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Data Scientist | Stitch Fix |
ABOUT THE TEAM
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company, our growing business is looking for data scientists to join us in the revolutionization of retail.
ABOUT THE ROLE
This is a full-stack data scientist role where you will get to work closely with stakeholders to identify impactful problems and build algorithmic solutions. Cross-functional collaboration is deeply meaningful to us and is how we’ve built up immense trust with our partners in Strategy, Product, Merchandising, Styling, Marketing, Engineering, Finance and Operations. You'll have the opportunity to bring your ideas to life by building on a foundation of strong business support, clear vision, engaged internal users, and bright, kind teammates.
YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…
Have access to a wealth of unique data and best-in-class algorithms, providing a solid foundation to build on
Own full life-cycle model creation and deployment
Be a data steward, ensuring that our raw inputs, intermediate results, and finished data products are accessible and useful in perpetuity
Holistically understand ambiguous business problems and frame appropriate work streams
Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems
Be empowered to take initiative and follow your innate curiosity
WE’RE EXCITED ABOUT YOU BECAUSE YOU…
Have strong cross-functional communication skills that will simplify and move forward complex problems.
Have applied data science experience, e.g. not just fitting a model but being held accountable for creating business value
Have an expertise in Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, Computer Science, or other quantitative field
Have strong software engineering and design skills and can work within a shared code base
Have experience applying data analysis, machine learning, or statistical modeling to real world applications
Like a good challenge and are driven to make a tangible business impact
WHY YOU'LL LOVE WORKING AT STITCH FIX...
We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
ABOUT STITCH FIX
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy
|
Principal Data Scientist | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Principal Data Scientist will hold an advanced quantitative degree with experience building recommender systems, matching, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. or Ph.D. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).7+ years of professional data science experienceApplied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.Previous experience with production models, i.e. post-deployment responsibilityRelentlessly curious and strong bias for action.Great communication skillsAbility to develop ML or statistical analyses software in R or Python
Responsibilities:
Develop algorithmic systems to enable personalization for our learners and instructors.Partner with product, marketing, operations, and engineering to identify impactful problems, and turn business goals into objective functions.Design experiments to rapidly establish causal relationships.Drive initiatives from conception to production with measurable impact to the business.Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the companyHealthcare Plans (Medical, Dental, Vision, Life)401k Company PlanRemote Position, fully work from home (or wherever you like!)Flexible PTO plus a floating holidayPaid VTO ("volunteer time off" to do community service/charity work)52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home programOnce in a lifetime opportunity to help revolutionize how the world learns!Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
|
Data Scientist | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).3+ years of professional data science experienceApplied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).Previous experience with production models, i.e. post-deployment responsibilityAbility to develop ML or statistical analyses software in R or PythonExperience with building recommender systems and implementation with a breadth of matching algorithms is a plus.Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.Relentlessly curious and strong bias for action.Great communication skills
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.Design experiments to rapidly establish causal relationships.Drive initiatives from conception to production with measurable impact to the business.Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the companyHealthcare Plans (Medical, Dental, Vision, Life)401k Company PlanRemote Position, fully work from home (or wherever you like!)Flexible PTO plus a floating holidayPaid VTO ("volunteer time off" to do community service/charity work)52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classesOnce in a lifetime opportunity to help revolutionize how the world learns!Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
|
Data Scientist Senior Life Company | Usaa |
Purpose of Job
About USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
We are currently seeking a dedicated Data Scientist Senior for Life Company. This position will develop artificial intelligence / machine learning models and work with IT in cloud migration effort. This position is open to the San Antonio or Phoenix Campuses working a Hybrid schedule or working fully Remote.
This role uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum Requirements:
Minimum Education:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required (total of 12 years) may be substituted in lieu of a degree.
Minimum Experience:
6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
4 or more years of experience with Natural Language Processing and Deep Learning or other Machine Learning methods4 or more years of experience with Data Wrangling processes4 or more years of experience accessing data in Hadoop framework4 or more years of experience with Domino Platform4 or more years of experience coding in SAS and/or SQL.Master’s Degree in Computer Science or Data Science
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 – $192,300.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is NOTavailable for this position.
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Marketing Data Scientist Mid Level | Usaa |
Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Skills:
Understanding and experience with marketing mix modeling and optimization, marketing multitouch attribution, pricing elasticity, and competitive intelligence.Understanding, both theory and practice, of the modeling techniques listed above as well as machine learning and artificial intelligence modeling techniques, and optimization/mathematical programming.Familiarity with Federal Reserve Supervisory and Regulatory Letter SR 11-7 (Supervisory Guidance on Model Risk Management).Experience with model governance, including model deficiency identification and remediation, independent testing, ongoing performance monitoring, and compensating controls in all aspects of the model lifecycle.Experience with working and taking vendor models through model validation process.Experience with process risk, control, and improvement.Technical experience in the US Armed Forces, including but not limited to US Army ORSA FA 49 (e.g., PDSI R1J) and US Navy OPNAV N81, is also desirable.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,000 – 158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
|
Data Scientist Midlevel | Usaa |
Purpose of Job
We are seeking a talented Data Scientist-Midlevel to work in a remote work environment.
This roles uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge particularly in areas such as AML, Fraud, Consumer Disputes, or Central Operations.Project experience with Graph Databases such as Neo4j, AWS Neptune or similar.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision,Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Principal Data Scientist | Citizens Bank |
Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, data infrastructure development, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, graduate degree preferred
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Sr Data Scientist | Citizens Bank |
Description
The quantitative analyst will lead the design, testing, approval and implementation of the model monitoring for all credit risk models. The analytics work will provide credible management direction to support business decisions and assist their understanding of the model risk, while ensuring full compliance with regulatory and internal policy requirements. Consult with business line and other model stakeholders to understand their analytics needs; consult with IT and data teams to determine data source, and work with colleagues to ensure consistency of our approach with established standards.
Lead efforts of model monitoring process through various approval committees (business approval committee, model risk committee, capital planning committee). Drive agreement on model validation and monitoring approach and communicate quantitative methods and results to various stakeholders (model development, business units, model governance and approving committees, regulators). Lead best practice modeling techniques, ensure comprehensive documentation, and maintain best of class model monitoring and outcome analysis. Coordinate the development, maintenance and enhancement of econometric expertise, stress testing for CCAR and CECL. Identify and assess the differing risk factors/credit attributes in support of the business and model users. Provide timely remediation of data issues through effective root cause analysis.
Qualifications
5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial background 3+ years relevant experienceAdvanced knowledge of SAS programming or other mainstream languages (i.e. SQL/ R/ Python), SAS certification a plusAbility to navigate multiple data warehouse platforms and different data environments Understanding of Credit Risk Parameter Models PD/EAD/LGD and concepts of regulatory requirements for stress testing and allowance. Statistical model development and/or validation experience preferredStrong analytical and program solving skills are required to interpret data and draw conclusionsExcellent written and verbal communications skills
Education:
Undergraduate and 5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial backgroundGraduate Degree and 3+ years relevant experience
Hours and Work Schedule - 3 days in the office, 2 remote
Hours per Week: 40Work Schedule: Monday-Friday
#LI-Remote
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Principal Data Scientist Marketing Analytics | Citizens Bank |
Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Hours and Work ScheduleHours per Week: 40
Work Schedule: Monday - Friday
#LI-Sourcer3
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Senior Data Scientist | Flightaware |
Description
FlightAware has built the world’s leading aviation software platform, processing over 180 million incoming messages an hour from over 30,000 feeds—over 150 gigabytes a day and growing—to provide the best, most complete, and most accurate real-time flight tracking services in the industry. We are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.
Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.
FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.
As a Data Scientist on our Predict crew, you will play a critical role in building our Machine Learning-based Foresight products, but performing A/B testing of ML models, evaluating our existing models and providing insight into their performance. Through your work, you’ll be improving the operational efficiency of the world’s largest airlines and airports.
This is a full-time role. Our team is headquartered in Houston, Texas, but we work as a distributed team and accept remote applicants.
Requirements
At least six years Data Science/Statistical Science experience (including education)Strong knowledge of Python and/or R.
Experience in multiple of the following areas:
A/B testing, experimental design, causal inference, functional data analysis, etc.General practical knowledge of statistics, data science, classic machine learning, and deep learning.Preferred: Experience with Kubernetes, Spark, and AWS.Nice to have: You are a private pilot or are you looking to pursue your private pilot license.
Responsibilities
Design a framework to A/B test our Machine Learning models.Explore the performance of ML models to provide guidance on where we can improve.Design QC procedures for training and evaluation data and explore outliers in complex data.Participate in our internal research projects, pushing the envelope of what’s possible in the aviation ML space.Develop your general software engineering skills in an environment that encourages constant learning and innovation.
Work Location
Remote (work from home)Applicants must live in the United StatesMust have current work authorization for any employer in the US and not require sponsorship now or in the future
Education
A master’s, or doctoral degree in statistics, mathematics, computer science, software engineering, or equivalent experience.
Compensation
Salary varies based on experience and backgroundMatching 401(k)Company-paid employee medical, dental and basic life/AD&D insurance
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Principal Data Science | Discover |
About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics, or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field 7+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
#LI-MJ1 #Remote #BI-Remote
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Lead Data Science Analyst | Discover |
About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
#Remote
#BI-Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Finance Data Science Manager | Discover |
About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Job Summary
This Model Production and Automation Manager role is in Discover’s Finance Data Science department, serving as a Subject Matter Expert in developing and maintaining financial forecast model execution process to produce forecasts for business planning, capital stress testing (CCAR), and other financial analysis activities. Financial forecasts include credit loss, CECL reserve, loan receivables, payments, and revenue across Discover’s card, student loan, personal loan, and home loan products, as well as direct-to-consumer deposits.
What You’ll Do
Manage a team of data scientists/modelers to provide modeling solutions to Discover businesses, while adhering to enterprise compliance and governance standards.Direct and lead the team to develop models, utilizing machine learning and other algorithms.Present the results of mathematical modeling and data analysis to management or other end users.Serve as a Subject Matter Expert in developing and maintaining statistical/econometric models to forecast credit loss, reserve for business planning and capital stress testing.Lead all technical aspects of model performance tracking, model risk management related analysis, and research on modeling techniques and tools to serve business needs.Develop advanced analytics solutions including segment, vintage, portfolio, and customer analytics to produce reasonable loss forecasts. Identify the key leading indicator for credit losses and evaluate the impacts from credit strategies.Maintain strong knowledge in model execution environment, including process automation, data structure development, programming, and testing across technology platforms to ensure accuracy and efficiency.Manage process automation, data structure development, programming, and testing model implementation across technology platforms to ensure accuracy and efficiency.Analyzing, designing, and validating structured/unstructured data sources, data transformations, data lineage, data quality rules, data models, built on traditional warehouses as well as Big Data systems.Partners with the business and technology teams to develop innovative data solutions to support advanced analytics initiatives such as AI, Machine Learning, and traditional analytic platforms.Support the analysis of financial forecast result and prepare management reports.Manage application development cycle, including collecting and preparing the business requirements for technology teams, conducing user acceptance test and implementation.
How You’ll Do It
Motivate and mentor the team of data scientists/modelers to grow their skills and careers―creating a nurturing environment that encourages innovation and continual learning.Leverage deep technical knowledge and leadership skills to drive development of data-science solutions and implement data-driven recommendations and outcomes.Act as a liaison among Corporate Risk, Finance, decision management, business technology teams, and other business partners in model-lifecycle to escalate model time to market.Build relationships with business partners.Allocate resources and prioritize projects, ensuring modeling projects are delivered in a timely manner.Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of "best-in-class" analytical capabilities to unlock new proficiencies and enhance performance, and quickly adapt to modern modeling techniques. Demonstrate technical knowledge in analytical tools.
Qualifications You’ll Need
The Basics
Master's degree in statistics, math, computer science, engineering, economics, or related quantitative field4+ years of experience in project management and modeling, or related field
Bonus Points If You Have
Ph.D. in statistics, math, computer science, engineering, economics, or related quantitative field6+ years of experience in the financial service industry, or related field1+ years of experience in people management or project managementPython, SQL, H2O, Pyspark experienceCredit Analytics on consumer lending products
#LI-CR1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Senior Data Scientist | Home |
Overview
We seek a seasoned researcher at the crossroads of medicine, physiology, data science and sensors, with experience in machine learning and artificial intelligence. With physIQ, you will work with large, rare troves of millions of hours of warehoused sensor data with clinical context, an advanced library of physiology feature algorithms, and a state-of-the-art platform for collecting new data in studies you may design. In this role, you will work with raw sensor waveforms and derived vital sign features from patients and human subjects using continuous wearable sensors in unconstrained activities of daily living, to develop and validate emergent analytics characterizing physiological health and behavior. This will rely heavily on the latest techniques in machine learning and artificial intelligence, including deep neural net and similar architectures. Our high-level objective is to harvest as much clinically useful information as is possible about patients using continuous wearable sensors, to achieve highly accurate algorithms using cutting edge data science techniques that pass muster with medical regulatory agencies. Strong validation practices are requisite.
A successful candidate will be capable of working independently to solve the algorithmic needs of the company without hand-holding, while also being a good collaborator with other members of the Research team and colleagues in the company.
A successful candidate will have strong organized coding skills.
A successful candidate will have strong written communication skills and good experimental documentation practices.
Responsibilities
Design, develop and validate analytical algorithms
Curate source data and investigate clinical cases
Write design and validation documentation under quality systems practices
Prepare publications and related market-facing validation collateral
Troubleshooting of production-released algorithms
Mentor junior staff and communicate concepts to non-research colleagues
Design and analyze clinical trials
Requisite Skills
4-year undergraduate technical degree (science, engineering)
4 years of post-undergrad experience with machine learning or AI
2 years of post-undergrad experience with wearable sensor data
Expert coding skills in one of Python, MATLAB or arguably similar ML/AI dev environment
Proven record of working independently to deliver results
Demonstrable knowledge of human physiology or medical data science applications
Nice to Haves
Master’s degree or PhD in scientific or technical area
Advanced knowledge of human physiology
Expertise in wearable sensors
Experience using git / gitlab
Experience using advanced features of Google Cloud Platform or Amazon Web Services
Expertise in signal processing
Expertise in statistics
Click here to apply
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Data Scientist Assistant Manager Insurance Modeling | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
This position is on the Modeling & Major Initiatives team within PAAS and is responsible for executing and/or leading predictive modeling solutions and rating plan developments in support of pricing insurance business. This includes utilizing accepted actuarial and statistical standards, methodologies, & knowledge, as well as, developing new predictive modeling algorithms and tools to make data-driven business decisions. This role works closely with pricing management and key business partners to develop and execute appropriate pricing, modeling and product strategies of moderate to high complexity to support business goals.
Key Responsibilities:
Uses best practices to develop statistical & actuarial techniques to build models and/or tools that address business needs and to improve the accuracy of our data and data-driven decisions
Provides thought and/or technical leadership, including contributions to improvement, development and innovation, and often serves as a subject matter expert
Utilizes effective project planning techniques to break down moderately complex predictive modeling projects into tasks and ensure deadlines are kept
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team and leadership to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
Responsible for selecting, reviewing, using and ensuring quality of data used to perform pricing analyses, in both modeling and non-modeling applications
Leverages understanding of insurance business, products, markets and regulatory environment to influence pricing & modeling strategies and business decisions
Identifies languages and tools that can bring efficiencies or needed techniques to the team
Mentor and/or supervise less experienced talent
Preferred Qualifications:
Education and Experience
Master’s or PhD degree – preferably in related field of study such as math/applied math, statistics/applied statistics
3+ years of related experience within the field of data science and predictive modeling
Certificates, Licenses, Registrations
None
Functional Skills
Experience in using statistical modeling and/or machine learning techniques to build models, as well as, evaluate models
Advanced knowledge in the use and ability to learn a wide variety of tools, data sources and computer applications
Ability to code in one or more programming languages and manipulate large, complex data sets
Advanced communication skills, including the ability to present written and verbal interpretations of highly specialized terms and data to others with different levels of expertise
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Advanced product, price, risk management and insurance regulation knowledge, including professional standards of actuarial/statistical techniques
Manage people/projects in a team environment, including ability to train, develop and mentor analysts
Compensation offered for this role is $97,000 to $130,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Data Scientist Logistics | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Data Science team at Allstate Roadside maximizes the marketplace efficiency of our services though influencing the supply and demand of rescues and rescue providers in real time. This involves developing a fundamental understanding of the rescuer behavior in a rapidly changing market, creating dynamic pricing strategies that can influence the supply of rescue providers in an area that is seeing a surge in demand. This ensures our customers enjoy the highest customer service while our rescue providers are able to maximize their earnings.
This Data Scientist/Machine Learning Engineer Python role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.
Key Responsibilities:
Work on optimizing real time dispatch systems and build scalable solutions to solve challenging problems.
Contribute to entire life cycle of machine learning models from ideation to deployment , monitoring and retraining.
Work on variety of data sets in a cloud analytics environment, crunching millions of samples in creative ways to discover new insights and operationalize powerful solutions
Collaborate with engineering teams to design and implement software solutions for data science problems.
Understand ambiguous business problems and convert them into data science solutions ie create insights, decisions, white papers and models.
Develop deep understanding of the business. Research solutions to recommend strategies that impact key organization metrics. Learn quickly and adapt to changing business needs
Qualifications
Degree in a quantitative field such as statistics, mathematics, computer science, finance.
Master’s or PhD, preferred, with 2 or more years of experience.
Bachelors and 5 or more years of experience.
Hands-on experience in implementing, maintaining, and running machine learning models in production in Python.
Experience using SQL to pull data.
Experience working with ML frameworks such as SkLearn, XGBoost, and Tensorflow.
Previous work doing Big Data Processing using Spark a plus.
Experience designing experiments and ability to infer causal relationships a plus.
Experience with operations research a plus.
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Transparent Ly Data Scientist Manager | Allstate |
Transparent.ly is a real-time pay per click bidding platform that allows advertisers to precisely bid to their target acquisition cost per new customer. The platform allows digital media owners to monetize their consumer traffic in insurance, mortgage and higher education by showing highly relevant ads to in-market consumers. Transparent.ly is the only platform that offers complete transparency to all parties in the transaction. Founded in 2018, Transparent.ly has been profitable since inception and is growing rapidly.
Job Description
This role will be focused on optimizing the performance of advertisements for advertisers and publishers. Publishers typically provide a wide variety of voluntary consumer data that is ingested by Transparent.ly. The goal is to optimize the resulting ads shown to consumers to improve click through rates as well as end of funnel performance for advertisers. From the advertiser perspective, the goal is to optimize the consumers that are sent to their landing pages to improve the rate at which the consumers purchase a policy or loan.
We are looking for a hands on data scientist who can make insights using advanced techniques and apply and productionalize those insights to improve performance.
Clear thinker who can communicate complex concepts in terms everyday people can understand.
Strong background in statistics and applied techniques (linear/non-linear, probability, bootstrapping, etc).
Experienced in predictive analytics, in particular ad performance prediction.
Deep learning / neural networks experience, including applying clustering, classification and random forest.
On the job experience creating algorithms (regressions, simulations, decision trees, neural networks, Bayesian, clustering, etc.) and models that best solve for given business opportunities and challenges.
Qualifications
Strong background in data mining and data architecture.
Solid programming skill in Python, R & SQL.
Knowledge of AB-testing and the related analysis.
3-4 years of applied data science experience.
Hands on experience cleaning datasets and training data.
Quantitative degree from a top 25 school, preferred but not required.
Masters or post undergraduate level coursework in machine learning.
Familiarity with implementing machine learning through AWS.
Knowledge of the insurance or fintech verticals.
Hands on experience working with online marketing data.
Professional experience working on recommendation systems.
Minimum Skills
Analyze a large body of consumer data to improve click-through-rates on ads.
Analyze advertiser performance data to identify consumer attributes most closely associated with purchase for a particular advertiser.
Optimize consumer demand while balancing advertiser performance.
Create and make bidding strategies in the platform to execute on findings.
Champion and project manage data related initiatives with engineering and business teams to productionalize insights.
Explain methodologies and insights to company executives and clients to promote understanding and gain buy in.
Manage a team of analysts and develop the data science practice within the company.
Establish and organize a regular process to conduct client optimizations and communicate actions to fellow team members and clients.
The candidate(s) offered this position will be required to submit to a background investigation.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Transparent.ly is a part The Allstate Corporation. But you’ll be working for—and at—Transparent.ly. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Salary Range for this position is $147,000 - $215,000.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment
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Data Scientist Innovation | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate is seeking to hire a Senior Data Scientist to join our Innovation team at our downtown Chicago location. Allstate’s Innovation Team is at the forefront of change and growth within the company, driving the creation of standalone businesses or reinvention of existing ones. Innovation projects typically include cross-functional team members within Business Strategy, Product, Technology, Design, and Go to Market functions, who use data-driven prototypes and testing to achieve desired business outcome. Past projects in the team have included the development of a new consumer “digital footprint” technology, announced at CES 2019, and a project to transform the life insurance underwriting process by leveraging Electronic Health Records (EHRs). The team is currently focused on a very high profile initiative helping Allstate’s Marketing department transform its Customer Acquisition Sophistication through the development of predictive models leveraging a wide variety of behavioral and demographic consumer data points.
Key Responsibilities:
The Senior Data Scientist will develop advanced predictive models and exploratory data analyses that will
unveil key data insights leveraging both structured and unstructured data. This role will work closely with Data
Engineering and the business team to determine what data insights need to be derived and the problem
statement that should guide the analysis in order to solve business problems. This individual will be a key
communicator of analytical results and insights to various stakeholders across and outside the company. This
will require an advanced understanding of which data visualizations and techniques will be most effective in
communicating insights to the business team. The Senior Data Scientist will be required to drive all analytics
efforts supporting the product development lifecycle.
Education and Experience:
Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, or engineering with 6 or more years of experience in a data science and/or predictive analytics role
OR
Masters or Ph.D. degree in a relevant discipline with 3 or more years of experience in a data science and/or predictive analytics role.
Ability to independently develop advanced statistical and machine learning models using a variety of techniques (e.g. GLM, Neural Networks, Treebased learning methods).
Comfortable bringing new ideas to the team and assessing their benefits over currently used methodologies.
Ability to identify the appropriate modeling technique given a problem statement based on the availability, variety, and quality of data.
Ability to identify and define a problem statement given a business problem.
Expert level knowledge in one or more languages commonly used in data analytics (Python, R, Java, Scala, etc.). Python / R proficiency is strongly preferred.
Pyspark experience is preferred.
Strong knowledge in SQL and database management with bigdata platforms.
Experience visualizing complex data insights using tools such as ggplot2 in R or seaborn/matplotlib in Python.
Experience in managing, validating, and manipulating large, complex datasets.
Strong ability to communicate complex analyses and concepts to nontechnical audiences within and outside of the organization.
Comfortable performing independent research to support analytics decisions as part of the product lifecycle.
Compensation offered for this role is $97,000.00-$130,000.00 per year + Bonus and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Senior Data Scientist | Veeva Systems |
Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.
We are the first public company to become aPublic Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is aWork Anywhere company which means that you can choose to work in the environment that works best for you – on any given day. Whether you choose to work remotely from home or work in an office – it’s up to you.
The Role
Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
Veeva is seeking an intellectually curious, resourceful, and collaborative Data Scientist to join Veeva’s Advanced Analytics team. At Advanced Analytics we build the technology and data science products that power Veeva’s targeting, measurement, and optimization solutions. This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.
What You’ll Do
Apply Machine Learning and Statistics techniques to large health data sets to build new products and methodologies Collaborate closely with a team of Data Scientists, Product, and Engineers to improve and implement methods and features Rapidly build prototype product solutions, communicate findings, iterate Use technologies like AWS, Spark, Python, R, SQL, and Git in addition to proprietary data mining software on a daily basis
What You’ve Done
Degree in a relevant technical field (Machine Learning, Computer Science, Operations Research, etc) 5+ Years of hands-on data science experience Highly proficient in Python and SQL Experience with source control workflows like GitHub Experience working with Big Data Technologies like Spark and AWS Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Nice to Have
Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, operations research, etc) Practical experience applying Causal Inferences methodologies Experience with R preferred
Perks & Benefits
Flexible PTO Allocations for continuous learning and development Health & wellness programs
#LI-RemoteUS #BI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
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Data Science Manager Search And Discovery | Gopuff |
Back to Careers
Are you passionate about information retrieval, machine learning and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
As a Data Science Manager on the Gopuff Search and Discovery team, you’ll lead the team to tune our search retrieval, create ranking models, develop query understanding techniques and build recommenders so that we can show the perfect products to users to provide the best discovery experience. You’ll have the opportunity to make a huge impact on the future success of Gopuff.
Responsibilities
Lead, manage and grow the Search and Discovery data science teamWork with product partners and the team to define product roadmap and quarterly goals.Hold accountable for the delivery of data science products.Refine the notion of search relevance between a product and a query and achieve personalized search results.Use natural language processing techniques to understand the intent behind a search query to better serve results.Build next generation recommender systems with personalization that power the Gopuff app to achieve better conversion rate and AOV. Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure and Elastic cloud. Mentor and grow team members to achieve their career milestones.
Qualifications
6-10 years of experience in data science, and at least 2 years of experience as a tech manager.MS or PhD in statistics, mathematics, computer science, engineering or another quantitative field.Extensive experience in search, ranking algorithms and recommender systems. Excellent Skills in Python and SQL.Experience in deploying models in a production environment.Experience in managing stakeholder relationships.Excellent communication and presentation skills.Ability to explain technical concepts in simple terms to business stakeholders.
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
Apply for this job
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Lead Data Scientist Supply Chain Us | General Mills |
OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
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Sr Data Scientist | General Mills |
Overview
Blue Buffalo is seeking a Data Scientist to be a critical member of Consumer & Market Intelligence Business Analytics team. As the Data Scientist at Blue Buffalo, you will be responsible for bringing tools and capabilities to Blue Buffalo to help achieve business objectives through analysis and modeling. You will manage a strategic partnership with central CMI and lead the delivery of category forecasting and demand spaces for Pet and lead application of the learning with Blue business teams. You will be the connector of 1st, 2nd, and 3rd party data sets for analytic use across Blue Buffalo. As the Data Scientist, you will lead analytics using multiple data sets that will drive the acquisition of new pet parents and growth for Blue Buffalo.
Key accountabilities
Develop innovative tools and capabilities that help business partners achieve objectives throughanalysis and modellingCurate and connect data sets for broad analytic usageOwn the identification of emerging trends that could create risk or growth opportunities for BlueLead advanced analytics research using 1st party data to understand strategies for gaining new pet parentsManage strategic partnership with central CMI and lead the delivery of category forecasting and Demand Spaces for PetLead Blue’s D&T pod to ensure data sources are connected and Blue CMI is meeting the needs of Blue Buffalo’s business teamLead advanced analytics of Blue Buffalo’s brand equity data Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other
MINIMUM QUALIFICATIONS
Bachelor's Degree in Market Research, Statistics, Mathematics, Business Analytics, Data Science, or related field3-5+ years of experience transforming data from multiple sources and conducting business analyticsExperience and comfort with statistical analysis, modeling, clustering and data mining techniques to identify trends and insightMastery with modelling tools (i.e., R, python, SPSS, etc.)Expert knowledge of syndicated data (e.g., POS, ecommerce data sources, household panel)Ability to synthesize multiple data sources to build and tell a fact-based story with credibilityExcellent collaboration and organizational navigation skills and agility to work on multiple projects with multiple stakeholders. Proactive problem solver that has strong business acumenAbility to communicate, collaborate and build relationships virtually
PREFERRED QUALIFICATIONS
Master’s Degree in Business Administration, Consumer Behavior, Data Science or related field.7+ years of experience in business analytics working with a NAR Segment OUExpertise in a variety of traditional and modern qualitative and quantitative research techniquesProven ability to work in an agile environmentExpertise within advanced analytics and development of statistical models
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Lead Data Scientist | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently. The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists.
What You’ll Do:
Lead the design, implementation, and delivery of analytics products and services
Own the predictive modeling process from ingestion to deployment
Design and evaluate longitudinal experiments and make recommendations based on the findings
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Lead research development projects and data science project plans for clients and internal initiatives
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Manage a team of data scientists and analysts using your background and experience and help others grow
Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.
What We Are Seeking:
3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
Experience with experimental design and causal inference
Advanced understanding of a statistical programming language, preferably R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
15 weeks paid parental leave
Professional development & learning stipend
MacBook Pro laptop
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Flexible working hours
Telecommuting/Remote options
Pre-tax transportation options
And more!
The salary for this position is $95,000 annually.
While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify.
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Data Scientist | Opal |
About the Job The Data Scientist/ Product Analyst at Opal is responsible for analyzing customer behaviors across the customer journey and helping make the customer experience and business outcomes better. This position will create and own multiple Product Key Performance Indicators (KPI’s) while nurturing a deep understanding of product health and the customer experience. The Senior Product Analyst will aid in strategic decisions by owning the data storytelling process. Key collaboration points include working with our Product Management, Engineering, Marketing, Sales, Finance, and Leadership teams. About You You are a highly strategic and curious individual who loves telling stories through data and has strong familiarity with SaaS and PLG metrics. Your superpowers include identifying and capitalizing on product trends while also improving product adoption, retention, and engagement. Your ability to translate and communicate the value of your analyses, both to technical and non-technical stakeholders, is a core part of your success. About Opal Opal is the planning platform that connects strategy to execution. Marketing and communications teams working together in Opal get the visibility they need to stay aligned and collaborate efficiently. Visit workwithopal.com to learn why Opal is used by teams everywhere including Starbucks, Target, Minted, General Motors, Ikea and Zillow.Responsibilities Perform strategic and one-off data analysis primarily in support of Product Management. Support the organization in using data to launch and iterate on PLG motions. Build visualizations, dashboards, and define key metrics that enable the success of our product. Find opportunities to bolster product usage, user retention, and overall engagement via insights in our data. Be the DRI for Product KPIs. Help craft and evaluate A/B tests to improve user experience and engagement. Uncover actionable insights and trends in complex, sprawling datasets and articulate them to roles across the organization. Develop user archetypes and build dashboards to demonstrate their usage patterns. Build code that fits the standards of our engineering best practices. Work in an iteration fashion to rapidly deliver value on a consistent basis. Consistently document your work and actions so the work is repeatable and can be run by others. Skills, Experience, Knowledge: 5+ years of related data-engineering and/or business intelligence (BI) engineering and analytics experience. Demonstrated ability to work effectively with individuals from diverse communities and cultures. Experience in creating ETL pipelines, preferably with Apache Airflow. Significant experience in modeling information for both relational, dimensional and log-based databases. Experience with PLG motions and tactics. History working with standard SaaS metrics and using data to find insights to improve them. Deep understanding of SQL, dimensional/relational databases and data access patterns. Working familiarity with BI/reporting tools, such as Metabase. Working familiarity with modern web application analytics toolchain, such as Segment.io, Mixpanel, Snowflake, Fivetran, Pendo, etc. Experience using dynamic languages like Python and Ruby. Understanding of Docker and CI/CD deployment pipelines. Ability to work with structured, semi-structured, and unstructured data sources. Detail-oriented and able to enforce consistency in naming conventions, standards and nomenclature. A passion for building great software products and deeply understanding user behavior. Effective written and oral communication skills when interacting with both technical and non-technical staff. Comfort working in a highly agile, intensely iterative software development process Experience owning a project from concept to production, including proposal, discussion, and execution Self-motivated and self-managing, with strong organizational skills Skilled at time and project management with the ability to move between priorities and manage deadlines across multiple focuses and teams. Experience working with employees at all levels, from interns to Executives. Experience working in a fast-paced, high-growth, start-up environment is a plus. Natural alignment with Opal’s Values: Professional, Intentional, Steadfast, Helpful, Creative, Passionate, and Empathetic Demonstrated ability to work effectively with individuals from diverse communities and cultures. Education:Undergraduate degree or equivalent related work experience required; advanced degree in a related field a plus. Competitive, market-leading compensation package, including stock options 100% company-paid Medical/Rx, Dental, and Vision Insurance for individuals (plus company-subsidized dependent coverage) Health Savings Account (HSA), Flexible Spending Accounts (FSA) for Health, Dependent Care, Commuter, Parking Company-paid Life/AD&D, Short and Long Term Disability Insurance Pet Insurance for your furry friend Unlimited Vacation, Paid Sick Time, and Paid Holidays Paid Parental Leave & Back-to-Work Program 401(k) and Roth Retirement Plans Company-sponsored outreach & activity programs Pay of $90,000 - 120,000 DOEOpal is an equal-opportunity employer and committed to creating an inclusive and diverse environment. We believe a diverse workplace promotes innovation and enhances decision making. We encourage applications from all qualified candidates and will consider all applicants without regard to race, color, religion, gender identity or expression, national origin, sexual orientation, disability, age, or veteran status.
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Lead Senior Data Scientist Analytics | Spin |
About Spin
Spin is a micromobilty company that operates fleets of rental electric bikes and electric scooters in cities and campuses across the United States and Canada. Spin launched the first-ever stationless bike share program in the United States and was instrumental in crafting the world’s first mobility permitting system that is now used around the world. Spin is known for its city- and campus-friendly approach to micromobility, and was the first operator to deploy a number of technology innovations to improve rider compliance, such as sidewalk riding detection technology. Spin consists of a diverse team of experienced professionals from the public sector, private sectors, and the transportation advocacy world, all of whom are committed to fulfilling the company’s mission - to help create a world full of 15-minute cities.
For more information visit https://www.spin.app
About the Role
We are looking for a Data Scientist to join our Analytics team to generate insights and build data products that will allow us to answer some of our toughest operational questions to help us innovate and grow. You will be solving complex business problems, performing statistical analyses and identifying and solving data quality issues. You will be collaborating with engineering and operations to define data requirements, identify new opportunities and shape strategic direction. If you are passionate about using data to solve hard problems, we want to hear from you!
The Team
Our team consists of people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.
We work in small collaborative groups to keep processes and overhead low, so we have a lot of trust and autonomy to perform the work required to build the best product.
Responsibilities
Analyze data and develop data models to enable self-serve insights at scale
Define business metrics that measure the health of our business and product
Collaborate with product, engineering, finance, business and operations teams to translate business insights into decisions and actions
Develop dashboards and frameworks to monitor business and product performance
Design and analyze A/B and multivariate tests to measure business impact
Qualifications
Degree in a quantitative field like analytics, statistics, economics, computer science, or applied math
Minimum of 5 (3 with advanced degree) years of relevant experience in data science or analytics role
Advanced SQL skills
Experience in Python (preferred) or R including data science and visualization libraries
Extensive experience creating data visualizations with tools like Looker (preferred), Tableau or Mode
Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business
Preferred Qualifications
Experience with Github / Gitlab and source control
Experience contributing to or developing an ETL using such tools as Airflow and db
Benefits & Perks
Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership
Competitive health benefits
Unlimited PTO for salaried roles
Pre-tax commuter benefits
Monthly cell phone bill stipend
Wellness, Home Office & Internet perk for salaried roles
A monthly Mental Health Day-Off for salaried roles
401K
WeWork Pass (eligible remote salaried FTE)
Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law.
Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
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Data Science Manager Search And Discovery | Gopuff |
Are you passionate about information retrieval, machine learning and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
As a Data Science Manager on the Gopuff Search and Discovery team, you’ll lead the team to tune our search retrieval, create ranking models, develop query understanding techniques and build recommenders so that we can show the perfect products to users to provide the best discovery experience. You’ll have the opportunity to make a huge impact on the future success of Gopuff.
Responsibilities
Lead, manage and grow the Search and Discovery data science team
Work with product partners and the team to define product roadmap and quarterly goals.
Hold accountable for the delivery of data science products.
Refine the notion of search relevance between a product and a query and achieve personalized search results.
Use natural language processing techniques to understand the intent behind a search query to better serve results.
Build next generation recommender systems with personalization that power the Gopuff app to achieve better conversion rate and AOV.
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure and Elastic cloud.
Mentor and grow team members to achieve their career milestones.
Qualifications
6-10 years of experience in data science, and at least 2 years of experience as a tech manager.
MS or PhD in statistics, mathematics, computer science, engineering or another quantitative field.
Extensive experience in search, ranking algorithms and recommender systems.
Excellent Skills in Python and SQL.
Experience in deploying models in a production environment.Experience in managing stakeholder relationships.
Excellent communication and presentation skills.
Ability to explain technical concepts in simple terms to business stakeholders.
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
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Data Science Analytics Lead | Outschool |
The Company
Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.
We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.
We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.
The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.
Last year Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.
The Role
Outschool is searching for a Data Science & Analytics Lead to join our team. We're looking for someone with demonstrated experience in recruiting, hiring, managing, and mentoring Data Scientists and Analysts. You'll collaborate with members of all teams, working especially closely with Data Engineering and Product, forging strong partnerships. Ideally, you have experience driving teams to become trusted thought partners and have worked cross-functionally to bring organizations to a state of being truly data-driven.
CORE RESPONSIBILITIES:
Recruit, hire, manage, and mentor world-class Data Analysts and Data Scientists
Leverage your people management and technical expertise as well as design thinking to help a growing team of Data Scientists and Analysts deliver high-impact, actionable insights
Improve reporting and data tools to empower data-driven decision making across our Product and Business teams
Set your team up for success by leveraging business insights, technical acumen, and strong cross-functional partnerships to communicate decisions via a clear data roadmap
Partner with Product leaders to identify, analyze, and size opportunities to drive product prioritization and strategy
Manage tracking the progress of feature rollouts and the long-term success of products
Lead teams to solve mission-critical business problems with appropriate statistical rigor
Ensure that projects have sound technical architecture and make use of appropriate technologies
DESIRED EXPERIENCE & SKILLS:
Strong track record of managing, mentoring, and hiring data analysts and data scientists
Significant experience conducting statistical analysis to drive business impact using Python or R, and SQL
Experienced team leader with the ability to effectively and strategically support the data needs of an organization and work closely with key stakeholders, including Data Engineering
Proven experience guiding data architecture, data pipelines, and ensuring data quality
Skilled in experimentation, including design, communicating experimental setup, implementation, and interpreting results for stakeholders
Understanding of marketplace dynamics and the unique data needs for these business models
Familiarity with consumer facing business metrics and best practices for measurement (eg Retention, CAC, LTV etc.)
Working knowledge of machine learning, predictive modeling, and causal inference methods
Strong communication skills, specifically when driving projects in a leadership role
Experience with owning DBT pipelines and visualization of those in tools such us Looker
OTHER CONSIDERATIONS:
Experience and understanding of large-scale online marketplaces or business
Experience working with education data
Have worked at a high growth startup and wore many hats while doing so, not just the data one
Experience at companies with social impact or non-profit divisions
OUTSCHOOL CARES:
At Outschool, we believe that taking care of one another enables us to do our best work. To us that means:
•Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.
•Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.
•PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.
•Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.
•Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!
•Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.
Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.
Outschool is committed to providing reasonable accommodations to neurodiverse individuals, applicants with physical and mental disabilities, and disabled veterans. For individuals who would like to request an accommodation, you may reach out to us at [email protected] or through your Recruiting point of contact as you schedule your initial interview.
Benefits packages are included for full-time employees only.
Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada.
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Senior Data Scientist Search And Recommendations | Newsela |
The Role:
The Senior Data Scientist will improve the Content Discovery experience for teachers and students, primarily working on improving personalization and search relevance. You will identify and improve algorithms feeding into our personalization and search engines to drive meaningful improvements on user engagement. Additionally, you will evaluate your candidate algorithms ( heuristics-based or machine learning/NLP approaches), by using the appropriate offline and online metrics for A/B tests. You will also become an expert at our user problems, using data to validate user problems and understand our content. These understandings can translate into automating signals to feed into our search relevance and personalization engines. Reporting to the Director of Data Science, you will partner closely with the Search and Recommendations product, engineering, and design teams to have a holistic understanding of our Content Discovery strategy..
Why You’ll Love This Role:
As a member of our growing Data Science team, you will have the opportunity to build our search and personalization engines from the ground up, directly impacting educational outcomes of our students. You will have the opportunity to improve search relevance, work with NLP by developing algorithms. You will also gain exposure to the educational space and how students learn in the classroom. Your work will have a direct impact on helping teachers quickly find meaningful materials for their classrooms and engaging and appropriate content for students, which will ultimately scale Newsela’s ability to bring engaging, culturally responsive learning content to K-12 classrooms nationwide.
Why We’ll Love You:
You have 3-5 years of experience in data science and machine learning, preferably with experience in search relevance. You have demonstrated success in an end-to-end machine learning pipeline, from analysis to choosing of algorithms, to working with the engineering team to deploy to production. You are able to leverage your product-thinking mindset and expertise in machine learning tradeoffs to effectively choose solutions best for teachers and students. You prefer deploying practical solutions to test rather than researching theoretical ideas, and you prefer simple, interpretable solutions over complexity. While not required, experience with a content platform and personalization engines, or experience with NLP is a plus.
About Newsela
One of the fastest growing tech companies in K-12 education, Newsela was founded on the principle that while every child may have unique learning preferences, they all deserve a rich learning experience that ignites a love of learning. We built our platform based on learning science research to deliver the most engaging, authentic content to modernize how teaching happens in the classroom. Along with interactive assessments and tools, we provide teachers with digital content at five reading levels -- from +100 of the best sources -- that is relevant to the diverse backgrounds and interests of their students. Since we started in 2013, we’ve established a presence in 90% of U.S. K-12 schools and over 2.5M teachers and 37M students have registered with Newsela.
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Research Scientist | Deepgram |
At Deepgram, we spend every day tackling big, real-world challenges in speech. We strongly believe that speech is the next frontier of interface and know that the speech technologies of 30 years ago won’t be tomorrow’s game-changers. That’s where Deepgram’s Deep Learning Research Scientists come in. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights. These challenges provide opportunities for creativity and innovative problem-solving every day.
Deepgram is looking for a Senior Deep Learning Research Scientist to tackle some of the most exciting and difficult problems at the forefront of ASR and NLU technologies. In this role, you will become a leading expert in our model training techniques and a valued resource for the team on issues related to model creation and refinement. You will design, train, and deploy state-of-the-art ASR models on the latest GPU hardware, as well as explore new learning techniques, data analytics methods, and software architectures to improve Deepgram’s product. You will also lead the identification and investigation of opportunities to improve our existing solutions as well as developing new capabilities, including research on the design and deployment of CNNs and RNNs, the development of new ASR and NLU training algorithms, and more.
Our ideal candidate will thrive in a fast-paced, impact-driven startup environment where learning new skills on the fly is admired and encouraged. You’ll work alongside top-caliber ASR and DL experts in an environment that is collegial and fun. You’ll see your curiosity and enthusiasm for the research cascade into the work of your peers. You’ll respond to new challenges by taking initiative, making a plan, following the data, and communicating your results to the team for feedback. You’ll learn our customer use cases and write efficient, production-quality code to respond to their needs. You’ll have the freedom to innovate and uncover breakthroughs — and influence our product roadmap in turn. We look forward to you bringing your whole self to work, sharing learnings from your latest experiments, and collaborating with us to advance the state of speech technology.
The Impact
Understand the latest advances in deep learning and speech analytics, with a particular eye towards their implications and applications within our products.
Develop new, or maturing existing, models for speech analytics.
Analyze new datasets for untapped potential.
Deploy new models to production.
Configure systems (software, hardware, network, etc.) for optimal machine learning performance.
Develop state-of-the-art tools for correcting, improving, and enhancing ASR performance and NLU features using a variety of deep learning techniques.
Remain steadfastly results-driven in the face of ambiguous problems and uncertain outcomes.
Skills Needed
5+ years of experience in deep learning research, with a solid understanding of the applications and implications of different neural network types, architectures, and loss mechanisms.
Experience working with speech data in the context of research or industry intelligence systems.
Familiarity with one or more of the popular deep learning frameworks: PyTorch, TensorFlow, Keras, etc.
Competence with Python, and preferably knowledge of C, C++, and/or Rust.
Familiarity navigating UNIX-style systems.
Comfort with communicating and brainstorming in groups, and with leading new research initiatives.
Understanding of traditional machine learning algorithms and how to use them effectively in practice.
Deepgram’s end-to-end deep neural network is revolutionizing the speech-to-text (STT) market and taking on the big guys. We’re redefining what companies can do with voice technology by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We’ve raised over $56 million and have been recognized as an Inc. Best Workplace (2021), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others.
Our tech advantage is end-to-end deep learning, but our strength lies in our diversity of people, ideas, and experiences that allow our company to create amazing STT products for people who are true innovators in the field. We believe every voice should be heard—and understood—from our transcriptions to our customers to our employees. Come join our revolution to unlock the power of voice technology for everyone. We want to hear what you’ve got to say!
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Data Scientist | Oscar |
Hi, we're Oscar. We’re hiring Data Scientists to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
We are looking for several new Data team members to join us on a few of our workstreams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Associate Director or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at [email protected] to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.
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Lead Data Scientist | Mntn |
At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Performance team, you will guide the analysis, methodologies, prototypes and evolution of our performance system. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:
Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.
What You’ll Bring:
6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.
MNTN Perks
100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development
About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
#Li-Remote
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Data Scientist | Butter Payments |
This position can be based in San Francisco or Remote.
Butter is the payments stack for the modern subscription economy. We're building an inclusive remote-first culture that enables our employees to contribute from anywhere in the world. We believe that anyone can have an impact so we want you to join our team to modernize subscription payments.
TLDR:
You will predict (probabilistically estimate) the future to drive value for our customers.
Problem TLDR:
Our customers rely on us to help them recapture lost revenue and drive insights into their payments data.
Problem Expanded:
You will help us uncover what we don't know and should be looking at, propose new areas for us to analyze and model. We'll also look to you to suggest new products we should consider offering customers. You'll ensure we have clean and accurate data for both reporting and modeling purposes.
Scope:
You will build models, data pipelines, and business critical reports to power the product and our business.
Requirements:
Bachelors or Masters Degree in an Analytical field
3+ years of experience delivering value through data
Python
SQL - Intermediate level and up
Optional:
You think this description of random forests reads like poetry.
Philosophies:
You strongly believe that action creates information.
You want to work on a small team and have lots of responsibility.
You look forward to being scrappy and enjoy overcoming challenges.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
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About Butter
Modern subscription companies accidentally lose up to 4% of their total customer base each year due to churn caused by legitimate payments failing (passive churn). These payments fail either because they are falsely detected as fraud or because of archaic systems in an aging payment ecosystem.
Butter uses patented machine learning and artificial intelligence to deeply understand the real time state for any given payment and then optimizes for success. Butter offers a free assessment and trial to validate a customer’s found revenue opportunity, integrates with existing payment processors, and charges an ongoing success fee tied to revenue recovered.
Butter typically recovers up to $1M or more of found revenue for our customers and gives 1% back to causes that support our mission of enabling anyone anywhere to have access to the things they deserve and need.
Butter is well funded by leading investors and offers a competitive benefits package including unlimited PTO, 401k, and comprehensive health insurance. The salary range for this position is $112,000 - $234,800.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
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Butter Payments is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Butter considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Please review our CCPA policies here.
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Data Scientist | Missionwired |
At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.
We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. Each cycle is an opportunity for us to support organizations across the country while expanding the Democratic majority in the Senate.
We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.
We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.
Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.
Overview: We are looking for a mid-level data scientist to join our team of data scientists and engineers in applying machine learning to online fundraising through our AdvantageAI product. You’ll be bringing state-of-the-art machine learning tools to the biggest database of its kind in the industry to support our mission-driven clients. Over the last few years alone, we’ve invented and honed an approach to digital cultivation that boosts response rates by 600%, and our data scientists are the brains behind The Digital Co-Op, the highest-quality acquisition platform in the online fundraising space.
You’ll join a team that is deeply devoted to inclusion, particularly in the following three areas:
Process: We create a context in which everyone is empowered to contribute.
Data-Driven: We are committed to using the power of data to support important causes.
Philanthropy: We empower diverse groups of individuals to participate in giving.
With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.
You will be responsible for:
Joining each and every one of your colleagues in creating an inclusive workspace;
Thinking deeply about using data in creative ways to address client needs;
Designing experiments to test advancements in modeling client data;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization.
Must-have qualifications:
1-2 years of professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with Python;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.
Nice-to-have qualifications:
Working knowledge of Pandas, PySpark, machine learning libraries;
Familiarity with big data tools using AWS or other cloud services;
Experience developing machine learning models;
Experience with the product ideation process, such as in a research environment;
Experience working with cross-functional teams in a dynamic environment.
Salary range for this role is $75,000 to $90,000 per year, depending on experience.
Benefits
-100% employer-paid premiums for platinum-level medical plan on a national health care network
-100% employer-paid life insurance and short term disability
-50% employer-paid vision and dental insurance
-401(k) with 3% employer contribution
-17 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off.
-Paid parental leave at 100% of your salary
-Financial support for reproductive and transgender care
-Flexible telecommute and remote work policies
-Company issued Mac products for home offices
-Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available
If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!
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Senior Data Scientist Point Of Sales Ecosystem | Square |
Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The XPOS team at Square is focused on building an ecosystem of point-of-sale (POS) apps that feels cohesive to sellers, regardless of where they start. As a member of the XPOS data science team, you will play a critical role in enhancing our understanding of the XPOS app ecosystem and using data to drive decision-making throughout the product development lifecycle. You will report to the XPOS DS lead, and partner with product, engineering, marketing and other cross-functional stakeholders to help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, and provide insights and drive strategic decisions with data.
You will:
Partner directly with the XPOS product team to identify opportunities for using data to drive business outcomes and guide product development decisionsApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaContinuously improve data quality and accessibility, and work with data engineering teams to optimize data pipelines and storageDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Strong experience in data analysis, statistical modeling, and machine learning, with a focus on applying these skills to solve business problems.Familiarity with data engineering best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Scientist Invoices | Square |
Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Data Scientist Pricing Models | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Data Scientist to join the pricing team for our real-time bidder team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to launch new pricing and conversion ML models
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Demonstrated experience with Python for ML workflows
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and workflows for model training
The following experience would be a plus:
Hands-on with deep learning in production pipelines
Ad tech and/or mobile space
Perks:
Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $125,000 and $218,000 per year. For applicants based in Colorado at the start of employment is expected to be between $85,000 and $183,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $120,000 and $205,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $115,000 and $210,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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Senior Data Scientist Automation | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:
Design and test predictive models, optimization algorithms, and control systems at large scale that control real money and target specific financial goals
Build and enhance production systems in Python by writing well-structured, flexible, and tested code
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Apply theory (bidding strategy for first-price auctions, exploration/exploitation tradeoff, budget pacing approaches) to large streaming data
Explore and develop expertise with cutting-edge methods for streaming data and realtime control
Propose and engineer new model features from our continuously growing and diversifying stores of data
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Track record of problem-scoping and problem-solving on visible business initiatives
Experience writing, reviewing, and deploying production code as part of a team
Natural inclination to write well-structured and flexible code
Comfort with audience-appropriate communication (to business stakeholders, engineers, data scientists)
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Python expertise for scripting and model prototyping; proficient with SQL
The following experience would be a plus:
Ad tech or mobile game industry
Perks:
Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $125,000 and $218,000 per year. For applicants based in Colorado at the start of employment is expected to be between $85,000 and $183,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $120,000 and $205,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $115,000 and $210,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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Data Scientist | Dropbox |
Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Develop a deep understanding of customer journey phases and key business metrics
Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Understand what matters most and prioritize ruthlessly
Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
Significant experience with SQL and large unstructured datasets such as Hadoop
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Solid background in running multivariate experiments to optimize a product or revenue flow
Strong verbal and written communication skills
Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
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Staff Data Scientist Advanced Analytics | Drata |
We are looking for a skilled and experienced Senior Data Scientist to join our team! We are a fast-growing SaaS company that’s already achieved unicorn status specializing in automating security and compliance. As the Senior Data Scientist, you will be a key member in the data team, working closely with business stakeholders to unlock growth opportunities with advanced analytics and data science initiatives! If you like to roll up your sleeves and make an immediate impact, and be a high-visibility contributor within the organization, this role might be for you!
What you’ll do:
Develop and implement data-driven strategies to improve customer experience, increase engagement, reduce churn, and drive growth.
Collaborate with cross-functional teams to identify and implement data science initiatives that align with business goals, and communicate insights and recommendations to stakeholders in a clear and actionable way
Lead the development of machine learning models that enhance the company’s data analytics capabilities, and optimize business operations and improve efficiency for various functions.
Mentor and train team members on best practices, tools and techniques for data analysis and modeling.
What you’ll bring:
At least 5 years of experience with a solid background in data science or a related field, with a track record of developing and implementing advanced analytics strategies.
Strong programming skills in Python/R and SQL
Experience with data visualization tools such as Tableau, Power BI, Sigma, etc.
Strong problem solving skills and ability to work with large, complex datasets, and extensive knowledge of using statistical modeling and machine learning algorithms to develop predictive models and insights.
Excellent communication and collaboration skills
Be comfortable working in a fast-paced startup environment and adjust approaches to meet evolving business needs with feedback.
Benefits:
Health & Wellness: 100% coverage for medical, dental, and vision plans - for employee and dependents + on demand health care concierge
HSA, FSA, & DCFSA: Pre-tax savings plans for healthcare and dependent care
100% paid short and long term disability plus life + AD&D benefits
Learning & Development: $500 annually towards professional development opportunities + $250 annually towards personal development opportunities
Flexible Time Off: Flexible vacation policy for strong, fully charged batteries
16 Weeks Paid Parental Leave: An inclusive policy to ensure you have time with your newborn, newly adopted, or foster child
Work Remotely: Flexible hours and work from home + $1,000 annually to cover necessary business related items for your home office
Charitable Giving Program: Up to $500 match for qualified charities
401K: Reach your financial goals while reducing your taxes
This role will receive a competitive base salary, benefits, and equity. The applicable salary range for each US-based role is based on where the employee works and is aligned to one of 3 tiers based on the cost of labor for that geographic area. The expected salary ranges for this role are set forth below.
Tier 1: $161,500 - $199,500
Tier 2: $145,350 - $179,550
Tier 3: $129,200 - $159,600
You can view which tier applies to where you plan to work here. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.
Please continue to apply if you are unsure that you fit into our compensation structure.
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Data Science Summer Intern Undergrad | Proofpoint |
It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.The RoleDo you have a passion for applying analytical reasoning to real-world problems? Do you have a strong mathematical background and understand statistics fundamentals? Are you fascinated by cybersecurity and want to prevent highly sophisticated attacks? If so, Proofpoint is looking for a bright and enthusiastic Data Science intern like you to join the Security Analytics, Intelligence & Learning (SAIL) team. The SAIL applied research team is responsible for converting data into business value through machine learning detection systems and data-driven decision making. We are a team of Data Scientists and Software Engineers who love keeping up with the latest ML research, creating a creative and supportive workplace environment, and hosting the occasional board game/trivia event. We work closely with product, engineering, and threat research teams to significantly differentiate our product offerings and delight our customers. As a Data Science Intern on the SAIL team, you will advance business goals with forward looking research. You will work closely with Data Scientists to implement individual projects and learn the day-to-day responsibilities of professional Data Scientists. You will own a summer long deliverable and drive progress with support from your mentor and other SAIL team members. Past projects have included implementing clustering systems, improving metrics calculation systems, and enhancing core detection logic. Job Requirements
Proficiency with Python 3
Proficiency with at least one SQL dialect and CRUD operations
Basic understanding of machine learning methodology and workflow
Basic understanding of machine learning algorithms
Strong problem solving skills
Experience with statistical tests
Experience with classification problems o A desire to learn new skills
Candidate ProfileYou have the ability and interest in working full time (a maximum of 40 hours/week) in our Sunnyvale office or remotely. You are currently pursuing an undergraduate degree and are successfully maintaining an above average GPA. This summer internship is scheduled to run for 11 weeks from June - August 2023..If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Senior Data Scientist Privacy | Ford |
Senior Data Scientist – Privacy (remote)
Dearborn, MI, United States
(Remote)
Trending
Job Description
Are you passionate about data and data privacy?
We are seeking top-tier full-stack Data Science professionals to help to protect customer data from our connected vehicles, through privacy enhancing technologies, analytics, modeling and data strategy.
This role is available to be #remote.
Responsibilities
What you’ll be able to do:
Privacy enhancing technology: Embed these technologies into our connected vehicle data ecosystem to protect customer data privacy while maintaining data utility for connected vehicle experiences.
Influence data strategy: Develop technology solutions and data products that enhance our data ecosystem to be future-proof and agile to policy changes.
Modeling and analytics: Apply statistical modeling methods to assess opportunities and gaps, automate processes and establish measurement in Privacy related areas to support business directions.
Proof-of-concept: Develop end-to-end working proof-of-concept to demonstrate feasibility and validate methodology to stakeholders.
Provide technical leadership: Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establish team wide best practices
Qualifications
The minimum requirements we seek:
Master's degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
5+ years of experience of statistical methods and their accurate application e.g., ANOVA, principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, neural networks, etc.
5+ years of experience with Python, SQL, Cloud (preferably GCP).
2+ years of experience working in a multi-functional, agile product team environment/analytic delivery team.
Our Preferred Requirements:
Experience in privacy enhancing technologies in one or more of differential privacy, secure enclave, federated learning, cryptography and so on.
2+ years of experience with executive presentation preparation and delivery.
Expertise in data science technologies such as Python R, Spark, Hadoop, etc. and cloud platform, such as GCP.
Ability to work under stress, establish priorities and respond with urgency.
Highly credible in organizational, time management, decision making and problem-solving skills.
Familiarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.
Familiarity working with big data to develop scalable, production-ready solutions.
What you will receive in return:
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Apply Now
Job Info
Job Identification
9175
Posting Date
02/28/2023, 03:09 PM
Degree Level
Bachelor's Degree or equivalent
Locations
Dearborn, MI, United States
(Remote)
Remote
Yes
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Actuarial Data Scientist | United Health Group |
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Design, develop, and document advanced data analytic models in support of healthcare industry actuarial product and consulting initiatives Lead the discovery and development of new methods and models using a broad range of data modeling and analysis techniques Build machine learning models for predictive analytics while assuring fairness and equity Provide recommendations and guidance to project leads based on insights gleaned from data Build modeling pipelines to automate the running of analytic models Collaborate and communicate effectively with our broader product teams, while supporting ad-hoc analytics where needed Active role in training, coaching and mentoring staff within methodology and in other functions
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Bachelor’s degree in Computer Science or equivalent experience 4+ years of data analytics experience, or 3 years of such experience plus an advanced (Masters, PhD) degree in a relevant field Experience deploying code in a production environment using Github Advanced proficiency in Python, Scala, or SQL Proven solid written and verbal communication skills and experience interacting with senior management Proven solid leadership skills and demonstrated ability to lead product initiatives in order to achieve team goals and outcomes Proven well versed working in Agile methodology / Kanban (End to End managing the user stories within the sprint)
Preferred Requirements:
Masters or PhD degree in Statistics, Data Science, Computer Science, Mathematics, or a related field ASA or FSA actuarial designation, or progress towards completion of ASA designation Experience with the Snowflake platform and enterprise-level applications Experience deploying data science models in a production setting Experience working on large scale, multiple team projects Automate test cases for development experience Unix Scripting experience Experience and/or exposure in dealing with health care claims experience (i.e. understanding of costs, expected claims, diagnosis codes, procedure codes) Experience working with Data Science/Machine Learning libraries such as h2o, TensorFlow, caret, Keras, scikit-learn, etc. Experience building robust data pipelines using a variety of data sources, programming languages, and toolsets Hands-on experience in one or more big data ecosystem products/languages such as Spark Experience in applying optimization procedures (gradient, genetic, ant colony) to a large data set Acquired knowledge of healthcare pricing of groups sized 51+ Advanced proficiency in PySpark using Azure Cloud Advanced proficiency in model presentations using Tableau / Power BI Proven track record of delivering robust and scalable analytical applications in a cloud environment
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Healthcare Data Scientist | United Health Group |
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Optum Infusion Services is seeking a Healthcare Data Scientist with extensive experience in predictive modeling, statistical modeling, and machine learning. This role will lead Optum Infusion’s data science projects and be responsible for developing and implementing advanced analytical solutions to improve patient outcomes, optimize infusion operations, and identify growth opportunities.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Develop and lead the implementation of predictive models using advanced statistical modeling, machine learning, and deep learning techniques to improve patient outcomes, operations, and organizational growth Collaborate with cross-functional teams, including clinicians, researchers, and business stakeholders, to design and deliver data-driven solutions that address complex infusion therapy challenges Lead the development of innovative machine learning algorithms that solve complex problems in the infusion industry, including natural language processing and deep learning models Oversee the data science team’s data preparation, cleansing, and feature engineering activities to ensure data quality and relevance for predictive modeling activities Evaluate models’ performance, identify improvement areas, and lead efforts to optimize model accuracy and effectiveness Stay up-to-date with the latest advances in predictive modeling, statistical modeling, and machine learning techniques and recommend and implement new approaches to address evolving infusion therapy challenges Ensure that data governance, privacy, and security policies and regulations are followed throughout the data science process
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Master’s degree in Computer Science, Data Science, Statistics, or a related field 7+ years of experience in predictive modeling, statistical modeling, and machine learning in a healthcare-related field Experience leading data science teams, including the ability to mentor and develop junior data scientists Proven experience developing and implementing predictive models using advanced analytical techniques such as logistic regression, random forest, neural networks, and deep learning Experience with healthcare or pharmacy industry regulations, policies, and best practices Expertise in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid programming skills in Python, R, or similar languages Proven excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders Demonstrated robust problem-solving skills, with the ability to identify and solve complex problems using advanced analytical techniques
Preferred Qualification:
A Ph.D. in Computer Science, Data Science, Statistics, or a related field
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Principal Data Scientist Member Experience | Devoted Health |
At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Principal Data Scientist will serve as a crucial partner to our Member-focused teams, using data to answer important questions about the effectiveness of these teams and the impact of their communication on members. This individual will build robust data pipelines that underpin our products and operations; and foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.In this role, you will power the insights that enable several business teams to intelligently engage with our members, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to our members’ experience and drive key initiatives. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as forecasting and experimental design.Healthcare experience or previous experience driving Data Science initiatives is a PLUS.Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
7+ years of individual technical contributor experience
4+ years of working on Data Science initiatives for a member-focused team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
#LI-BC1#LI-RemoteSalary range: $161,000 - $180,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus or commission eligibility for all roles
Parental leave program
401K program
And more....
The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Staff Data Scientist Utilization Management | Devoted Health |
At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Staff Data Scientist will serve as a crucial partner to the Utilization Management business area, using data to help the operations teams achieve excellence in operations. This individual will build robust data pipelines that underpin our products and operations. They will foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company. This is a high profile role that is critical to Devoted Health’s success.In this role, you will become an expert in utilization management operations data and build pipelines that improve accuracy of key utilization metrics that drive our business. You will serve as a key advisor on critical utilization and medical management trends and patterns that help to power all areas of our business including Provider Performance, Stars, Clinical, and Medical Economics. You will support the organization in measuring the impact and effectiveness of utilization management programs and partner with the team to scale critical workflows as we grow. You will support the team on improving data capture to enable the utilization management team and provider partners to better care for our members. Critical to our success, you will partner with compliance ensuring the data that is generated from the workflows is compliant with our CMS guidelines and you will identify opportunities within the workflow to improve the operation.Experience with utilization management or medical economics is a PLUS. Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
3+ years of working on Data Science initiatives in clinical or medical economics
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
#LI-BC1#LI-RemoteSalary range: $130,000 - $156,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus or commission eligibility for all roles
Parental leave program
401K program
And more....
*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Principal Data Scientist Compliance And Claims | Devoted Health |
At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Principal Data Scientist will serve as a crucial partner to many business areas, ensuring visibility into and measurement of all elements of Devoted’s health plan compliance reporting and program effectiveness; including partnering with our claim operations team on ongoing oversight and performance.This individual will partner with Product Managers and Software Engineers to ensure core audit concepts are appropriately represented in Devoted’s proprietary software. This individual will build robust data pipelines that underpin our operations and audits of them. They will foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. They will partner with business leads and our delegated operations team to measure and improve program effectiveness. This is a high profile role that is critical to Devoted Health’s success.This role will be the technical lead in audits of our business. This individual will become a SME in the technical specifications of CMS audits, collaborate across business areas to ensure a consistent technical implementation of specifications, and represent Devoted in audits.Experience in highly regulated areas with extensive audits is a big PLUS. Responsibilities will include:
Serve as the technical lead of audits, ensuring consistent implementation of audit concepts across the business and helping build a robust tool set for data extraction and submission
Working closely with key business stakeholders to provide visibility and insight in a rapid, iterative, and collaborative process
Designing and developing comprehensive monitoring of performance and supplemental benefit operations across compliance, finance, member experience, and ops SLAs of delegated entities
Partnering with business leads to Identify patterns and improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
7+ years of individual technical contributor experience
5+ years of working on Data Science initiatives
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and leading technical solutions to support data extraction and submission in audits
Knowledge of CMS audits is strongly preferred
#LI-BC1#LI-RemoteSalary range: $161,000 - $180,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus or commission eligibility for all roles
Parental leave program
401K program
And more....
*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Staff Data Scientist Pricing Experimentation | Coinbase |
At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to ourmission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
Specifically, we’re looking for a Staff Data Scientist to join our Retail Trading Team. In this role, you’ll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you’ll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company
What you’ll be doing (ie. job duties):
Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing experiment hypotheses
Design and implement multiple pricing experiments simultaneously and evaluate results to determine the optimal pricing strategy
Explore advanced experiment techniques such as small sample enhancements, Bayesian approaches and apply them successfully for complex experiments
Develop frameworks to facilitate decision-making around metric trade-offs, particularly when they involve multiple organizations
Aggregate learnings to inform the pricing framework, principles, and future decisions
Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives
Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship
What we look for in you (ie. job requirements):
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
PhD in Statistics, Economics or a related field
Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling
Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams
Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders.
Strong attention to detail and ability to work under tight deadlines
Nice to haves:
Experience applying causal inference techniques outside of controlled experiments
Experience applying causal inference techniques outside of controlled experiments
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
ID: P51651
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
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Senior Data Scientist Consumer | Coinbase |
At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to ourmission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
Specifically, we’re looking for a Senior Data Scientist to join our Coinbase One team. CB1 is our new subscriptions offering which provides a wide array of benefits for a fee. As a DS on this team, you’ll build models and frameworks to explore the incrementality of additional benefits, devise testing frameworks to understand cannibalization, help determine the rollout strategy for international expansion, among other impactful and exciting projects.
What you’ll be doing (ie. job duties):
Devise testing plan to better understand key product metrics and inform expansion strategy.
Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.
Build new analytics and machine learning models that improve both our insights and the product directly.
Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.
Initiate, develop and maintain data pipelines and data models with outstanding craftsmanship.
What we look for in you (ie. job requirements):
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Understanding of statistical concepts and experience in applying them.
Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
Experience in data analyses using SQL.
Experience in at least one programming language (preferably Python).
Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
BA / BS degree or equivalent practical experience. 5+ years relevant experience, or or PhD degree in related fields + 2 years.
Nice to haves:
Previous experience working with subscriptions products is a plus.
Domain experience in product, marketing, growth, and/or other business analytics areas.
Job #: P51409
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
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Data Scientist Full Time Contractor | Varsity Tutors |
Varsity Tutors, a Nerdy company, is looking for a Data Scientist based in Brazil with mastery in analytics, statistics and machine learning to join our team. This individual in this role will partner with product and engineering teams to discover insights and develop algorithmic solutions that support the personalization of live learning experiences at scale. The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications:
Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Fluent in English
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits:
Competitive Pay (USD)
Fully Remote Position
Work for a leading U.S.-based learning technology company
A once-in-a-lifetime opportunity to help transform how the world learns!
A fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)
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Senior Data Scientist Marketing Science | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
About the Team
The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data. We partner with marketing on strategy and positioning, and we manage the announcement of product launches, updates, and major initiatives. It's our job to maximize Scribds potential by delighting our readers and helping our company grow. Scribd is seeking a senior data scientist to develop and implement data-driven strategies to optimize our paid marketing campaigns.
About You
You are a curious person who is highly analytical, loves solving ambiguous business problems through exploratory analysis. You have a growth mentality and are excited by a fast paced environment. You have great business intuition that helps you create actionable insights, focusing on user experience, impact, and learning from data.
You Will:
• You will be a key player in partnering with paid marketing stakeholders to understand, prioritize, design and marketing spend optimizations.
• You'll be the driving force behind the data-driven decision-making process, helping shape our marketing strategy.
• You'll have frequent communication with stakeholders and leadership on how we're progressing against our goals, learnings we have, risks we foresee, and where we need support from the organization.
• You will communicate complex statistical concepts and insights to non-technical stakeholders.
• You'll be responsible for developing and maintaining models that will help forecast and optimize paid marketing performance.
• You'll be working on exciting projects such as building customer LTV models, mixed media modeling, optimizing channel investments, and implementing incrementality measurement.
• You'll be providing support in media strategy, measurement, and optimization to help achieve our marketing goals.
You Have:
• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in a data science role.
• Experience with marketing research and statistical modeling (e.g., bayesian methods, causal inference, regression modeling, classification models, Markov chains, forecasting).
• Experience with conducting quantitative analyses and research.
• Proficient in programming languages such as Python and R.
• Expert in SQL.
• Experience with data visualization tools like Looker, Tableau or Power BI.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.
• Plus if you have experience working in paid marketing.
• Plus if you have experience with Looker and LookML.
At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $123,500 [minimum salary in our lowest geographic market within California] to $200,250 [maximum salary in our highest geographic market within California].
Outside of California, the reasonably expected salary range is between $102,000 [minimum salary in our lowest US geographic market outside of California] to $190,250 [maximum salary in our highest US geographic market outside of California].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
#LI-Remote
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Senior Data Scientist | Betterhelp |
Who are we and why should you join us?BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service – providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We seriously invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.What are we looking for?BetterHelp is looking for a Senior Data Scientist to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus on therapist growth, retention, and quality. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis, both to support product improvements and business decisions.What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products. Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? You will NOT worry about funding. We have startup DNA, but we're fully backed and funded by our parent company, Teladoc Health. You will NOT be confined to your "job". We believe in nurturing employees’ interests and passions – even if some of them lie outside of your core responsibilities. You will NOT be bogged down by office politics, egos, or bad attitudes. Only positive, pleasure-to-work-with people are allowed here! You will NOT get burned out. We work hard, but we also believe in maintaining sustainable work/life balance. Seriously. You will NOT have to wonder why you’re doing the work you’re doing. Our day-to-day operations translate into people getting the help they need. Can I work remotely?Yes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to six times per year to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel. BSc/MA/MSc in a quantitative discipline such as Statistics, Math, Economics, or Engineering At least 5-8 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets Expertise in statistics, especially as it relates to hypothesis testing and experiment design Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data Experience building predictive models and causal inference models Experience analyzing large and complex data sets to drive business insights and decisions Expertise in using tools like R and Python for data analysis Proven success supporting or making business decisions based on your data analysis Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences Advanced experience with SQL Competitive salary & equity compensation Excellent health, dental, and vision coverage 401k benefits with employer matching contribution Unrivaled perks program (including free therapy, UberEats, and more) Remote work with regular in-person bonding experiences sponsored by the company Office in the heart of downtown Mountain View, a three-minute walk from Caltrain Commuter benefits, FSA accounts, and Employee Stock Purchase Programs The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $150,000- $200,000. In addition to the base salary, this position is eligible for a performance bonus, RSUs, and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2023. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
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Data Scientist | Betterhelp |
Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service – providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.As a Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We seriously invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for?BetterHelp is looking for a Data Scientist to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus on therapist growth, retention, and quality. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis, both to support product improvements and business decisions.What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products. Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? You will NOT worry about funding. We have startup DNA, but we're fully backed and funded by our parent company, Teladoc Health. You will NOT be confined to your "job". We believe in nurturing employees’ interests and passions – even if some of them lie outside of your core responsibilities. You will NOT be bogged down by office politics, egos, or bad attitudes. Only positive, pleasure-to-work-with people are allowed here! You will NOT get burned out. We work hard, but we also believe in maintaining sustainable work/life balance. Seriously. You will NOT have to wonder why you’re doing the work you’re doing. Our day-to-day operations translate into people getting the help they need. Can I work remotely?Yes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to six times per year to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel. BSc/MA in a quantitative discipline such as Statistics, Math, Economics, or Engineering At least 2-4 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets Expertise in statistics, especially as it relates to hypothesis testing and experiment design Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data Experience building predictive models and causal inference models Experience analyzing large and complex data sets to drive business insights and decisions Expertise in using tools like R and Python for data analysis Proven success supporting or making business decisions based on your data analysis Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences. Advanced experience with SQL Bonus (Great to have but not required)Experience analyzing two-sided marketplaces Experience with B2C, marketplace products Experience with BI tools like Tableau and Looker Competitive salary & equity compensation Excellent health, dental, and vision coverage 401k benefits with employer matching contribution Unrivaled perks program (including free therapy, UberEats, and more) Remote work with regular in-person bonding experiences sponsored by the company Office in the heart of downtown Mountain View, a three-minute walk from Caltrain Commuter benefits, FSA accounts, and Employee Stock Purchase Programs The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $90,000 - $160,000. In addition to the base salary, this position is eligible for a performance bonus, RSUs, and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2023. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
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Senior Data Scientist Modeler | Ebanx |
EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers.
From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible.
We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together?
We are seeking a talented Senior Data Scientist to join our team of excellence in Machine Learning solutions. The ideal candidate will be responsible for driving complex and impactful projects within the company, providing insights, and leading strategic Data Science initiatives for the creation, maintenance, and continuous improvement of our products. As a Senior Data Scientist, you will play a crucial role in discovering business opportunities, developing advanced predictive models, and implementing innovative solutions that ensure our superiority in the payments market. Initially, the candidate will work on solutions such as fraud prevention platforms, intelligent payment flow routers, anomaly detectors, among others.
Responsibilities:
Lead projects involving analysis of structured and unstructured data, from identifying requirements to final delivery, ensuring quality and accuracy of results.
Collect, clean, and transform large volumes of data into suitable formats for analysis.
Build and maintain machine learning models relevant to the payments industry, such as real-time transactional models, anomaly detection, routing optimization, and churn prediction.
Collaborate closely with developers and core business areas (fraud prevention, finance, commercial, products, and marketing) to define business problems and develop data-driven solutions.
Propose new projects, calculate their business value, and collaborate as a cooperative team player, establishing strong relationships with colleagues.
Document all developed code thoroughly.
Work on the operation and maintenance of our finished products and those in the value-generation phase, acting as an interface between our products and internal clients, welcoming their demands with a positive attitude and respect.
Train new members and career-transitioning collaborators.
Main requirements for this position:
Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.
Relevant work experience with core compute and storage cloud services, preferably AWS.
Previous experience in designing and building supervised machine learning models using Random Forests, Boosting, XGBoost, SVM, or Deep Learning. Some experience with at least one of the main libraries/frameworks like Sklearn, PyTorch, and TensorFlow.
Understanding of the trade-offs and implementation differences between batch and streaming processing.
Relevant work experience with AWS tools such as EMR, SageMaker, Lambda Function, Athena, DynamoDB, Sagemaker Feature Store, ElastiCache, and S3.
At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.
Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.
Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.
Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.
EBANX offers:
A challenging environment, with opportunities to grow;
Casual office and flexible dress code;
Spanish, English and Portuguese classes;
WAVES - Program of goals and results (variable compensation);
EBANX Play - Wellness (Gympass, e-Sports, SESC );
Semi flexible hours (8 hours a day - Monday to Friday);
Meal Allowance;
Transportation voucher (if needed);
EBANX Education: scholarship;
EBANX Skills: budget for workshops and courses;
EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary.
EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers;
Life Insurance: Life Insurance 100% paid by EBANX
Hello ebanker: psychology, finance and legal orientation.
Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!
Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.
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Senior Data Scientist Mlops | Ebanx |
EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers.
From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible.
We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together?
We are seeking a talented Senior Data Scientist to join our team of excellence in Machine Learning solutions. The ideal candidate will be responsible for driving complex and impactful projects within the company, providing insights, and leading strategic Data Science initiatives for the creation, maintenance, and continuous improvement of our products. As a Senior Data Scientist, you will play a crucial role in discovering business opportunities, developing advanced predictive models, and implementing innovative solutions that ensure our superiority in the payments market. Initially, the candidate will work on solutions such as fraud prevention platforms, intelligent payment flow routers, anomaly detectors, among others.
Responsibilities:
Design, build, and maintain scalable machine learning infrastructure, including data pipelines, model deployment, and monitoring systems.
Collaborate with data scientists and ML engineers to understand their needs and implement best practices for machine learning workflows and lifecycle management.
Establish and enforce MLOps standards, guidelines, and methodologies across the organization.
Evaluate and select appropriate tools and technologies to support end-to-end ML development and deployment processes.
Troubleshoot and resolve production issues related to machine learning models and infrastructure.
Optimize ML infrastructure for performance, scalability, and cost-efficiency.
Monitor ML model performance and proactively identify potential issues or areas for improvement.
Continuously research and stay current with the latest trends and best practices in MLOps, sharing knowledge with the team.
Facilitate cross-functional communication and collaboration to ensure smooth integration of ML solutions with existing systems.
Mentor junior team members, providing guidance and support for their professional growth in MLOps.
Main requirements for this position:
Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.
Relevant work experience with core compute and storage cloud services, preferably AWS.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in building and maintaining data pipelines and ETL processes, preferably using tools like Apache Airflow, Step Functions and so on.
Strong understanding of software engineering best practices, including version control, code reviews, and CI/CD.
Hands-on experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes).
At least two and a half years of working experience with ML model deployment strategies, monitoring, and lifecycle management.
At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.
Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.
Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.
Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.
EBANX offers:
A challenging environment, with opportunities to grow;
Casual office and flexible dress code;
Spanish, English and Portuguese classes;
WAVES - Program of goals and results (variable compensation);
EBANX Play - Wellness (Gympass, e-Sports, SESC );
Semi flexible hours (8 hours a day - Monday to Friday);
Meal Allowance;
Transportation voucher (if needed);
EBANX Education: scholarship;
EBANX Skills: budget for workshops and courses;
EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary.
EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers;
Life Insurance: Life Insurance 100% paid by EBANX
Hello ebanker: psychology, finance and legal orientation.
Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!
Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.
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Senior Data Scientist | Veeva Systems 4974Bb66 508A 4142 A47B 9934C7105E65 |
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your analysis will shape the product roadmap for a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.
What You'll Do
Adopt the latest technologies and trends in NLP to your platform
Experience with training, fine-tuning, and serving Large Language Models
Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings
Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation
Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production
Requirements
4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques
Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
Familiarity with large-scale data processing and analysis, preferably within the medical domain
Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX)
Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script
Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Background in Medical NLP
Experience in the life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade Development Skills
Leadership skills and a solid network to help in hiring and growing the team
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteGermany
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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Senior Data Scientist | Ocean Media |
Job description
The Senior Data Scientist will work integrally with the analytics and development team to develop algorithms for the purpose of extracting and leveraging insights from data to improve accuracy of outputs and speed of optimization. The Data Scientist will be an integral member of the core team charged with developing programs and tools that derive actionable insights and identify opportunities. He/She will be relied upon for thought leadership and viewpoints rooted in the principles of data science.
Essential duties and responsibilities
· Build and develop intellectual property through the development of algorithms using machine learning approaches to data analysis
· Apply advanced data analytics and machine learning techniques to solve challenging problems
· Identify patterns and trends from large, high-dimensional datasets
· Actively identifies opportunities to gather performance insights from available data and proactively pursues opportunities to leverage secondary data and resources necessary to develop and enhance predictive models
· Assist in the creation and implementation of analytics platforms and programs
· Follows all company health and safety procedures
· Performs other related duties as required or assigned
Education and Experience
Education
Advanced degree (M.S. or Ph.D) in Applied Statistics, Machine Learning, or Applied Mathematics
Experience
Minimum 5-10 years related experience required
Specific knowledge required
The Data Scientist will demonstrate:
· Exceptional understanding and ability to apply quantitative statistical methods of analysis to solve complex business and marketing challenges
· Extensive knowledge of econometric and/or statistical modeling for the purpose of building predictive models
· Exceptional knowledge and experience in advanced statistical computation using statistical software packages
· Prior experience applying machine learning algorithms at scale in products
· Knowledge and experience in modern machine learning techniques
· Strong attention to detail with the ability to scrutinize large data sets for data integrity and effectively identify and treat outliers and data anomalies
· Strong ability to analyze and interpret raw data and make sound recommendations to senior executive teams and clients
· Familiarity with Tableau and/or DOMO visual reporting platforms a plus
· Strong understanding of SQL a plus
· Software engineering experience and familiarity with one or more of the following: C#, Java, Python, a plus
Ocean Media Perks:
Competitive salary and annual performance bonus
Work from anywhere in the US: At Home, In Office, or a mix of both
18 Paid company holidays and 10+ Paid Summer/Fall Fridays
Paid Vacation and Sick Leave for all new employees
Baby bonding benefit
Annual all agency retreat, as well as regional team building activities
Subsidized medical benefits
Fun thematic parties for employees
Work from home and continuing education re-imbursements available
Snacks, drinks, and catered lunches in the office
Compensation Range: $150-$200k/year. This is the pay range Ocean Media reasonably expects it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on level of experience, relevant skills, professional certifications, market pay, and demand for the role. Ocean Media reserves the right to modify this pay range at any time.
EEO/Minorities/Females/Disabled/Veterans
Back to Careers
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Data Scientist | Overstock |
We Are Overstock:At Overstock.com, we believe that everyone should “Be You!”. Overstock is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.This position is eligible for remote work. Currently we can hire employees in the following states: Arizona, California, Connecticut, Florida, Idaho, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming. This role will have occasional on site expectations.Job DescriptionThe data science group at Overstock tackles some of the hardest analytical problems facing our multifaceted, multibillion dollar business.The team works with large data sets to give product guidance, detect anomalies, forecast, and predict. This requires an understanding of not just strong mathematical and technical foundations, but also business acumen and communication skills to drive value.A data scientist is somebody who can look at a complicated technical problem, figure out the useful questions, do what is necessary to get the answers, and then implement solutions based upon those answers. A great data scientist is curious about learning and understanding as much about the business as he or she can, can direct that curiosity towards insights that drive major business improvements, and can communicate those insights effectively to anybody in the company who could benefit from them.Job Responsibilities
Gather, clean, report, and interpret data rapidly and thoughtfully. Ingest large volumes of data, identify the critical signal in all that information, and then act on that signal to drive millions in growth or savings.
Perform ad hoc analyses using statistics, machine learning, and data mining techniques.
Partner with product, engineering, and business teams to solve problems and identify opportunities.
Perform analysis and build models to inform prioritization and planning of the product roadmap.
Design and analyze experiments to generate actionable outcomes.
Perform self-directed ad-hoc analysis to identify drivers of business outcomes.
Report findings, recommendations, and conclusions resulting from analysis. The more people understand an insight, the more useful it is. Your insights can make a huge difference at Overstock, but only if they're understood.
Construct informative and insightful visualizations. A good visualization can be the difference between confusion and comprehension.
ETL and analysis of large-scale data using SQL, Hadoop, and related tools.
Build tools that enable other teams to perform and understand analytics.
Perform other duties as required and assigned by manager and upper management.
Follow legal policies as directed.
Job Requirements
2-4 years relevant work experience
Strong intellectual curiosity combined with a knack for recognizing correlations, trends, and statistical irregularities.
Strong understanding of foundational statistical concepts and methods including hypothesis testing.
Proficient with SQL and relational databases.
Familiarity with statistical data analysis tools (Python, R, etc.).
Exposure to Big Data technologies (e.g. Hadoop).
Experience with regression and classification modeling.
Ability to create clear, informative data visualizations.
Preferred
1+ years relevant experience.
Familiarity with Online and Digital Marketing as well as Direct Marketing.
Interpretation of and exposure to the development of financial forecasts.
Refined presentation skills and story development.
Experience with semi-structured and unstructured data.
Experience working with a product or business team to identify valuable opportunities and executing on them.
§ Familiarity with one or more of anomaly detection, optimization, causal inference, clustering techniques.
SkillsSQL, Python/R, Bi tools, Microsoft Excel, and statistical analysis methodsEducationAn undergraduate degree in Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Economics, other related STEM fields or equivalent work experience is preferred.Master’s degree preferred.Base Pay Range:$ 88,000.00 - $110,000.00 per yearWho We Are:We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.
What We Offer:
401k (6% match)
Flexible Schedules
Onsite Health Clinic
Tuition Reimbursement, Leadership Development Program, & Mentorship Program
Onsite Fitness Center
Overstock Women's Network (OWN)
And More…
*Benefits vary based on position, tenure, location, and employee electionPhysical Requirements:This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.Back to Overstock Careers
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Vp Data | Gofundme |
Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for a VP of Data with a passion for data insights, data engineering and a relentless focus on execution. In this role you will lead our Data Insights and Data Engineering teams and bring the analytical rigor required to solve complex, ambiguous, and high-visibility business challenges to drive user growth, engagement, and user satisfaction with our platform. You and your team will work cross-functionally with senior leaders from research, product, design, development, marketing, and other teams to help build world-class products by making strategic recommendations via investigative deep-dives and hypothesis-driven insights. You and your team will be responsible for building a world class data platform that unlocks impactful insights that drive customer success and the growth of our business.
You will be a good fit if you enjoy digging deep into data, excel in problem-solving, mobilizing execution through cross-functional collaboration and have demonstrated success in managing complex data challenges. This strategic role will report directly to the CFO and is located in the Western part of the US.
The Job…
You will manage the structure, priorities, development, and operations of a team of Data Scientists, Business Intelligence Analysts and Data Engineers. Additionally, you’ll be tasked with enabling the broader organization to best leverage our data team and tools.
You and your team will answer a wide range of tactical and strategic questions about our users and overall business performance. You’ll work closely with leaders across the organization to proactively identify and scope their business intelligence and data analysis needs, provide recommendations on the best metrics to measure and watch, and turn data into critical insights that can be used to make sound business decisions.
Coach and mentor a group of team members on day-to-day delivery
In partnership with our data engineering team, you will play a major role in structuring the people, processes, and data structure we need to maximize our data and analytics capabilities.
Identify key metrics and make recommendations that drive decision-making and business prioritization
Define and cultivate best practices in analytics instrumentation and experimentation
Analyze consumer product performance and health, triage issues, and provide recommendations on the best course solution and optimization.
Lead the Data Engineering team and provide recommendations on data pipeline requirements to enable feature tracking and resolve complex data and tracking issues
Partner with the executive team and key leaders across product, engineering, marketing, sales, communications, customer care, and business operations to derive actionable insight from the data to help our users be even more successful on our platform.
You…
15+ years of professional experience, including data science, analytics, business intelligence, or data engineering. Proven track record in building and managing high-performing data science, data engineering and analytics teams. B.S. in a quantitative field; advanced degrees preferred.
Will lead a Data Science, Business Intelligence and Data Engineering teams and your technical expertise makes you a valuable sounding board and mentor to the current team and future hires. Pride yourself on being a servant leader and have extensive experience as a people manager, coach, and mentor.
Bring a wealth of experience and institutional knowledge from consumer internet businesses.
Experience with data science programming languages such as SQL, R, and/or Python plus data visualization tools such as Looker, and comfortable working with large, complex, and potentially messy datasets.
Understand statistics/machine learning (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
Exceptional communication skills, both written and verbal. Ability to influence cross-functional teams by building successful relationships and partnering across the organizational structure.
Seamlessly package key takeaways from analyses and communicate insights to all levels of the organization. You can easily switch between technical discussions with team members to presenting high-level insights to leadership audiences (and everything in between),
Measured, clear, and concise communication & presentation skills.
Strong project management skills and experience
Action-oriented and solution-driven with the ability to thrive in a fast pace environment
Manage highly confidential information with professionalism and unquestionable integrity
Passion for understanding our customers and their behavior
Excited about GoFundMe's mission. Ethics, Values, and Inclusion
Why you’ll love it here...
Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
A variety of mental and wellness programs to support employees
Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The total annual salary for this full-time position is $260,000 - $340,000 + bonus + equity + benefits. As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.
Learn more about GoFundMe:
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality
|
Senior Decision Scientist Core Data | Ibotta |
Ibotta is seeking a Senior Decision Scientist, Core Data & Analytics to join our high performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast growing Core Data & Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives.
As a Senior Decision Scientist, you’ll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You’ll be able to drive initiatives forward, being responsible for project completion. In addition, you will be able to grow organizational and leadership skills by working cross functionally with stakeholders, creating processes, building out robust roadmaps, and leading other team members working on the projects.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Drive consistency through the org by providing large and complex datasets to support data analysis and business decision-makingAnalyze large datasets to extract actionable insights to inform business decisions and understand consumer behaviorBring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our productsFormulate solutions addressing major business challenges and innovation opportunitiesContribute to creating best practices and efficient processes for the teamInitiate and drive collaboration with stakeholders to define project scope, responsibilities, and expectationsWork closely with our Instructional Design team to create curriculum, documentation, and training materials for the products you ownDetermine, with the assistance of our Analytics Engineering team, how to implement anomaly detection, data lineage, and other best practices on your deliverablesEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
5+ years of experience in an analytical functionBachelor’s degree in computer science, engineering, analytics or related field requiredDemonstrated analytical ability, conceptual thinking, and problem-solving skillsStrong written and verbal communication skills, able to distill complex analytical solutions into actionable insightsExcellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and businessAbility to translate ambiguous business questions into structured data problemsExcels in a fast-paced environment with the capability to prioritize effectivelyExpert using modern data analysis tools (SQL, Python, R, etc.)Familiar with data visualizations tools such as Looker and Mode
About Us:
Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity.Base compensation range: $100,000 - $120,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote
#BI-Hybrid
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Decision Scientist Core Data | Ibotta |
Ibotta is seeking a Decision Scientist, Core Data & Analytics to join our high-performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast-growing Core Data & Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives.
As a Decision Scientist, you’ll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You’ll be able to drive initiatives forward, being responsible for project completion. In addition, you'll also be able to grow organizational and leadership skills by contributing to team and company best practices while learning from technology leaders who want you to be successful.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Analyze large datasets to extract actionable insights to inform business decisions and understand consumer behavior to support the decision-making processFormulate solutions addressing major business challenges and innovation opportunitiesDevelop a deep understanding of Ibotta's data ecosystem and analytics toolsBring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our productsContribute to creating best practices and efficient processes for the teamInitiate and drive collaboration with stakeholders and cross-functional teams to define project scope, responsibilities, and expectationsBuild and maintain dashboards, reports, and other analytics deliverablesWork closely with our Instructional Design team to create curriculum, documentation, and training materials for the products you ownEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
3+ years of experience in an analytical functionBachelor’s degree in computer science, engineering, analytics, or a related field requiredDemonstrated analytical ability, conceptual thinking, and problem-solving skillsStrong written and verbal communication skills, able to distill complex analytical solutions into actionable insightsExcellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and businessAbility to translate ambiguous business questions into structured data problemsExcels in a fast-paced environment with the capability to prioritize effectivelyExpert using modern data analysis tools (SQL, Python, R, etc.)Experience in building visualizations using business intelligence tools such as Looker and Mode
About Us:
Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity.Base compensation range: $80,000 - $100,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote
#BI-Hybrid
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Data Scientist Forecasting Canada | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a strong Data Scientist with statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Director Of Data Science Analytics | Mynd |
About Mynd:
Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.
Mynd is determined to overhaul that paradigm.
At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to buy real estate in their geographic area, or have been priced out of competitive big city housing markets.
With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent remotely.
Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, The New York Times, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and recently announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country.
Join us!
About this Role:
As the Director of Data Science and Analytics at Mynd, you will be at the forefront of driving the company's growth and success. Your role is critical in developing and operating innovative data science technologies that leverage analytics, statistics, and machine learning to drive product development and inform business decision-making at scale.
Mynd operates as a complex 4-sided marketplace, balancing value creation and extraction between four important stakeholders: property investors, residents, technicians, and property managers. Your contribution in this area will be essential, as you bring your expertise to the table and help create a win-win situation for all parties involved.
Your ownership in this role will be vast and rewarding. You will have the opportunity to support business analytics, design experiments for product development, build internal marketplaces, and develop production machine learning models. The impact of your work will be felt across the organization and beyond as you help Mynd continue to grow and succeed in this dynamic marketplace.
Get ready to roll up your sleeves and make a difference. As the Director of Data Science and Analytics at Mynd, you will have the power to drive innovation, transform the industry, and make a real impact on the lives of people around you. Let's get started!
Responsibilities
Establish a clear vision and mission for the data science department by working closely with senior business, product, and engineering leaders to develop strategic goals and direction for the company's Data Science platforms, as well a create a roadmap of data science projects
Lead the end-to-end planning and execution of all data analytics and science initiatives, ensuring their success and alignment with company goals
Institute best data science practices and grow the technical capabilities of the team to raise the data science functional bar through hiring, mentoring, and supporting the career growth of data team members at varying levels of experience
Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
Define the roadmap of how Generative AI will inform the product roadmap. Inclusive of leveraging external generative AI technology as well as evolving Mynd’s strategy on how to use reinforcement learning from current users to refine models to Mynd use cases
Build a data-driven culture throughout the entire company by serving as a champion for data science and informed decision-making at all levels of the company, as well as making analytical techniques approachable and understandable to non-technical stakeholders
Conceive, develop, implement, and continually improve machine learning projects
Work with cross-functional partners and executives to define and achieve business goals, build data-informed business strategy and roadmaps, and improve the customer experience by leveraging data science, machine learning, and other analytical techniques
Qualifications
Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, mathematics or relevant discipline
7+ years of experience managing Data Science teams
10+ years of experience working in Data Science in Tech companies
Experience working with Product and Engineering teams with data science as en embedded function in the software development process
Proficient in model development using Python and SQL
Talent magnet: Evidence of attracting and hiring top talent from ICs through leadership level
Org change leader: Successful change-management leader with the proven ability to transform/optimize the structure of a data science organization
Process builder: Developed key processes to scale tech organizations (defined leveling rubrics, performance management processes, quality control processes, build/buy decisions, operational excellence)
Preferred Qualifications
Owned Data Science for a platform (consumer, commerce, or B2B) or marketplace
Entrepreneurial technical leader who has experience in a scaled environment (Startup and/or big tech experience)
Experience working in PropTech or regulated environment like FinTech, HealthTech
Experience working in a compliance environment with a focus on PII and AI bias
Experience working with generative AI technologies is a plus
Any offer of employment is conditioned upon the successful completion of a background investigation.
Compensation:
$192,000 - $260,000 annually. The compensation range may be adjusted based on experience and location.
At Mynd, we offer a robust, competitive & unique benefits package:
Unlimited time off
13 Paid holidays
Paid Parental Leave
Cash to purchase your own investment property through our “Project Investor Myndset” program
401k + Match
Wellness, home office, and cell phone subsidies
Volunteer time off
Robust health, dental, vision insurance, and more
Sabbatical program
Eligible to participate in Mynd’s equity program
At Mynd, we encourage all of our team members to:
Be Myndful
Always Be Entrepreneurial
Earn Trust
Play Team First
Be an ‘A’ Player
Think Like An Investor
As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.
#LI-REMOTE
#LI-CC1
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Data Scientist | 605 |
605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for an experienced Data Scientist to help develop solutions, codes and reports which solve the questions most pressing to the TV and media industry. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Data Scientist you will be responsible for: coding, improving methods and efficiencies across the team, developing reports, project management, and cross team collaboration.A Data Scientist’s day-to-day tasks would include: Coding original R scripts as well as optimizing current scripts for the large majority of your day Applying or adapting methods to new problems, and developing new tools as needed Working independently or collaboratively on large and complex data science problems and analyses Leading client projects throughout the duration of their flight and delegating tasks accordingly Communicating with internal stakeholders and clients to develop analytical solutions within client context Working with client/sales teams to build new business opportunities Bachelor's degree in a quantitative field 5+ years experience (or postgraduate degree(s) plus experience) in a comparable field 3+ years of coding and specifically 1+ years R coding Experience writing stable code that can be automated into larger product offerings Solid machine learning and/or statistical skills and intuition Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, and causal inference Intellectual flexibility to adapt existing tools, algorithms, methods to new needs Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc. Experience analyzing large and messy data Strict integrity, able to work with confidential, private, and high-value client information Can balance workload across a variety of different projects over the course of a week Find stable threads to explore within amorphous and changing business problems Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations Preferred Skills: Proficiency with SQL Previous experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala Master's degree in a quantitative field Experience working in analytics in the entertainment industry or in television or digital marketing Experience with the design and analysis of experiments Analysis of high-dimensional time series or event stream data Adapting, implementing, and scaling various machine learning techniques Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote work model with office space in NYC and on Long Island 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences Candidates who meet the qualifications of this role can expect to earn an annual salary of $90,000 to $120,000.
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Senior Data Scientist | Komodo Health |
The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…
Delivered high-value data analytics projects that our existing data products could not cover
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning
What you bring to Komodo Health:
Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling
Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $140,000 to $233,200 plus a competitive bonus and equity package.
#LI-CT1 #LI-REMOTE
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Director Of Data Science | Komodo Health |
The Opportunity at Komodo Health
The Director of Commercial Data Science would partner with the Analytics Consulting team to build the analytic service delivery vision and operating model; gain stakeholder buy-in to the model; scale the team; identify and implement efficiencies for profitability maximization; and lead a team of Data Scientists to execute on the technical delivery aspects of analytic services and measure impact. This is a high growth, high visibility role working with a dynamic and collaborative team of talented analytics practitioners, consultants, and healthcare leaders.
Looking back on your first 12 months at Komodo Health, you will have…
Gained a deep understanding of the anatomy of Komodo, with a focus on data and products.
Incorporated data science expertise to guide modeling techniques for addressing customer needs.
Helped set the strategy and vision as to how we design and deliver analytic solutions.
Led the team by defining and executing data science initiatives that align with overall business strategy and objectives
Collaborated with cross-functional teams including Engineering, Product Management, and Program. Management to provide input on project priorities, project estimates, and risk assessment for roadmapping initiatives.
Excelled in balancing the technical, managerial, and operational aspects of the role.
What you bring to Komodo Health:
Experience managing and developing managers as well as data science teams within a fast-paced environment.
Proficiency in Python and SQL with a passion for automation and efficiency-driven solutions.
Familiarity with large-scale data and computational technologies (e.g. Spark, Snowflake)
Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and familiar with ML software packages.
Deep understanding of statistical modeling and analytics.
Experience collaborating with Product Management, Program Management, and Engineering teams to establish a comprehensive roadmap and long-term vision.
Comfort with complex technical and business problems, with a focus on empowering technical delivery.
Excellent leadership skills with a proven ability to inspire and motivate a team
#LI-CT1 #LI_REMOTE
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Data Scientist | Komodo Health |
The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…
Delivered high-value data analytics projects that our existing data products could not cover
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning
What you bring to Komodo Health:
Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling
Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package.
#LI-CT1 #LI-REMOTE
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Team Lead Sr Data Scientist | Cleerly |
About the Opportunity
Cleerly, Inc. is a technology-based healthcare company whose mission is tocreate digital care pathways to prevent heart attacks. Cleerly, Inc, in Denver, CO is seeking aTeam Lead, Sr. Data Scientist to lead multiple machine learning (ML) research anddevelopment projects.
Job responsibilities and duties include:• Direct the research and development of various prototypes to be developed bythe company for state-of-the-art machine learning models with applications incoronary CT angiography.• Provide subject matter expertise on novel technologies and lead the team in thedevelopment of the next generation of quantitative computer aided diagnosissystems.• Serve as a liaison for our multi-disciplinary, cross-functional Data Science teamsto ensure cohesive research and analysis, as well as to ensure the build of the MLalgorithms and pipeline.• Mentor and coach less experienced colleagues.• Conduct senior-level analyses of the algorithms and prototypes being researchedand developed.• Research new methods of measuring and analyzing large and highly complicateddata sets based on mathematical models and principles.• Build, and/or oversee build of, prototypes for experimentation.• As a senior-level Team Lead, present findings and recommendations internally tocompany heads, as well as externally to groups of clinical experts and otherstakeholders.• Lead the team by both validating and challenging ideas both from technical andproduct point of view to ensure the highest-caliber research and development• Stay abreast of current and novel developments in the field through reading,conferences, and other research opportunities.• Derive mathematical proofs for the machine learning algorithms to support thevalidity and rigorousness of Cleerly's product design.
• Support regulatory activities by providing technical expertise, and reviewingstudy/test-plan design• Develop and manage machine learning operations.
This position will have significant managerial authority over project development andmilestones, but does not hold any personnel management authority
Minimum requirements:
Master’s degree or higher in Mathematics, Statistics, ComputerScience, or a related STEM field of study, plus at least one (1) year of experience in the joboffered or in any relatedposition(s).Qualified candidates must also have demonstrable proficiency, knowledge, experience, orskill with the following (gained through education or employment):1. Experience in deep learning and prototype development in a professional setting.2. Experience with image science, the physics of image formation, and appliedmathematics.3. Experience with large-scale machine learning platforms including PyTorch orTensorFLow.4. Experience in advanced data analytics, including structured and unstructureddata, data mining, and ML techniques.5. Experience with at least one of the following programming languages: Python,Julia, or R.
Less than 5% domestic travel. Work from home benefit is available.
Additional Information:- Job Site: 110 16th Street, Suite 1400 #104, Denver, CO 80202- EOE.- Must be legally authorized to work in the United States without sponsorship
Salary - $130,000 - $150,000
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Senior Data Scientist | Sun Life |
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.Job Description:
Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value
Reporting to the AVP, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.
Sun Life views success in this role in demonstration of these key attributes:
Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.
What will you do?
Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.
Be able to work in cross functional teams to develop an ML/data science product
Be able to break down broader data science development milestones into smaller goals, activities, and a work plan
Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.
Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling
Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders
An active contributing member to the analytics community to help foster and grow the data science community at Sun Life
Champion and support diversity and inclusion
What will you need to succeed?
BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
Proficient in using one or more statistical programming languages (i.e., Python) for data science
Experience with AWS services including SageMaker
Experience with machine learning including supervised and unsupervised models
Demonstrated experience in data transformation & data manipulation
Experience working with Structured vs. Unstructured data
Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Ability to document work and effectively prioritize documentation
Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed
What will be nice to have?
Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
Past experience working in Agile delivery model
Past experience in developing and deploying production grade model in cloud infrastructure
Unique Requirements
The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
What's in it for you?
Remote/ Hybrid Work environment
Competitive salary and bonus structure influenced by market range data
20 days vacation per year and an innovative sabbatical program
A friendly, collaborative and inclusive culture
Being part of our Analytics community, where we share best practices and broaden skill-sets
Flexible Benefits from the day you join to meet the needs of you and your family
Pension, stock and savings programs to help build and enhance your future financial security
Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results. Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to [email protected] Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.Salary Range:80,000/80 000 - 130,400/130 400Job Category:Advanced AnalyticsPosting End Date:28/05/2023
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Senior Data Scientist Enterprise | Opendoor |
About the Team
Since Opendoor first started operating in 2014, we’ve learned a lot about buying, managing, and selling real estate. The Enterprise business unit with Opendoor aims to share our learnings by offering our technology and processes to institutional single-family-home investment partners. The Enterprise team is building a modern platform for transactions, offering a wide range of services such as brokerage and title.
As the first Senior Data Scientist at Opendoor Enterprise Analytics team, you will work on projects that help the future of our Operations, Product, Engineering Design teams – to drive our business forward with recommendations you uncover through data. You will own analytics and models for one of Opendoor Enterprise’s fulfillment products and partner with stakeholders to help shape its direction. The Senior Data Scientist will contribute individual analytics and modeling work, as well as coaching and up leveling the technical bar of the team.
Role Responsibilities:
Build and evolve statistical and machine learning models (e.g. conversion, forecasting, staffing, text mining) that drive business impact
Partner with stakeholders across leadership to improve business outcomes by monitoring business health, planning and executing AB and Quasi experiments, and making data-driven recommendations to help Opendoor Enterprise product and platform scale.
Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
Produce convincing structural, causal and data-driven analyses to falsify ideas or move them forward
Collaborate with Engineering and Product teams to build long-term learning agendas
Clearly and concisely articulate the business impact of your work
Work pragmatically at a high cadence to ship modeling and analytical opportunities, such that we generate high learning throughput
Skills Needed:
Expertise in statistical inference, study design and machine learning modeling
Proficiency in working with complex and fast-evolving data sets
5+ years of industry experience post academia, with advanced degree in a quantitative field
Proficiency in numeric programming (Python and/or R) as well as SQL or any other database languages
Desire to identify, perform, and automate repetitive work to scale the team
System thinking and creativity to solve complex problems by going deep and understand its core drivers
Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations
Bonus Points if:
Proficiency in a relevant modeling or statistics specialization, such as macroeconomic modeling, optimization or causal inference, data engineering
Mentoring: Experience guiding and mentoring other members of the data analytic team
Ability to quickly (1-2 weeks) build proofs of concept and identify the highest-leverage areas to iterate efficiently
Location:
Remote roles in the US are available in all states EXCEPT Hawaii, Alaska, Montana, or any US Territories.
Compensation:
The base salary range for this position in Colorado, Connecticut, Washington, and New Jersey is $$164,000 - $253,000 yr., and in California and New York City is $164,000 - $253,000 yr. Base salary may vary depending on relevant experience, skills, geographic location, and business needs. We offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/
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#LI-AW2
More About Us
To learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.
We Offer the Following Benefits and Perks
• Full medical, dental, and vision with optional 85% coverage for dependents
• Flexible vacation policy
• Generous parental leave
• Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
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Data Science Manager | Mercury |
Data Science Manager
SF, NY, Toronto, Portland, or remote in US/Canada
Full-time
Mercury
In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.
We’re looking for a Data Science Manager who can help us build, support, and develop the team building our analytics engine.
In this role, you’ll be responsible for a team of 5-7 data scientists embedded across product teams, and will critically influence how we invest in and build Mercury’s future. You’ll be early in building a data-informed culture across Mercury so that stakeholders across the company can determine what’s happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:
Build, manage, and develop a team of 5-7 data scientists to help Mercury make better business banking* and product decisions informed by data.Influence analytics culture and rigor across our Core Products (dashboard, cards, etc) by working with different levels, from executives to individual product and operations teams, ranging from deriving insights of our core products to advanced statistical methods for risk and credit underwriting.
You should:
Have 4+ years of experience in a quantitative role, including 1+ years managing a team of quantitative experts (e.g. data scientists, product analysts, machine learning engineers, or financial mathematicians).Be able to partner with business leaders and GMs to ensure that they and their teams have the tools, reporting, and support to consistently make the best data-informed decisions. Proactively provide advanced analytics and insights to leaders that stakeholders may not be seeing.Be opinionated on the ways to most effectively use data to make business and product decisions.Strong knowledge and hands-on experience with data science, machine learning, statistics, financial calculations, or experimentation for commercial applications.
*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust®; Members FDIC.
Our salary ranges are based on paying competitively for our size and industry, and all employees receive salary + equity + benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
The ranges shared are for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced or more senior than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
The salary range for candidates in the US is $205,000–$250,000.
The salary range for candidates in Canada is CAD 182,000–228,000.
Apply NowWhy work at Mercury
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Senior Data Scientist | Cisco Meraki |
When passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. That’s the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!
Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
About the Role
The Data Science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Senior Data Scientist, you will use rigorous quantitative methods to deliver value to the customers and enable data-driven product development. This would be an outstanding fit for an individual who is hands-on, has the ability to work autonomously, and can drive technical efforts building robust AI/ML solutions. If you love to apply your data science skills against massive interconnected datasets with immediate business impact, then this will be the role for you.
What Will You Do
Technically lead AI/ML initiatives with other data scientists through the design, development, and deployment phases of ML oriented product features.
Follow data science methodologies around model selection, training data set sampling strategy, model validation and monitoring.
Develop the technical skills of junior team members by providing hands-on reviews and mentorship.
Partner with the Data Science Infrastructure team through every stage of ML workflow including data ingestion, model building, and model ops.
Collaborate actively with Product Management, Engineering and UX to measure the impact of product launches, including validating behavior tracking, defining success metrics, aligning on experimental approaches and communicating metrics impact.
What Skills You Posses
8+ years of Data Science experience for software products, e.g. networking software, online shopping, financial services etc..
Masters/PhD in Statistics, Operations Research, Applied Mathematics, Computer Science, or a quantitative field preferred
Demonstrated leadership in delivering on high visibility projects with minimal oversight.
Proficiency with Python (or R), SQL, Statistical modeling, AWS tools.
Strong written and oral presentation skills. Able to communicate complex concepts to a variety of audiences
Bonus Points For:
2+ years of data mining experience of large datasets.
1+ years of experience in the Networking industry
We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.
At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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Senior Data Scientist | Comcast |
Job Summary
Who we are
Comcast brings together the best in media and technology to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Enterprise Business Intelligence (EBI) is a multidisciplinary group that owns the lifecycle of data to support cable goals. EBI consists of data engineers who democratize data, visualization experts who build reports, and data analytics subject matter experts that turn data into insights for the business. The Data Science team within EBI builds the end-to-end systems and tools that democratizes machine learning to meet the needs of business by partnering with key internal and external stakeholders.
Job Summary
The Data Scientist is responsible for supporting data science projects from idea generation, stakeholder management, modeling and deployment. A Data Scientist is expected to be a trusted partner to the business and create models with actionable results.
Who does the data scientist work with?
The data science team is composed of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. Data Scientists work with internal EBI teams as well as leads in the marketing, base management, customer experience, network engineering and finance departments.
What are some interesting problems the data scientist will solve?
Data Scientists in EBI work on a wide variety of interesting business questions from subscriber and prospect propensity models, customer segmentation, and real-time decisioning.
Where can you make an Impact?
Success in this role requires a wide range of skills including: technical acumen, stakeholder management, product ownership and collaborative problem solving.
Job Description
Core Responsibilities
Own all or part of the data science solution process:
Resourcing – Work with the Project Management Organization to clearly define project timelines and resources. Manage timelines, identify implications and impacts to leadership.Feature Selection – Partner with EBI Data Stewardship team to define proper data sources for feature selection. Engage the engineering teams to ingest new datasets that are useful for modeling.Solution Development – Use expert knowledge of data science and machine learning to create the best method to solve the business problem. Fit an accurate and actionable solution. Ability to simplify the data science story.Validation – Validate the solution and defend that solution in front of your peers. Explain model validation to a non-technical audience.UAT Testing – Work with the Machine Learning Operations (MLOps) team and stakeholders to perform user acceptance testing of the model. Help determine if the data science solution is solving the business problem.Deployment and Feedback Loop – Work with MLOps team to set up deployment, DQ and monitoring of solutions.
#EBICareers
Core Competencies – Some or all of the following
Data Science and Machine Learning:
Regression (Linear, Logistic, stepwise, etc)Regularization (Ridge Regression, LASSO, Elastic Net)Instance-base algorithms (kNN, Support Vector Machines, etc)Decision Trees (CART, CHAID, etc)Bayesian Algorithms (Naïve, Bayesian Network)Clustering (k-Means, Hierarchical)Neural NetworksDeep LearningDimensionality Reduction (Principal Components)Ensemble algorithms (XGBoost, Random Forest, etc)
Data and Tools:
PythonSQL w/ strong pysparkDatabricksGitDistributed/cloud computing (AWS familiarity or similar)Notebook computing (Jupyter)Data lakes (minio, S3)Data formats (parquet, delta)AutoMLStreaming data sourcesBatch processingREST APIs
Preferred Education Level
Master's degree or higher in Computer Science, Engineering, Operations Research or other quantitative field.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.
Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
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Principal Data Scientist Cnet Group | Red Ventures |
We are seeking a highly skilled Principal Data Scientist with expertise focused on the latest techniques in causal inference and experience applying those within a marketing setting. The ideal candidate will have extensive experience working with large and complex datasets to generate performance and attribution models. They will be responsible for developing and implementing cutting-edge causal inference techniques to help drive business decisions and optimize marketing strategies.
What You'll Do:
Develop and implement state-of-the-art causal inference techniques to measure the impact of marketing campaigns on business outcomes.
Analyze large and complex datasets to identify causal relationships between marketing campaigns and business outcomes.
Build and deploy machine learning models to optimize marketing strategies and improve business outcomes.
Work closely with cross-functional teams including marketing, product, and analytics to develop insights and recommendations based on data analysis.
Communicate findings and insights to key stakeholders through clear and compelling data visualizations and presentations.
Collaborate with data engineers to develop and maintain data pipelines and infrastructure necessary for data analysis and model deployment.
Stay up-to-date with the latest advancements in causal inference techniques and contribute to the development of new methodologies and/or tooling to optimize and drive performance.
What We're Looking For:
A PhD, Masters, or equivalent years of experience in a quantitative field such as statistics, mathematics, computer science, economics or related field.
Extensive experience with various causal inference methods such as double/debiased machine learning, instrumental variables, and synthetic control methods.
Proven experience applying causal inference techniques in a marketing setting.
Strong proficiency in machine learning techniques and programming languages such as Python or R.
Experience deploying ML models using APIs
Strong communication skills and ability to communicate complex data insights to non-technical stakeholders.
Ability to work independently and as part of a cross-functional team in a fast-paced and dynamic environment.
Strong problem-solving skills and ability to think creatively to identify new opportunities for business growth.
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
Compensation:
Cash Compensation Range: $200,000- $250,000*Note actual salary is based on geographic location, qualifications, and experience.
This position is not eligible for visa sponsorship.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
If you are based in California, we encourage you to read this important information for California residents linked here.
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Staff Data Scientist New Initiatives | Dropbox |
Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Staff Data Scientist for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this staff DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution!
Responsibilities
You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach
You will partner closely with leadership across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and Research
You will have the seat at the table for every key decision for AI-first strategies
You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growth
You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale
You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
You will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company
5+ years serving as a AI/ML technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap
Ability to analyze large datasets and have first-hand experiences of owning ML models from A to Z including data collection to deploying the models in the production environment, with a track record of driving directly measurable product or business impact.
Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment design
Previous experiences coaching and mentoring Jr data scientists to scale the team productivity
Total Rewards
For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $210,800 - $248,000 - $285,200.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $189,700 - $223,200 - $256,700.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $168,600 - $198,400 - $228,200.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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Data Scientist Statistician | Guidehouse |
Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:
Our Advanced Analytics & Intelligent Automation team members help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.
What You Will Need:
Ability to obtain a Public Trust clearance.
2+ years of professional experience.
B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Data Science, Data Analytics, or similar quantitative/computational discipline.
Strong understanding of statistical topics such as: linear regression, multivariate regression, logistic regression, time-series analysis, statistical sampling, hypothesis testing, clustering, classification, other machine learning topics, simulation.
Experience in performing statistical analysis and modeling using Python or R.
Proficiency in querying data using SQL.
Proficiency in handling and analyzing data using Excel/Access.
Experience in developing visualizations/dashboards in Tableau/PowerBI/Qlik.
Ability to determine and apply the appropriate analytical methods.
Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members.
What Would Be Nice To Have:
Active Public Trust or Secret Clearance
M.S./M.A. in Statistics, Data Science or other field with concentration in statistical methods.
Prior Federal Government experience, preferably in financial management/accounting role.
Additional Requirements:
The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.
Selected Candidate must be able to work Eastern Standard Hours.
This is an exempt level role that may require more than 40 hours of work per week.
The annual salary range for this position is $72,700.00-$130,900.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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Staff Data Scientist | Stitch Fix |
About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a large company, our growing business is looking for data scientists to join us in revolutionizing retail.
About the Role
This role is for the Growth Algorithms team. We focus on optimizing the experience of prospective and new clients as well as reengaging our existing clients. This role is focused on existing client re-engagement and we are looking for a thought leader to consolidate our existing efforts in this space and work closely with cross functional partners to expand. This role will have a large scope across traditional marketing channels (Email, Facebook, etc.) as well as integrations with the Stitch Fix core product (e.g., Homefeed). The Growth Algorithms team generates personalized content tailored to client preference, and selects targeted tactics to drive client engagement. Cross-functional collaboration is deeply meaningful to us and is how we’ve built up immense trust with our partners in Marketing, Product, Strategy, and Engineering. You'll have the opportunity to bring your ideas to life by building on a foundation of strong business support, clear vision, engaged internal users, and bright, kind teammates.
You're excited about this opportunity because you will…
Have access to a wealth of unique data and best-in-class algorithms, providing a solid foundation to build on
Own full life-cycle model creation and deployment
Be a data steward, ensuring that our raw inputs, intermediate results, and finished data products are accessible and useful in perpetuity
Holistically understand ambiguous business problems and frame appropriate work streams
Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems
Be empowered to take initiative and follow your innate curiosity
We’re excited about you because…
Have 3+ years of experience working with cross-functional partners to develop and push forward strategies that impact multiple projects.
Have 6+ years of applied data science experience, e.g. not just fitting a model but being held accountable for creating business value.
Have an expertise in Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, Computer Science, or another quantitative field.
Have strong software engineering and design skills and can work within a shared (Python) code base.
Have experience applying data analysis, machine learning, or statistical modeling to real world applications.
Like a good challenge and are driven to make a tangible business impact.
Why you'll love working at Stitch Fix...
We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
We cultivate a community of diverse perspectives— all voices are heard and valued.
We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
We boldly create the future while keeping equity and sustainability at the center of all that we do.
We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
We offer comprehensive compensation packages and inclusive health and wellness benefits.
About Stitch Fix
We're changing the industry and bringing personal styling to every body. We believe in a service and a workplace where you can show up as your best, most authentic self. The Stitch Fix experience is not merely curated—it’s truly personalized to each client we style. We are changing the way people find what they love. We’re disrupting the future of retail with the precision of data science by combining it with human instinct to find pieces that fit our client’s unique style. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. This results in a simple, yet powerful offering to our customers and a successful, growing business serving millions of men, women and kids throughout the US and UK. We believe we are only scratching the surface and are looking for incredible people like you to help us boldly create our future.
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Senior Staff Data Scientist | Sofi |
The role
The Marketing Data Science team is looking to add a Senior Staff Data Scientist who will help shape Credit Card targeting decisions and strategy.. The Senior Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Credit Card into a top choice for consumers to “Get Your Money Right”.
You will be subject matter expert on Credit Card Pre-screening/Pre-approval acquisition strategy; credit bureau data; consumer profile and behavior; revenue economics; optimizing onboarding experience; and our internal customer performance and marketing datasets. You will also contribute to building audience segmentation, models and solutions that spans across acquisition, attribution, forecasting, and budget allocation across our marketing channels.
What you’ll do:
Develop a holistic Credit Card pre-screen/pre-approval marketing and offer strategy spanning across multiple channels; and developed in partnership with cross-functional teams
Develop an end-to-end offer strategy framework to constantly experiment and optimize offer construct, product preference, and audience selection spanning across credit card products.
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Establish and maintain a framework for measuring impact of targeting, segmentation and offer strategy on business outcome such as acquisitions, consumer profile, post acquisition performance, and revenue economics
Should be able to work with ambiguity and have strong problem solving skills when determining offer performance
Work with cross functional stakeholders across Marketing, Business Unit, Risk, Finance, Product and Engineering to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Support partners with ad hoc analysis requests that come up during normal course of business
Synthesize data into succinct presentations that influence senior management decision making
Own comprehensive daily, weekly, monthly reporting of all member engagement KPIs & build the right dashboards to track and communicate performance
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.
What you’ll need:
Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
8+ years of relevant work experience in credit card growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns
Industry experience in Credit Card is a must and Marketing Analytics highly desired
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with using Airflow to build Data Pipelines in Snowflake
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
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Senior Manager Data Science Credit Card Marketing | Sofi |
The Role
The Marketing Data Science (MDS) team is looking to add a Senior Manager who will help shape Credit Card targeting decisions and strategy. The Senior Manager will be working closely with cross functional teams such as Marketing, Business Units, Compliance, Product & Finance Partners to build and grow SoFi Credit Card into a top choice for consumers to “Get Your Money Right”.
You will be subject matter expert on Credit Card Acquisitions Strategy and have demonstrated experience in Pre-screening/Pre-approval acquisition strategy; credit bureau data; consumer profile and behavior; revenue economics; optimizing onboarding experience; and our internal customer performance and marketing datasets. You will also contribute to building audience segmentation, models and solutions that spans across acquisition, attribution, forecasting, and budget allocation across our marketing channels.
What you’ll do:
Build and lead a high performing team of data scientist and institute a data-driven culture for targeted acquisition growth in Credit Card
Be a trusted advisor to our credit card marketing team and leadership on what drives marketing performance, and provide guidance on how to accelerate our growth and impact on SoFi’s long-term plan
Define and execute on a vision for the MDS CC analytics team, making the difficult tradeoffs necessary to ensure on-time deliverables and high-quality work product where it will have the highest impact
Drive the evolution of SoFi’s Credit Card acquisition strategy, including pre-screen/pre-approval marketing/offer strategy, profitable product growth, segmentation strategy and audience optimization; spanning across multiple channels; and developed in partnership with cross-functional teams
Lead analytical efforts in an unstructured environment to identify key insight that can impact efficiency and scalability of credit card acquisitions across the marketing team, including direct mail, digital, addressable/broadcast TV, and Brand
Own end-to-end Credit Card acquisition strategy, experimentation and roadmap; and manage regulatory, compliance and audit alignment associated with Credit Card marketing
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Work with cross functional stakeholders across Marketing, Business Unit, Risk, Finance, Product and Engineering to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Synthesize data into succinct presentations that influence senior management decision making
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.
What you’ll need:
At least 3+ years in people leadership and management experience
10+ years of professional experience in business analytics (consulting to external clients and/or internal business partners), with a focus on credit card marketing, risk, business operations, or strategy
Deep expertise in Credit Card Industry, product economics and Marketing strategy is highly desired
Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
Ability to coach analysts to translate data into actionable business recommendations and distill findings in a way that non-technical and non-marketing teammates will understand
Proven ability to prioritize between the short-term demands and long-term needs of credit card portfolio
Track record of delivering impact. Can both develop but also help implement solutions to ambitious problems
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
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Senior Manager Data Science Science And Machine Learning | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We’re looking for a Senior Data Science Manager that will help in changing the way ads have been delivered over the last 20 years, breaking models, assumptions and thinking innovatively about protecting Pinner experience while generating revenue. The team is responsible for supporting all the surfaces in the Pinterest app – Home Feed, Search, Related Pins, Shopping Surfaces, Idea Streams etc. Each of them brings its own complexity and challenges which will provide exposure to a wide variety of data science problems to solve. This person would work with world class data science and ML talent in building the next generation advertising products and become a leader of leaders, developing a best in-class team of technical data scientists.
What will this person do?
Build, inspire and grow a high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space Working with product and engineering partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Help improve the measurements, metrics and decision making framework for improvements to our ads quality stack. Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner. Continuously research and stay up-to-date with the latest developments in data science, causal inference, and advertising technology to drive innovation within the Ads Team. Be a champion for building a highly talented and diverse team with an inclusive culture.
What we’re looking for:
MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc. Data Scientist, ML engineer or SWE in Digital Ads 6+ years of experience as a data scientist, algorithmic engineering, or machine learning 3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company Experience with related technical areas: Statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL) Data science models (Regression, Decision Trees, K-Means, etc.) Experience with large data sets and analytical tools, e.g. Hive, Spark Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills. Experience with hypothesis driven product development.
This position is not eligible for relocation assistance.
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Data Scientist I Oscar Modularization | Oscar |
Hi, we're Oscar. We're hiring a Data Scientist I to join our Product Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
+Oscar is Oscar's software platform and Campaign Builder is a tool that providers, payers, and partners use to engage with their members and customers. The Data Scientist I, Product Analytics will play a critical role in developing the data pipeline management and reporting infrastructure for +Oscar Campaign Builder clients. Additionally, they'll partner with the Customer Success function to conduct outcomes analytics and reporting based on client needs and interest.
Campaign Builder is an engagement and automation platform that enables scalable, personalized interventions and automates workflows to drive growth, manage risk, and optimize admin operations. Built for non-technical users, risk bearing entities can use the tool to build "campaigns" that deliver interventions with multiple touch points over time to drive behavior change. The solution has been a key differentiator for +Oscar clients and we're excited about bringing the technology to more users nationwide.
You will report into a Senior Data Scientist. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The potential base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.
You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.
Responsibilities:
Help establish and maintain strategic +Oscar Modular Solutions roadmap for the Data team
Work with key stakeholders to strategize, implement, and manage the productization of data science models related to Campaign Builder
Assist with the evaluation of the financial impact of campaigns with both external and internal audiences
Requirements gathering for data pipeline management and reporting infrastructure build out and enhancement; includes obtaining regular stakeholder and end-user input
Help establish success metrics for projects and work with business to track and communicate metrics through dashboards and metrics
Requirements:
A bachelor's degree and 2+ years of relevant work experience OR a master's degree in a quantitative field and 1+ years of relevant work experience
Experience working with and building data models using common tools like Python or SQL
Experience with product analytics
Experience managing projects and partners across the organization with the ability to visualize a process, identify and resolve bottlenecks
Bonus Points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
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Actuarial Analyst Ii | Oscar |
Hi, we're Oscar. We're hiring a Actuarial Analyst II to join our Actuarial team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role
The Actuarial Analyst II role works directly with other actuaries, data scientists, insurance and tech professionals to help Oscar's innovative model to succeed as we grow. We understand technology, so this can become a powerful part of your tool kit.
You will report to the Manager, Actuarial.
This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $78,400 - $102,900 per year. The base pay for this role in all other locations is: $70,560 - $92,610 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.
Responsibilities
Maintain pricing models and methodologies, perform multiple trend analyses and experience monitoringImportant contributor in developing and submitting regulatory filingsProvide an actuarial viewpoint across teams for Oscar's ACA-compliant Individual and Small Group markets as we grow in our marketsPromote and shape Oscar actuarial best practices concerning automation and documentationMaintain relationships, relationship, and lines of communication with all partners
Qualifications
A bachelor's degree in Statistics, Mathematics, or FinanceActively take exams in pursuit of becoming an Associate of the Society of ActuariesSuccessfully passed a minimum of 2 actuarial examsMinimum of 2 years of relevant actuarial experienceUnderstanding of foundational actuarial principles, including but not limited to pricing, forecasting, valuation, modeling, and product development
Bonus Points
Experience with SQLFamiliarity with the Affordable Care Act and related financial & regulatory reporting
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
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Health Care Data Science Phd Intern | United Health Group |
Internships at Optum. If you want an intern experience that will dramatically shape your career, consider a company that’s dramatically shaping our entire health care system. Optum, part of the UnitedHealth Group family of companies, is a leading health services and innovation company dedicated to helping make the health system work better for everyone. With more than 94,000 people collaborating worldwide, Optum combines people, technology, data and action to improve the delivery, quality and efficiency of health care. Our internship opportunities provide a view of a rapidly evolving, incredibly challenging marketplace of ideas, products and services. Here, you’ll work with some of the smartest people in the business on assignments that matter. Join us and you may end up staying for a career in which you can do your life’s best work.(sm)
Opportunities at Change Healthcare, part of the Optum family of businesses. We are transforming the health care system through innovative technology and analytics. Find opportunities to make a difference in a variety of career areas as we all play a role in accelerating health care transformation. Help us deliver cutting-edge solutions for patients, hospitals and insurance companies, resulting in healthier communities. Use your talents to improve the health outcomes of millions of people and discover the meaning behind: Caring. Connecting. Growing together.
Change Healthcare's AI & data science team is looking for PhD interns to join our team and work on some challenging projects. These projects include but are not limited to, document processing, image processing, clinical decision support, responsible AI, and predictive analytics. The ideal candidates should have solid problem-solving and analytical capabilities. The ideal candidate should be very detail-oriented and is able to deliver high-quality work.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Given a business problem, design and propose solution architectures and potential algorithms Use data and business requirements to justify the design Implement the solution by training AI/ML models or implementing needed logic Provide performance measures and analysis to illustrate the pros/cons of the design and implementation Present the solution and performance to the customers
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
Currently enrolled in a PhD program with a concentration in computer science, electrical engineering, data science, mathematics, statistics, and other engineering & science disciplines Demonstrated ability to work independently with minimum instructions Demonstrated ability to coordinate with team members Demonstrated ability to be a fast learner and is able to adapt to changing requirements Must be legally authorized to work in the United States without any restrictions (Consideration may be give given to F-1 students with practical training.)
Preferred Qualifications:
Basic knowledge of Machine learning & AI Developed coding skills with Python, SQL, and or other scripting languages Proven capable of handling large data manipulation & analysis Proven comfort talking with people with both technical and non-technical background
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York City, or Washington Residents Only: The hourly range for California, Colorado, Connecticut, Nevada, New York City, or Washington residents is $31.78 to $56.88.. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.
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Principal Data Scientist Fintech Lending Capital | Toast |
Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands. As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team. An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models.
About this roll* (Responsibilities)
Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance.
Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives.
Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices.
Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed.
Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization.
Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team.
Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities.
Do you have the right ingredients*? (Requirements)
Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline
8+ years of experience in data science, with a focus on credit risk modeling and lending growth strategies, preferably within the fintech lending space.
Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting.
Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc.
Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling
Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry.
Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders.
Strong leadership skills, with experience mentoring and guiding junior data scientists
Bonus ingredients*:
Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders
Our Spread of Total Rewards
Unlimited Vacation
Sabbatical opportunity after five years
Professional Development Reimbursement Program
Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
Various peer and company recognition programs
401(k) and matching
Medical, Dental, & Vision Coverage
Mental Health Benefits
Subsidized backup childcare
*Bread puns encouraged but not required
#LI-REMOTE
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Senior Data Scientist Product | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate. You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions. Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day.
What You’ll Do
Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets
Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
What You Need
Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
Strong python experience (numPy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, analysis, A/B testing best practices)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice to Haves
Experience at a high-growth startup
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Compensation
The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match)
Please note only 401k contributions made while employed by Ramp are eligible for an employer match
Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance
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Senior Data Scientist Inference Estimation | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do
Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp
What You Need
Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Experience working with large datasets in Python, Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice to Haves
PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup
Compensation
The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match)
Please note only 401k contributions made while employed by Ramp are eligible for an employer match
Unlimited PTO
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance
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Assistant Director Director I Data Science Machine Learning Innovation | Liberty Mutual |
Description
The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce. Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role
As a Data Scientist in Solaria Labs, you will be part of a team working on challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities:
Develops, customize novel machine learning algorithms for insurance-related applications.Able to Understand state-of-the art machine learning algorithms from the literature.Communicate complex concepts related to machine learning to stakeholders with varied backgrounds.Mentors a serves as a tech lead for a team of data scientists and advanced analytics staff.Collaborates with business partners to develop tools and solutions using advanced machine learning techniques.Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction.Supervises and performs highly complex, technical and creative predictive analytics projects.Regularly engages with the data science community and leads cross-functional working groups.
Please note this posting is open to multiple locations or remote. Compensation will vary based on location, experience and education.
Qualifications
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience required for Assistant Director level.Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 8+ years of relevant experience required for Director I level.Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. Provides tactical input on highly technically complex projects that drive change across function, SBU or Corporate Department. Supervises and performs highly complex well-defined work, containing technical and creative predictive analytics projects.Regularly engages with the data science community and leads cross functional working groups.Extensive experience analyzing data and a broad understanding of core statistical and ML techniques.Expertise with Python, Pytorch, Hugging face along with standard machine learning libraries.
About Us
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
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Director I Data Science | Liberty Mutual |
Description
Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques. We work on some of the most exciting projects across all of Liberty. If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyondDetect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV) Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practicesExplore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ dataEngage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiativesWorking cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners. Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.Drives innovation in the application and development of tools and practices.Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.Responsible for larger components of highly complex projects.Guides aspects of project design as a technical expert for the team.Regularly engages with the data science community and leads cross functional working groups.
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.Advanced knowledge of predictive toolset; reflects as expert resource for tool development.Demonstrated ability to exchange ideas and convey complex information clearly and concisely.Ability to establish and build relationships within and outside the organization.Ability to give effective training and presentations to management and other groups.Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.Broad knowledge of business drivers and market context.Has a value driven perspective with regard to understanding of work context and impact.Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.NLP and CV experience preferred.
About Us
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
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Research Scientist Computational Biology | Deep Genomics |
About Us
Deep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is based in Toronto, Ontario with additional locations in Cambridge, Massachusetts and Montreal, Quebec.
Where You Fit In
We are seeking a creative and talented Computational Biologist with an interest in using machine learning, large datasets and automation to revolutionize drug development. You will work regularly with and learn from our multilingual team of machine learning scientists, software engineers, computational biologists, molecular geneticists, and wet-lab scientists to help design oligonucleotide therapies.
What you will do:
Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms.
Analyze high-throughput drug and sequencing data (e.g. RNA-seq, CLIP-seq, MPRAs, Perturb-seq) to help build machine learning models and design novel antisense oligonucleotides.
Apply machine learning models to design novel antisense oligonucleotides.
Interrogate how antisense oligonucleotides interact with regulatory mechanisms to achieve its effect.
Develop fast and accurate predictive workflows to support target validation and preclinical proof-of-concept for our oligonucleotide therapeutics.
What you bring:
A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience.
At least 2 years of experience with the development of novel algorithms/analysis pipelines for integrative analysis of genomics or other biological datasets.
Ability to design experiments, formulate hypotheses based on data, uncover causal mechanisms, and visualize data.
Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).Proficient in Python or R.
Comfort working with limited supervision in a fast-paced and rapidly growing work environment.
You are a great communicator, highly organized and are willing to adapt to new situations quickly.
Nice to have:
Post-graduate experience (postdoc or industry).
Experience with RNA biology or antisense oligonucleotides.
What we offer:
A highly competitive salary and meaningful equity compensation (ESOPs)
A wide array of company-paid benefits
Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.
Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process
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Data Scientist | Deep Genomics |
About Us
Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is located in Toronto, Ontario and Cambridge, Massachusetts.
Where You Fit In
We are seeking a highly motivated data scientist/ bioinformatician with solid programming skills. The successful candidate will have a good understanding of molecular biology, human genetics, and basic statistics, and will take on tasks spanning bespoke analysis of experimental data, data visualization, genomics data processing, and experimental design.
What you will do:
Analyze high-throughput experiments to assess data quality and identify hits.
Support preclinical development programs with computational analyses.
Build tools to automate recurring data analysis.
Collaborate with machine learning scientists and engineers to build tools to streamline design of antisense oligonucleotide compounds
What you bring:
BSc in Computer Science, Bioinformatics, Statistics, or a related field.
Two years of relevant postgraduate experience or a graduate degree in Computer Science, Bioinformatics, Statistics, or a related field.
Understanding of basic concepts in molecular biology and human genetics at the undergraduate level or higher.
Solid statistics knowledge with ability to perform various statistical analyses independently.
Solid knowledge of the Unix shell, Python, and Pandas.
Comfort working in a fast-paced and rapidly evolving work environment.
Nice to have:
Experience with R and cloud computing.
Experience with human genomics data (including next generation sequencing).
What we offer:
A highly competitive salary and meaningful equity compensation (ESOPs).
A wide array of company-paid benefits.
Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.
Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
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Data Scientist | Bhg Financial |
Are you ready to join a growing team that puts a premium on productivity and has an award-winning culture, centered around transforming talented employees into effective business leaders?
Then BHG Financial is the place for you. We offer innovative financial solutions to licensed and highly-skilled professionals, representing the best of both traditional lending and fintech, and are looking for passionate, impact players to help take our company to the next level.
At BHG, you’ll become immersed in the finance industry—with a variety of loan solutions, credit cards, patient financing, bank programs, and collections services, which have helped BHG become one of the leading providers of finance solutions.
With over 20 years in business, we have the stability of an established company with the speed and agility of a startup, where ingenuity and risk-taking are encouraged, and every employee has the opportunity to learn, grow and thrive.
Who You Are
You are a motivated Data Scientist who is passionate about driving results and has a creative approach to solving problems. The candidate will be responsible for providing support to the organization with data-driven insights using advanced statistical and modeling techniques. This is a unique opportunity where the data scientist will transform technical insights into actions that affect key aspects of the business.
What You’ll Do
The Data Scientist will apply advanced statistical modeling algorithms to solve complex business problems in marketing (direct mail, email, digital, etc.)
The Data Scientist will interface with stakeholders throughout the organization as you seize opportunities to leverage company data to drive business solutions.
The Data Scientist will evaluate proprietary and vendor data sources for opportunities to create new features and enhance statistical models.
Create tools and processes to standardize and centralize common functions in an analytic toolkit for the benefit of the larger analytics ecosystem, including packages, functions, and feature stores.
Contribute to quantifiable improvements in business decision-making with modeling solutions and strategy recommendations.
Deliver analytic insights and recommendations in compelling presentations
Create model documentation and own model maintenance
Design routines for automated model reporting
Continuously improve a proactive, business-focused framework for testing new data sources to expand or enhance our marketing, decisioning, and portfolio management activities.
What You’ll Need
Master’s/PhD degree in Statistics, Math, Data Science, Operations Research, Engineering, or related quantitative fields
1-3 years of Data Science experience
Proficient with advanced statistical modeling and analysis in R and/or Python
Proficient with writing SQL queries, and ability to work with large datasets
Ability to drive the action of modeling & analytics projects with guidance
Strong communication skills: written, verbal, presentation, and storytelling with data
Modeling experience with FCRA-regulated data (e.g., credit bureau attributes) is a plus
R Shiny programming ability is a plus
Analytics experience in a cloud environment a plus
Life at BHG
At BHG, we work hard and aren’t afraid to take risks. Since the beginning, our core values of PMA (positive mental attitude), team player and loyalty have been the driving force behind every interaction we have between each other and our customers. We have a healthy respect for the daily grind, yet we value work/life balance. We believe that all employees should have the opportunity to lead and that good ideas can come from anyone. From the top-down, our leaders are actively involved not only in strategic oversight and running the business, but also in the wellbeing and growth of all employees. We consider people our #1 asset, and help employees realize their full potential, set and exceed their goals, and explore new opportunities for personal and professional development.
Why You Should Join BHG
We strive to offer amenities, opportunities, events, and programming that support the interests of our teams, while furthering the culture that makes us Great Place to Work® certified. Some of the benefits you can expect when you join BHG include:
· 100% coverage of monthly health insurance premiums
· Competitive PTO and vacation policies
· Company 401(k) plan with employer contributions after one year
· On-site gym access and memberships, with personal trainers, and certified nutritionists on staff
· Company-sponsored training and certification opportunities
· Quarterly award ceremonies where top achievers are celebrated and receive additional bonuses
· Ongoing volunteer opportunities to give back to the community through our BHG Cares program
If you’re ready for a career where you can exercise your passions, be surrounded by co-workers who are relentlessly committed to service, and have a team-player mindset, apply today!
** All Remote employees at BHG Financial are required to work within the United States of America.
BHG Financial is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. BHG Financial is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
#LI-Remote
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Data Scientist | Catch |
About us:
We’re on a mission to unlock more rewarding relationships between merchants and their customers, starting with changing the way we pay for things online. Backed by Sequoia, Index Ventures, and Forerunner, as well as the founders of Affirm, Warby Parker, Allbirds, Casper, and DoorDash, Catch is a new payment service that allows both merchants & consumers to save money by cutting out credit card processing fees. Everyone wins – except the big banks!
We’re a fully distributed, tight-knit team of ~45 today. Building a diverse team is paramount to our success and fostering a healthy company culture, and we’re committed to an equitable interviewing process for all candidates.
The Role:
The data scientist in this role will have two core responsibilities:
Primarily, they will be responsible for end-to-end ownership of the data, analytics and machine learning that powers our fraud and risk engines. This person will join a cross-functional team of product managers, software engineers and operations managers to improve Catch’s fraud-fighting capabilities. This work will require thinking strategically, developing metrics, performing analysis, and building rules/ML models to identify would-be fraudsters.
Secondarily, this person will support the wider data science and analytics functions within Catch. As a data science leader, this person will be responsible for setting the direction and roadmap of our data science function at Catch, while supporting company-wide data science needs such as analyzing experiments, maintaining our data infrastructure, and improving our data efficiency.
What will you do?
- Work cross-functionally with product managers, software engineers and operations managers to build a comprehensive fraud-fighting product
- Analyze data, find trends and develop rules/ML models to identify would-be fraudsters
- Maintain metrics and KPIs to understand our performance in preventing fraud
- Own company-wide data science functions such as experimentation, data infra and dashboarding
- Develop data science strategy and roadmap for both fraud and company-wide data science needs
- Contribute to Catch product strategy by providing data-backed insights
What skills and experience do you need?
- 3+ years of relevant data science or fraud/risk analytics experience
- Proficiency in a scientific computing language and environment (e.g. python/pandas/jupyter, R, matlab, etc.)
- Proficiency in a querying language (e.g. SQL)
- Proficiency in data analysis, data exploration and data visualization
- Experience with ML systems - specifically classifiers
- Experience with experimentation and A/B testing
- Strong communication skills, with the ability to create data-backed arguments to influence stakeholders
- Prior experience with risk/fraud
Some additional experience is nice to have, but not necessary:
- Experience with modern data stacks and ETL/ELT systems
- Experience working within a startup environment and scaling a data science function
Catch’s Employee Benefits (not exhaustive & will grow over time):
- Comprehensive medical, dental, and vision
- Generous family leave policy— four months for either parent
- Unlimited vacation (and we encourage folks to take the time off that they need)
- Focus Fridays: No internal meetings on Fridays so you can end the week with focus time!
- A $500 Home Office Stipend to set up your work from home space
- A $500 per year Learning & Development stipend for personal & career growth
- $50 in Catch credits every month to spend at our merchants
Catch is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.
The annual salary range for the expected level for this role is $160,000- 180,000 at time of posting. Compensation also includes equity and comprehensive benefits. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed above.
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Sr Data Scientist Credit Strategy | Yendo |
About us
Hi there, we're Yendo, and we are improving the way people finance their daily lives.
💳 100 million Americans lack access to sustainable credit and are forced to use predatory loans. Think 500%+ APR alternative financing options such as Auto Title, Payday, Pawn, and Personal Loans. Each year almost 25% of adults are excluded from the mainstream credit system, severely inhibiting their chances of accessing affordable borrowing, getting a mortgage, or even an auto loans.
📱 We are using modern technology to instantly value a borrower's vehicle and issue a vehicle secured credit card that is ~96% cheaper than current options for those denied by traditional loan products. Yendo Credit Cards are standard-interest 24% APR with no hidden fees or overdraft charges and help build their customers' credit score.
👨💼 Our executive team previously built a business that scaled to $100M ARR and has extensive experience in collateralized lending in under-developed credit markets.
🧠We are backed by leading VCs, accomplished entrepreneurs, respected philanthropists, and founders from across the U.S. Our backers are the minds and investors behind the success of the Apple Card, Brex, Dave, Scribd, Parse, Canva, Robinhood, Flexport, Gusto, Reddit, Notion, LinkedIn, among others.
Stage: Series A
Total Funding: $33M
Yendo is based in Dallas, Texas with nationwide team. This role is in our office in the Deep Ellum area of Dallas.
💰Competitive Compensation
📈Equity
🍎Insurance
📊 401K
🏝Unlimited PTO
About the role
We are seeking an innovative, data-driven professional to further develop and refine Yendo’s credit strategy. Yendo uses various alternative and collateral based data sets to provide affordable finance to those locked out of the traditional underwriting system.
In this role, your mandate is to build the foundation for a resilient and mission driven credit strategy program. You will work closely with cross functional teams including Product, Data Science, and Engineering teams to bring new lending programs to life.
We are working day-in and day-out to defeat predatory lending and unlock affordable finances for 100 million people. No task is too small for anyone within Yendo. This is an aggressive, fast-paced, and fun environment. A work-hard, play-hard mindset is required to do well here.
What your day-to-day will look like
Developing and implementing credit strategies based on analytics (e.g. SQL, Python) and strategic long term thinking.
Owning a full lifecycle of credit policy changes from ideation through execution.
Monitoring consumer loan performance to constantly innovate and improve credit policy.
Ensuring loan portfolios meets the company's risk tolerance.
Additional duties as assigned by your manager.
Act as a key member of a small, elite team, influencing company strategy, culture, and road map
Win.
Who you are
7+ years experience in credit / consumer finance risk strategy
You have a master's degree in a highly quantitative field (Statistics, Economics, Mathematics, or a related highly quantitative degree) required
Proven track record of developing and managing a consumer credit risk program in a bank or other consumer lending program
An innovative thinker. Yendo’s product is highly disruptive and requires a significant level of creativity.
Experience in consumer fintech or risk-based products is a plus.
Willingness to be deep in the details while also being able to create and communicate higher level strategy
You are competitive and want to win.
Self-starter attitude and ability to work independently
Passionate about financial inclusion and mobility
Demonstrated ability to partner effectively across the organization.
Self-starter and ability to build programs from scratch.
Must have a positive attitude and willingness to roll-up their sleeves and get things done.
Strong interpersonal skills and the ability to cultivate relationships with senior leadership
We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!
In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at Yendo. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within Yendo.
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Data Scientist | Gloo |
Gloo was founded as a mission-driven organization with the goal to release the passion in every person to Champion the growth of another so they can be all they were born to be.
Today, organizations of all sizes in the faith space use Gloo’s products to become more informed, better connected, and fully equipped to overcome their greatest challenges and achieve powerful outcomes, helping people progress through their personal growth journeys.
By building a common platform, we are creating a shared infrastructure that removes friction, promotes collaboration, and equips leaders with the right tools to galvanize personal growth and change lives. We are a fast-moving and passionate team that is looking for more talented professionals who are driven to make a positive impact.
The Opportunity:
As a Data Scientist you’ll bring 3+ years of modeling experience to apply to Gloo’s Product line. You’ll jump to prototype ideas and showcase the value of predictive analytics. You’ll be building and deploying machine learning models as data products. In other words, you will make a big impact at Gloo!
The Team:
As part of a team of specialists, the data science team is responsible for understanding use cases, coming up with solutions, testing ideas, and deploying models to a production environment. The culture of our team is extremely important to us. We want you to be engaged in your projects, voice your ideas, have full ownership from end to end, and be proud of what you accomplish.
What You'll Be Doing:
Recommending and testing proposed solutions
Performing the analysis and/or modeling for proposed solutions
Working with engineering and product to design solutions
Building text classification and other NLP models
Contribute to MLOps Infrastructure
Measuring effectiveness of proposed solutions
Explaining impact and value of modeling to stakeholders
What We're Looking For:
A bachelor's degree in computer science, engineering or related field – commensurate experience may substitute for degree requirements
3+ years of data science experience
A love for talking about the applications of data! You can easily explain an ROC curve, a lift chart, and recommend testing strategies for model improvements
Proficiency with a query language such as SQL
Proficiency with Python
Proficiency with text classification and NLP modeling techniques
Experience with machine learning operations and deploying models
Ability to design and code reports that showcase modeling’s value and insights
Instinctive thought process for determining if modeling outputs are correct
Keen interest in assessing model accuracy and projected performance
Strong critical thinking skills for effective troubleshooting
Ability to prioritize work based on stakeholder input; can effectively manage a backlog
A drive to help others – it feeds your soul
Experience with AWS and SageMaker services (Preferred but not Required)
Compensation: $100,000-$140,000
Our Team Members Enjoy:
Compensation and bonus commensurate with experience
Plenty of time off to keep you balanced
Medical benefits with multiple plan offerings, HSA contribution, and Dental and Vision plans
A dynamic, talented team, dedicated to changing the world and building an incredible business
Onsite and virtual social events to keep us connected in our hybrid work environment
Beautiful office space in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails
Applicants offered employment will be required to provide evidence of authorization to work in the United States, and will be required to work from a physical location within the United States in accordance with Gloo’s Remote Work Policies.
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Head Of Data Science | Climateai |
About ClimateAi
ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods and nature. We use AI to predict the risk of climate change, water and biodiversity. We then generate actionable insights that help stakeholders build strategies for their operations, supply chain planning, and regulatory disclosures.
We are a fast-growing Series-B company with its roots in the dorms of Stanford University. The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Head of Data Science to join our growing team.
Culture
Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customer accounts that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.
We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive criticism, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.
About the role
The head of data science will be focused on three main areas. Operational Data Science management, R&D development and Data Science Communication. The operational data science management role will be continuing the development of our CMIP6 post processing pipeline and S2S forecasting system that merges statistical and dynamical models. On R&D will conduct cutting-edge applied research at the intersection of climate and data science. Finally will work closely with Product, Engineering and Solutions to communicate and translate the data science work to internal and external stakeholders. This individual should be able to work remotely and manage team leaders.
Role responsibilities
Set roadmap and OKRs for data science team
Conduct weekly 1 on 1 with team leads and quarterly teamwide reviews
Communicate vision and execution details to internal and external stakeholders
Drive innovation forward
Review all Data Science projects and technical specs for coherence and alignment
Qualifications
Experience leading a data science team
Data Science background (Climate Science background a plus)
Proven ability to hire and grow teams
What we offer you
Competitive salary.
ClimateAi stock plan.
Medical, dental, vision benefits.
Learning budget per year.
Discretionary Time Off policy for many employees.
Flexible working hours on many teams.
Culture of diversity and inclusion including employee resource groups.
Work with cool people and be part of the mission to help the world.
$150,000 - $220,000 a year
The compensation information above is provided in compliance with job posting disclosure requirements in Colorado, New York, New Jersey, Washington, and California. Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs.
Added Benefits:
Employees may expense relevant learning, growth, and personal development.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Jr Innovation Data Scientist | Climateai |
About ClimateAi
ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods, and nature. We use AI to assess the impacts of climate change, water scarcity, and declining biodiversity for businesses and government agencies around the world.
We are a fast-growing Series-B company with its roots in the dorms of Stanford University. The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Junior Innovation Data Scientist to help build a better tomorrow.
As a Junior Innovation Data Scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and trends across a wide range of spatial and temporal scales. You will work closely with other members of the innovation and data science teams to develop and implement algorithms that can be used to enhance climate forecasts and to uncover novel dynamics in the relationship between humans and natural systems.
Culture
Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customers that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.
Responsibilities:
Analyze and interpret complex data sets to identify patterns and trends
Develop and implement machine learning models and algorithms
Work in collaboration with Innovation team to develop new products and services
Work in collaboration with Engineering to integrate new tools into core product
Communicate findings and insights to a variety of stakeholders
Qualifications:
Ability to write well-documented and well-structured code
Basic understanding of statistics – including familiarity or experience with probability theory and time-series analysis
Experience analyzing and visualizing relatively large geospatial datasets
BS in physical / environmental science, computer science, engineering, or similar
Preferred Skills:
Knowledge of Python (familiarity with R, SQL, or JavaScript is an asset)
Experience with collaborative data development (familiarity with Jupyter Notebook and GitHub is an asset)
Experience manipulating geospatial data (GIS) in Python or R (familiarity with QGIS, Whitebox, or GRASS is an asset)
Experience communicating complex findings to a non-technical audience
What we offer you:
Competitive salary.
ClimateAi stock plan.
Medical, dental, vision benefits.
Learning budget per year.
Discretionary Time Off policy.
Flexible working hours.
Culture of diversity and inclusion including employee resource groups.
Work with cool people and be part of a mission to help the world.
Location
San Francisco Bay Area, CA / North America remote.
Compensation
Aligned with the best standards of the city you will be working from, commensurate with experience.
Added Benefits
Employees may expense relevant learning, growth, and personal development.Application DeadlineX, 8 PM Pacific time. We are accepting applications on a rolling basis.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Science Intern | Climateai |
About ClimateAi
ClimateAi is on a mission to climate-proof the economy while aiming for zero loss of lives, livelihoods and nature. We use AI to predict the risk of climate change, water and biodiversity. We then generate actionable insights that help stakeholders build strategies for their operations, supply chain planning, and regulatory disclosures.
We are a fast-growing Series-B company with its roots in the dorms of Stanford University. The platform was in TIME's Best Inventions list for 2022. We're seeking an innovative, passionate, team-oriented Chief of Staff to join our growing team.
Culture
Everyone at ClimateAi is driven by a united passion to tackle climate change. We don't sell to customer accounts that we see as negatively impacting climate outcomes. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal opportunity employer.
About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate resilience tools for various sectors, with agriculture as our initial market. We have an opening for a data scientist to work at the intersection of environmental modeling, climate change, and machine learning.
Also, the candidate will be working on shaping the vision of the company with the founders and building a brand around climate sustainability. We hire people who are collaborative, adaptable, communicate well, and love to learn.
Main Responsibilities:
The candidate will primarily work on the development of our operational weather and climate prediction product. This involves wrangling and combining several data streams from different sources such as web APIs, 2D and 3D climate datasets, satellite data, etc. Further, there will be an active research component looking at how to constantly improve our product through advanced machine learning techniques.
The candidate will be supervised by our senior data scientist and work in close collaboration with the software engineering team. Familiarity with a range of techniques and tools to process data in Python is a requirement. Experience with packaging and modularizing Python code is a plus.
The ideal candidate will be comfortable working with a close team in a fast-paced environment. Communicating between climate scientists and software engineers will be crucial. Expect to give and receive constructive criticism as we foster a highly dynamic, fast-paced, collaborative work environment focused on rapid learning and adaptation. While we are interested in all qualified applicants, the position is well suited for someone with a BS/MS in a relevant field and demonstrated strong coding skills.
Work will be remote. Any location within a US/European time zone is possible.
Preferred Qualifications:
BS/MS in computer science, applied math, physics or environmental science
Experience handling data in Python: Pandas, xarray, numpy, etc.
Familiarity with environmental or geographical data
Familiarity with basic concepts of statistics/machine learning
Experience writing packaged Python code
Experience with Git and working on the cloud
Most importantly, candidate must have a passion for working on tackling issues at the cutting edge of climate change adaptation and resilience.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If this sounds like you, we want to hear from you.
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Applied Research Scientist | Descript |
Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder. We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc. to help us realize our vision. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like OpenAI, Andreessen Horowitz, Redpoint Ventures and Spark Capital.
We need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.
Some of our research publications:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP
Responsibilities
Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
Contribute to designing the research roadmap of the company
Train and mentor other members of the team.
Own the research function of specific product features.
Challenges
As a core member of our research team, you'll play an integral role in challenges such as:
Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
Creating realistic voice doubles using only a few minutes of audio.
Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
Coming up with new research directions to improve our product
Requirements
Proven experience in designing and implementing deep learning algorithms.
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
Good programming skills and experience with deep learning frameworks.
Ability to generate more ideas than you can implement.
Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
You wish you had more GPUs to run all the experiments that you wanted!
You know Pytorch/Tensorflow inside-out
We do not require domain-specific knowledge in computer vision or speech-processing
At least one of the following must be true for the applicant to be considered:
Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component.
The base salary range for this role is $180,000- $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.
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Applied Ai Research Manager | Descript |
Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In November 2022, we took a huge leap forward by launching Storyboard, the video editing foundation that we’re excited to build atop AI capabilities like Overdub, Studio Sound, and other generative AI capabilities in the near future. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures and Spark Capital.
We’re looking for a strategic thinker who has a strong product and technical acumen to lead our Applied AI Research team and shape the product and business in the coming years via the cutting edge advancements in AI. You’ll be managing a talented team of AI Researchers specialized in generative models and deep learning and will report directly to the VP of Engineering.
Some of our research publications:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP
Job Responsibilities
The Applied AI Research Manager will be responsible for managing and leading our Applied AI Research team in developing and implementing cutting-edge AI technologies for the Descript product. The responsibilities include:
Leading research projects and ensuring their timely completion
Collaborating with other teams to integrate AI technologies into real-world products
Mentoring and managing a team of research scientists and engineers
Developing and implementing research strategies
Staying up-to-date with the latest developments in AI technology and incorporating them into our research
Representing the company in conferences and events
Qualifications
The ideal candidate will have:
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
3+ years in managing AI teams and 5+ years of experience with building deep learning models
A track record of leading and shipping research projects in production
Experience in managing and mentoring research scientists
Strong knowledge of deep learning (and ideally generative models)
Excellent communication and interpersonal skills
The base salary range for this role is $200,000- $260,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.
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Senior Data Scientist | Grammarly |
Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for an experienced Data Scientist to shape Grammarly's experimentation and modeling roadmap across the product and marketing teams. A Data Scientist in this role would:
Advance our statistical rigor and methodologies.
Accelerate the cadence and quality of experiments.
Partner closely with the marketing team to measure and optimize marketing channel incrementality using Causal Impact or equivalent approaches.
Develop cross-channel measurement models such as MediaMixModeling to optimize budget allocation.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:
Take on a broad scope of work and an evolving role at a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.
Support for you, professionally and personally
Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $211,000 – $253,000/year (USD)
Zone 2: $190,000 – $228,000/year (USD)
Zone 3: $180,000 – $215,000/year (USD)
Zone 4: $169,000 – $202,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
#NA
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Senior Data Scientist Experimentation Platform | Grammarly |
Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for an experienced Data Scientist to own Grammarly's experimentation framework from the perspective of statistical testing and metrics. This role requires deep domain knowledge of statistical methods, experimentation best practices, experience developing experimentation platform tooling, and technical leadership skills. A Data Scientist in this role would:
Shape the roadmap and experimentation best practices for teams across Grammarly.
Advance our statistical rigor and methodologies.
Accelerate the cadence and quality of experiments.
Partner closely with Engineering to enable our ability to scale.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategies. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist in this role, you will:
Take on a broad scope of work and an evolving role at a rapidly growing company.
Evaluate current experimentation practices across the organization and identify opportunities for improvement.
Develop best practices for experimentation capabilities across the organization.
Collaborate with cross-functional teams, including engineering, product, and marketing, to define and track key performance indicators (KPIs) for experiments.
Conduct literature reviews and share best practices with the organization, providing guidance and support for stakeholders involved in experimentation design and review
Conduct deep-dive analyses into user behavior.
Drive direction on the Product and Growth teams.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 5+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.
Support for you, professionally and personally
Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $226,000 – $281,000/year (USD)
Zone 2: $203,000 – $253,000/year (USD)
Zone 3: $192,000 – $239,000/year (USD)
Zone 4: $181,000 – $225,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
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