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Data Scientist Mobile | Grammarly |
Grammarly team members in this role will collaborate in person 2 weeks per quarter, traveling if necessary to different hubs. They are required to live within a commutable distance of their home hub of San Francisco. Grammarly may provide relocation assistance.
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 seeking a highly skilled Data Scientist to join our team and work on our mobile keyboard product. The ideal candidate will have a strong product sense and be able to work collaboratively with cross-functional teams to develop data-driven solutions. A Data Scientist in this role would:
Analyze user behavior data and identify patterns and trends to drive product decisions.
Collaborate with cross-functional teams to design and implement experiments and A/B tests to validate hypotheses and measure the impact of product changes.
Work closely with Product Managers, Engineers, and Designers to identify opportunities for data-driven product improvements.
Communicate complex data analysis and insights to both technical and non-technical stakeholders.
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 strong technical and analytical skills to break down complex business problems to 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 in a rapidly growing company.
Conduct deep-dive analyses of 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 2–3 weeks per quarter, traveling when necessary to the hub where the team is based.
Holds a 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 and a strong bias toward actionable insights.
Ability to work in a fast-paced, dynamic environment.
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) matching (US only)
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.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this San Francisco-based position are outlined below and may be modified in the future.
San Francisco:
Zone 1: $197,000-$244,000/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.
|
Data Scientist | Socure |
Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies. Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products: https://www.youtube.com/watch?v=ifM9_jPQCv8We are seeking a highly motivated and skilled individual to join our computer vision and data science group as a Data scientist to support the computer vision team. The successful candidate will be responsible for performing a wide range of tasks related to analyzing product and model performance, dataset curation and cleaning, model governance and bias analysis, and product BI and metrics.What You'll Be Doing:Run analysis on product performance using Python, SQL:
Analyze large data sets using Python, SQL and other data science tools to identify trends, patterns and insights related to product performance.
Design and implement automated data processing pipelines to streamline data analysis and reporting.
Work with cross-functional teams to develop actionable insights that drive business decisions.
Interact with clients and external personnel:
Collaborate with clients and external stakeholders to identify business requirements, understand their needs and provide support as needed.
Communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.
Build and maintain strong relationships with clients and external personnel to ensure customer satisfaction.
Work on dataset curation and dataset cleaning for computer vision training:
Clean, preprocess, and curate large-scale datasets for computer vision training.
Identify and address issues with the dataset, such as missing or erroneous data, class imbalance, and bias.
Develop and implement strategies to improve dataset quality and diversity.
Work on product BI and metrics:
Develop and implement dashboards and other data visualization tools to provide insights into product performance and user behavior.
Identify key performance indicators and develop metrics to track and measure product success.
Analyze product usage and customer feedback to identify areas for improvement.
Work on model governance and bias/disparate analysis of different machine learning models:
Develop and implement policies and procedures for model governance and bias/disparate analysis.
Identify and address bias and disparate impact in machine learning models.
Develop and implement strategies to improve model fairness and accuracy.
What You’ll Bring:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong programming skills in Python and SQL
Strong analytical and problem-solving skills..
Up to 2 years’ experience working with large-scale datasets and data processing pipelines.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Ability to work independently and in a team environment.
Strong attention to detail and ability to manage multiple projects simultaneously.
Experience with computer vision, machine learning models, deep learning frameworks and libraries is a plus
If you are a self-starter who is passionate about data science and computer vision and wants to work in a dynamic and innovative environment, we encourage you to apply for this exciting opportunity.Salary Disclosure:Base Salary range: $95,000 - $115,000This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. This position is eligible for a generous sales incentive bonus. Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos:
Socure is Forbes' 2022 Best Startup Employer: bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release
|
Senior Data Scientist Deep Learning | Udemy |
About us
At Udemy, we’re on a mission to improve lives through the power of learning. We’re a leading global learning company and one of the world’s largest education platforms, with more than 57 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by making learning more accessible for our learners, our instructors, and businesses around the world.
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and the US. Learn more on ourcompany page.
About you
You’re an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering.
About this Role
In this role, you will build products that leverage deep learning. You will work as part of a cross-functional agile team that includes data scientists, machine learning engineers, software engineers, designers, and product managers. Success in this role requires a combination of product intuition, data analysis skills, deep learning knowledge, and the coding chops to dive head first into development on production systems.
Responsibilities
Collaborate with PMs, designers, and engineers to scope and build data products.
Perform statistical analysis, feature engineering, model development, and offline evaluation for AI products.
Develop key metrics and monitor performance of the products.
Design and analyze experiments.
Develop production-grade applications and data pipelines to power AI products.
Proactively influence product prioritization through data-driven insights.
Build Udemy’s technical brand through talks, blog posts, and publications.
Qualifications
2+ years of experience building complex data products
3+ years of hands-on industry experience in a data science-oriented role
Strong knowledge of statistics, machine learning, and deep learning
Ability to communicate effectively with non-technical stakeholders
Proficiency with SQL and 1+ programming languages (e.g., Python or Scala)
Preferred, but not required
Familiarity with standard software engineering practices and distributed computing
Experience using big data technologies (e.g., Hadoop, Spark)
We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
Life at Udemy
We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy:
We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it.
Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend.
Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success.
We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work. Learn more about our certification here and find out what it's like to work at Udemy on our blog.
Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs?
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We will consider for employment qualified applicants with arrest and conviction records.
Our Benefits Start With U
Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:
Core Benefits: Comprehensive medical, dental, vision, life/AD&D, and disability coverage
HSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributions
Transgender Benefits: Expanded medical coverage for gender-affirming care
Parental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to six to ten weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full pay
Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, virtual family care, reproductive health, breastmilk shipping, and caregiving support
Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development
Retirement: Pre-tax and Roth 401(k) plan with an employer contribution
Charitable Giving: Corporate charitable match for eligible nonprofits and charities
Vacation: Flexible vacation for salaried Udemates and fifteen days per year for hourly
Holidays: Twelve paid holidays throughout the year
Would you like to learn more about Udemy? Here are a few resources:
How Udemy Started [video]
Investor Overview
The hiring range for this position is $134,000 - $231,000. Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for benefits and equity.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
|
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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Data Scientist Supply Chain Analytics | Ford |
Want to help drive the future of automotive supply chain operations? Join Ford's Supply Chain Analytics team! As a Data Scientist, you'll work with a curious, proactive, and creative team that's critical to Ford's success. By leveraging advanced data analytics and the latest tools, you'll solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of our company. If you're passionate, knowledgeable, and highly motivated, we want you on our team!
This is a hybrid position, however, we will consider exceptional Remote candidates.
What you’ll be able to do:
Drive improvements in Ford’s supply chain operations through big data analysis and modelling
Develop innovative tools that translate complex data into actionable insights for key stakeholders
Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-making
Execute digital transformation projects to improve supply chain operations
Deliver tangible value for customers and stakeholders through data-driven insights and solutions
The minimum requirements we seek:
Ability to extract actionable insights from data
Experience using SQL to extract, clean, and transform data in large, complex, nested databases
Experience using programming languages such as Python or R in a cloud platform
Experience doing research, analysis, data science or solution development
Excellent written and verbal communication skills and strong intellectual curiosity
Our preferred requirements:
Experience in statistical analysis and modeling
Advanced degree in a related field
Experience in the automotive industry
Experience in at least one area of supply chain operations, such as constraints, risk management, sales and production planning, material planning, or logistics
Experience developing and delivering projects in Google Cloud Platform (GCP)
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
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. Visa sponsorship is available for this position.
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.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-GSR-sal-plan-2.pdf
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.
|
Data Scientist | Ford |
Data Scientist
Dearborn, MI, United States
(Remote)
Trending
Job Description
Are you passionate about data and data science?
We are seeking top-tier Data Science professionals who are data driven, and detail oriented to help drive high- quality feature development and support continuous improvements in customers' experiences with our products. Our ideal candidate will lead or assist in ML model development to support software updates to our connected vehicles and predict connected feature performance. We strongly believe that data has the power to help create great products and experiences which delight our customers. We believe that actionable and persistent insights, fueled by high- quality data platform, are at the center of impactful decision-making.
This role is eligible for #remote
Responsibilities
What you’ll be able to do:
Critical Thinking: Influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting/implementing data driven strategies that fuel growth including cost savings, revenue, and profit.
Modeling: Develop, test, validate, and implement statistical/predictive models using cutting- edge algorithms and diverse sources of data.
Analytics: Use analytical applications and languages like Python, Alteryx, and tools in GCP to identify trends and relationships between different pieces of data, drawing appropriate conclusions and translating analytical findings into business strategies or analytics software.
Data Engineering: Craft ETL processes to source and link data in preparation for Model/Algorithm development. Be the domain expert of data sets in the environment, third-party data evaluations, and data quality.
Storytelling: Build visualizations to connect disparate data, find patterns, and tell engaging stories. This includes both scientific and geographic visualizations using applications such as QlikSense and GCP Data Products.
Qualifications
The minimum requirements we seek:
Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering or related field or a combination of education and equivalent experience
2+ years of experience of statistical and machine learning methods and their accurate application e.g., ANOVA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
2+ years of experience with Python (and related modules), SQL, Cloud (preferably GCP)
2+ years’ experience working in a multi-functional, agile product team environment/analytic delivery team
Our Preferred Requirements:
Ph.D. in Computer Science, Statistics, Mathematics, Physics, Engineering or related field or a combination of education and equivalent experience
2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting
2+ years of experience with executive presentation preparation and delivery
Expertise in open-source data science technologies such as Python, Spark, Hadoop, etc. acquired through college course work, online training and certification, or project development
Self-motivated with excellent verbal and written skills
Highly credible, organized, able to manage their time well, has great decision making and problem-solving skills
Familiarity working with Automotive OEM/ Ford connected vehicle data and 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:
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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 not 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
9974
Job Category
PRD - Data Mgmt - HTHD
Posting Date
03/30/2023, 08:20 PM
Degree Level
Master's Degree or equivalent
Job Schedule
Full time
Locations
20901 Oakwood Boulevard, Dearborn, MI, 48124, US
(Remote)
Preferred Degree
Master of Engineering
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Posted on 03/30/2023
Trending
Want to help drive the future of automotive supply chain operations? Join Ford's Supply Chain Analytics team! As a Data Scientist, you'll work with a curious, proactive, and creative team that's critical to Ford's success. By leveraging advanced data analytics and the latest tools, you'll solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of our company. If you're passionate, knowledgeable, and highly motivated, we want you on our team!
Research Data Scientist - Supply Chain Optimization
Dearborn, MI, United States
(Hybrid)
Posted on 03/30/2023
Trending
Join Ford's Supply Chain Analytics team and help drive the future of automotive supply chain operations. We're a curious, proactive, and creative team that's critical to Ford's success. As a Research Data Scientist, you'll work cross-functionally to identify and solve business problems, improve operational efficiency, and make data-driven decisions that shape the future of our company. If you're a passionate, knowledgeable, and highly motivated individual, we want you on our team!
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Quality Analytics Data Scientist | Ford |
Qualifications
The minimum requirements we seek:
Bachelor’s degree in Computer Science, Electrical Engineering or a related field
1 + years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.
1+ years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
1+ years experience in at least one of the following languages: Python, R, PySpark, Java, Matlab, C/C++, SQL, or similar languages.
Our preferred qualifications:
MS or PhD in Computer Science, Electrical Engineering or a related field
2+ years of experience with Python, SQL, Spark, Hadoop, or Google Cloud Platform
2+ years of experience with Machine Learning methods and tools, including but not limited to: linear and nonlinear regression, classification, and clustering (Relevant university course projects qualify)
1+ year of work experience (in a non-academic setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
Demonstrated ability in the application of Machine Learning to real-world industrial settings with large scale data
Experience with modeling frameworks, such as DataRobot, Domino, etc.
Proficient with version control systems such as Git, as well as agile software development and DevOps tools
Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets, is very desirable
Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
Familiarity with web development backend frameworks such as Python Flask or Java SpringBoot, and frontend frameworks such as Angular
Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal direction
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
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. Visa sponsorship is available for this position.
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.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-GSR-sal-plan-2.pdf
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.
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Data Scientist Sr Data Scientist | Green Dot |
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’. The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas. We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering and Model Risk Management to build and deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters or PHD in similar field is a plus
2-7 years of experience in data science or advanced analytics based on education/experience
Advanced understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.
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Data Scientist Retention | Gametime |
About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.
Job Description:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a data scientist, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.
What you'll do/own:
Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
Must Haves:
4+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Experience mapping and optimizing the customer journey
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience with a data visualization software
Working experience optimizing marketing campaigns and channels
Nice to Have:
Some experience with Python or R
Strong problem-solving skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
What we can offer you:
Flexible PTO
Equity
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Diverse Family-forming benefits through Carrot Fertility
Wellness programs
Tenure recognition
$115,000 - $130,000 a year
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Senior Data Scientist Supply Chain | Daily Harvest |
About Daily Harvest
At Daily Harvest we take care of food, so food can take care of you. We're committed to helping you nourish your body while taking care of the planet. How? By making it easy to eat more real, unrefined and sustainably sourced fruits and vegetables every day. Our team is collaborative, driven, and future-thinking. We're constantly learning, experimenting, and iterating, and celebrate failure just as much as success. We take risks, try new things, and we get things done. We love adaptogens and cruciferous vegetables but never say no to cake. Everything we do, we do in the service of our community.
Position Overview
Daily Harvest is looking for a Senior Data Scientist, Supply Chain to join our Data Science and Machine Learning team to work on supply chain challenges. In this role, you will be the team leader in ML applications to supply chain problems. Specifically, you will continue to improve our demand forecasting algorithm and introduce its next iteration, which should enable more portfolio management capabilities. You will act as the liaison between Data Science and supply chain/operations teams to identify high-impact opportunities and translate them into machine learning problems. If you get excited about forecasting, simulations, and linear optimization with a passion for business impact, then this role is for you!
What you’ll do:
Work with our supply chain and operations teams to identify our most pressing needs and develop end-to-end machine learning solutions
Develop ML-based demand forecasting and portfolio management tools to support supply chain optimization, inventory management, and demand forecasting
Work closely with the supply and operations teams to identify patterns, trends, and opportunities for optimization
Collaborate with cross-functional teams to design and implement data-driven solutions that drive operational efficiency and improve the customer experience
Design and develop statistical and machine learning models to forecast demand and optimize inventory levels
Build simulations to help stakeholders understand the risks of various decisions
Identify and quantify risks in the supply chain and develop strategies to mitigate them
Stay current with the latest developments in supply chain analytics and contribute to the company's thought leadership in this area
Lead and mentor junior data scientists and analysts
Who you are:
Minimum of 5 years of experience in a data science or supply chain analytics role
Deep focus on business impact and efficiency
Strong hands-on experience with at least two demand forecasting methods (e.g., ARIMA, Exponential Smoothing, Probabilistic Forecasting, Bayesian Forecasting, etc.)
Hands-on familiarity with various demand forecasting libraries (e.g., GluonTS, STAN, NeuralForecast, etc.)
Strong hands-on experience with linear programming and linear optimization (e.g., linear programing, mixed-integer linear programming, network optimization, etc.)
Hands-on experience building simulations either from scratch or using libraries such as PySim
Excellent analytical and problem-solving skills, with a strong attention to detail. An uncanny ability to take supply chain and other operations challenges and turn them into machine learning projects
Experience with our data stack: SQL, Python, dbt, Airflow, and Fivetran. Familiarity with the Google Cloud Platform ecosystem is helpful (e.g., BigQuery, VertexAI, etc.)
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
Experience leading and mentoring junior data scientists and analysts
Passionate about setting up and improving team processes around coding standards, MLOps, project management, and knowledge transfer
The anticipated annual base salary range for this role is $160k-$190k. Actual compensation will be commensurate with experience, qualifications, knowledge, and skills.
Benefits:
Unlimited PTO Plan + flexible working hours
Equity participation + 401K
Competitive medical, dental, + vision insurance
Fun IRL + virtual quarterly team events, happy hours, + DH team gatherings to celebrate our co-workers
Ancillary benefits: Commuter, Citi Bike discounts, + Health & Wellness Perks
Annual company retreat
Unlimited Daily Harvest in the office to keep you hustling, not hangry (...always stocked)
In office access to everything we create (including recipes in development)
At Daily Harvest, our mission is to take care of food, so that food can take care of you. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, color, religion, military or veteran status, sex, gender, gender identity or expression, sexual orientation, national origin, age, disability or genetic information. These are our guiding principles and apply across all aspects of employment.
CPRA Applicant Employee Notice and Privacy Policy
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Data Scientist Ii | Mindbody |
Our dream of revolutionizing the fitness and wellness industry is no small feat, and we're looking for talented people to make it a reality. When you join Mindbody + ClassPass, you’ll work with kind, intelligent people and enjoy unrivaled benefits. You’ll also share in a true culture of purpose and passion centered around helping people live happier, healthier lives. We’re not just another thriving company—we’re far and away the leader of our industry. So join the team, and let’s see what we can accomplish together!
Who we are
At Mindbody + ClassPass, we’re innovating for the future of wellness by bringing together the best of both sides of the market: Mindbody is the industry’s most trusted technology platform, empowering tens of thousands of wellness brands around the world with the software and resources they need to run and grow their businesses. ClassPass is one of the most popular apps for fitness lovers and self-care enthusiasts, partnering with over 30,000 fitness studios, gyms, salons, and spas around the world. We’re on a mission to create a wellness community for all—opening the doors to more authentic, local wellness experiences than ever before.
About the right team member
The right candidate should thrive in a fast-paced environment as agile, forward-thinking, and looking to grow along with the organization. Successful candidates will be strong individual contributors, comfortable with test design and execution, and possess an intense curiosity about marketplace dynamics. They should be able to distill complex ideas to stakeholders of all levels of technical fluency.
About the role
A career at ClassPass is an opportunity for you to join a rapidly growing company committed to helping over 1 million users across 20 countries reach their fitness goals.We have an exciting opportunity for an insightful and persuasive Business Analyst to work on the Pricing & Inventory team, which manages the two-sided marketplace between our users and our fitness & wellness partners and leads on testing new pricing and supply acquisition/retention strategies.This role builds models that drive strategic initiatives, supports Pricing & Inventory programs, creates dashboards to evangelize insights, and works cross-functionally to empower stakeholders with data.
Responsibilities
Engineer prediction models for user retentionOptimize anomaly detection models for early reporting of escalations and fraudProductize clustering algorithms for user segmentationRun A/B experiments to continue optimizing the businessAutomate reporting and insights for business partners to increase engagementDesign dashboards for internal stakeholdersCollaborate with Product/Engineering to productionize data flows that power user-facing products and servicesCollaborate with Marketing on targeting segmentation and lifecycle drip campaignsCollaborate with Analytics and BI to maintain data fidelity across various data warehouses
Skills & experience
3+ years experience as a data scientist building machine learning models for business applicationDegree in a quantitative field (Economics, Finance, Mathematics, Engineering)Strong knowledge of statistics and machine learningExperience with A/B testing Fluency in SQL and Python (preferred) or RExperience in DTC and/or Subscription business models Exposure to engineering best practicesSuperb communication skills, in speech and in writingGood organizational skillsDeep sense of intellectual curiosityUnderstanding of AWS services such as S3, Athena, RDS, IAM, ECS, and EMR Entrepreneurial spirit; comfort with ambiguity and a fast-paced work environmentStrong business acumen; can consider higher-level business context and thinking while still approaching analytical problems with technical precision and data-mindednessKnowledge and/or experience with BI tools (Tableau, Looker preferred)
Pay transparency
It is Mindbody’s intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Mindbody’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
The base salary range for this position in the United States is $106,000 to $120,000. The total compensation package for this position may also include performance bonus, stock, benefits and/or other applicable incentive compensation plans.
Have we piqued your curiosity?
Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
California Applicants Privacy Notice | UK/EU Applicants Privacy Notice
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Senior Data Scientist | Onestudyteam |
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OneStudyTeam Voluntary Demographic Questionnaire (Optional)
At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer" or simply skip the question.
To learn more about Reify Health's commitment to diversity, equity, and inclusion, please see our diversity statement and information about the BRIDGE Initiative.
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Senior Decision Scientist Core Data Analytics | 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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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, political campaigns, and businesses. 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 Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.
Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
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 internal 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.
In this position you will:
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Check data and modeling results for quality and 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
Support research development projects and data science project plans for clients and internal initiatives
Strive to support 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
Complete such other reasonable tasks as may be assigned by management
What we are seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Advanced understanding of a statistical programming language such as R, Python, or Julia
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Experience creating analytics output within a production-oriented team
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating informative and engaging data visualizations using industry leading tools
You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You can apply 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 respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button.
The ability to successfully attain and maintain a Federal Public Trust background investigation that our government clients require; this includes a requirement that the individual has U.S. Citizenship or U.S. residency for three of the past five years
Recruitment process
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready.
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
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
The salary for this position is $80,000 annually.
While we have an office in Washington, DC, 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. EEO is the Law (Link to external DOL site)
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Lead Data Scientist | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.• We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.• Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.What You'll Bring:
Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Experience and demonstrated success directly supporting internal or external clients over a period of at least three (3) years and at least four (4) years of professional experience performing analytic work, preferably in industries served by Transunion. These experiences may or may not overlap.
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity with Microsoft Office tools.
Ability to lead complex analytic projects under limited supervision. This may entail the design, development, and delivery of complex solutions in close coordination with TransUnion’s Sales and vertical support teams, and in direct communication with customers.
Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast-paced environment. This may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.
Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure.
Good verbal and written communication skills. Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes.
Ability to travel 10-20% of the time.
Impact You'll Make:This position is responsible for leading the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a good general understanding of US financial services risk management practices and familiarity with credit bureau data and solutions.
You will be a leading key contributor in internal and external cross-functional teams to drive new business initiatives and deliver long term, value-added solutions to TransUnion customers. These tasks will include –among others– the development of technical solutions to complex problems with a high degree of autonomy and limited supervision.
You will own analytic consulting responsibilities for a variety of clients, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.
You will lead complex custom analytic engagements in support of a variety of business use cases from start to finish; contributing to opportunity management (e.g. writing RFP responses), designing solutions, leading analytic developments, and seeing solutions through to deployment and on-going monitoring.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
You will provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.
You may participate in the interviewing and evaluation of new talent.
#LI-SG1#LI-Remote#DICEWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Sr Consultant, Data Science and Analytics
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Senior Data Scientist Ii | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.What You'll Bring:• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline• 3-6 years practical experience working as a data scientist applying machine learning to real-world problems• Great communication skills to articulate technical aspect of model development to internal and external customers• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc.• Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras• Proficiency in using query languages such as SQL and/or RedShift• Skill in applied statistics (distributions, statistical testing, regression, regulation, etc.)• Logical, evidence-based problem solving and critical thinking skills• Team focused attitude with evidence of supporting project team membersPreferred:• Exposure to credit or financial modeling• Working familiarity with cloud computing environmentsImpact You'll Make:• Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs• Researching and developing new approaches, keeping one's skills up to date• Testing new statistical analysis methods, software and data sources for continual improvement of quantitative solutions, implementing as needed• Processing, cleansing, and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results clearly• Communicating results and ideas to key decision makers• Creating clear and easy to understand documentation for models• Presenting ideas, progress reports and results to internal and external customers• Collaborating with a team lead to develop technical/business approaches and new or enhanced technical tools• Participating in collaboration for implementation• Completing all responsibilities as outlined on annual Performance Plan• Completing all special projects and other duties as assigned#DICE#LI-SG1#LI-Remote#ArgusWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Acquisition Exempt, Acquired Associate
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Senior Data Scientist | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. Our Data Science and Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.What You'll Bring:
Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least three (3) year of relevant professional experience; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Strong analytical, critical thinking, and creative problem-solving skills.
Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages and big data platforms (SQL, Hive, Spark, C/C++, Java); high level of familiarity with Microsoft Office tools.
Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking.
Strong project and time management skills with the ability to manage multiple assignments effectively.
Interest in internal and external consulting and ability to travel 10-20%
What we'd prefer to see:
Familiarity with identity, fraud, security, or credit bureau data and solutions.
Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
The desire to work on full-stack data science solutions and engage in continuous learning.
Experience processing large amounts of semi-structured (esp. JSON) and unstructured data.
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
Familiarity with graph databases, stream computing, or probabilistic data structures.
Experience with containerization and container-orchestration (esp. Docker and Kubernetes).
Experience with NoSQL databases, such as Cassandra or Elasticsearch.
Knowledge of various ETL techniques and frameworks.
Familiarity with data visualization methods and tools (D3.js, Graphite, etc.).
Understanding of massively parallel processing (MPP) and distributed computing principles.
Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.
Work experience in SaaS or real-time solutions.
Impact You'll Make:This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices.
You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design to development, to peer review, to client presentation, to implementation and audit.
You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.
You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
#LI-SG1
#LI-Remote
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Science and Analytics
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Data Scientist | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.The Automotive Data Science & Analytics - Senior Analyst role is a highly visible position responsible for contributing to a broad range of client engagements and collaborating with the Automotive line of business to execute new solution ideas. The role contributes to new revenue growth by generating solutions and market insights for new and existing automotive clients.What You'll Bring:
A graduate degree in the hard sciences with advanced coursework in statistics
2+ years of professional statistical modeling experience. Must have knowledge of processes involved in the development of models that can be used to predict risk or marketing outcomes
Expert proficiency with one or more statistical programming languages such as R or Python
Expertise in writing advance SQL queries for data extraction
Experience in a data visualization tool such as Tableau preferred
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to executive audiences
Efficient time and project management skills with the ability to oversee and manage project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations
Impact You'll Make:
Dig in by extracting data and performing statistical analyses on Big Data (using languages such as R, Python, and SQL).
Present data in form of analyses and reports using creative Tableau Dashboards and MS PowerPoint slides.
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; may lead key presentations to clients
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the integration of third-party data to enhance our TU automotive solution suite.
#LI-SG1#LI-Remote#LI-HybridWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Sr Analyst, Data Science and Analytics
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Bi Engineer Fraud Detection | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.The Corporate Investigations Department (“CID”) conducts investigations into instances of fraud, malfeasance, and account misuse, interacting with internal and external stakeholders across the enterprise. CID develops and implements industry-leading techniques in fraud prevention, detection and investigation.What You'll Bring:
Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent experience in related roles
Minimum 2 years experience working with relational databases using SQL, Hive, Dremio, Python/R or other data query, scripting languages and visualization tools like Tableau
Knowledge of statistical analysis, regression modelling and forecasting, data mining, financial analysis, and demand modelling, using statistical software
Experience in large-scale datasets, analyzing data to solve business problems, and presenting impactful insights
Requires a complete understanding of the business intelligence development life cycle including the ability to lead collaboration discussions to gather the needs for desired outcomes for the BI solutions being built
We'd Love to See:
Familiarity with latest cloud technologies and solutions
Experience in fraud solutions
Master’s degree in Big Data Analytics, Data Analytics, Statistics, or similar field preferred
Impact You'll Make:
Team up with Data Engineer in the innovation efforts of global technical development, deployment, and maintenance of the Fraud Detection & Monitoring Program using applicable data programming languages and visualization tools
Collaborate with business and process owners to assess business risks, analyze data and propose hypotheses for new fraud detection and monitoring rules
Perform exploratory data analysis to identify patterns and behaviors indicative of potential fraud, abuse/misuse or violations, conducted by internal associates and external customers
Design and develop dashboards that alert on pre-defined rules and logic
Implement temporary workarounds for any breakdowns in processes
Work closely with the Global Technology and Data Architecture teams and provide technical design recommendations on the data mart structures that support analytical applications
Create technical documentation and FAQs for operational instruction as well as presentations and project plans that will be shared with various audiences
Understand TransUnion’s products/services and partner with process owners to ensure technical requirements are prioritized, developed and delivered to meet specifications that will target fraud and misuse activities
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Asset Management
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Data Scientist Rwe Clinical Trials | Walgreens |
Job Summary:
The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to the VP of Scientific Affairs.
Job Responsibilities:
Assists in the due diligence on new real world data providers/vendors and drive RWD quality assessments to inform investment decisionsWorks to mine raw data sets to deliver standardized, analysis-ready patient cohorts from in house data assets or online licensed platforms, including generating hypotheses and analyzing data to test and interpret results standardized in close collaboration with the value and outcomes research and patient/market access team and help shape the analytics strategyPartners with other members of the Walgreens Clinical Trial team members to deliver actionable insights from real-world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential efforts include analysis of unmet needs (safe and effective therapy in certain disease states), treatment patterns and healthcare/economic burden data to support budget impact modelling and cost effectiveness modelingCleans, transforms and stores data into an integrated data lake for future analysis and broader team consumptionPerforms data mining and statistical analysis to analyze RWE/RWD in order to find new insights regarding patient populations and treatment outcomesSupports the development of real-world data, analytics and platform capabilities, applying cutting-edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companiesCollaborates on design and execution of outcomes research studies from a data science and analytics perspectiveEnsures high quality, rigorous and readily interpretable deliverables from RWE studies/analysesBuilds dashboards, analytics and reports for internal and external consumption.
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Data Scientist Statistician | Walgreens |
Job Summary
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Job Responsibilities
Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.
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Data Scientist | Saturn |
Saturn Technologies - Data Scientist
At Saturn, we’re on a mission to build community around the calendar. We’re starting in high school and help tens of thousands of users manage their time and stay better connected with friends. The majority of our users are active daily. We’ve raised more than $44 million in funding from General Catalyst, Insight Partners, Coatue, Jeff Bezos, Marc Benioff, and other top venture investors. If you’re looking to drive a major impact on an energetic and ambitious team, come join us!
To learn more about Saturn’s offerings on iOS, Android, and Web, visit joinsaturn.com.
About the Role:
As a founding data team member at Saturn, you will have outsized influence in steering the company’s direction and establishing data practices and infrastructure. We’re looking for seasoned and energetic broad-skilled data scientists who can range from impactful, opinionated business analysis to developing impactful data software.
Key Responsibilities and Expectations:
Ensuring partner teams are organized around the right operational metrics
Advancing the company through insightful analysis and research
Driving optimization through experimentation and machine learning
Contributing to data infrastructure and team best practices to increase velocity
Example Workstreams:
Evaluating which features and tactics are predictive of high schools' growth
Evaluating feature launches and usage
Developing a share/invite contact suggestions ranker
Developing our dbt model and automated reporting functionality
Optimizing ad spend
Candidate Qualifications:
3+ years of experience in data science, quantitative research, and/or analytics
Deep experience and second-nature fluency in: SQL, Python, Applied statistics and causal inference, and machine learning methods
Strong product and business sense and opinions
The ability to communicate complex ideas crisply
A team-first mentality and a leader and teacher to peers
An impatient bias for action
Saturn celebrates and embraces having a diverse team. We are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.
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Sr Data Scientist Marketplace And Merchandising | Splice |
About the role
We are looking for a Sr. Data Scientist to work with our Content, Merchandising, and Product teams to optimize the content in our Sounds & Gear marketplaces. In this role, you will define metrics that track engagement and user-centric outcomes in our marketplaces. You will help us understand what content is most valuable to drive engagement. Working in close partnership with Product, Design, and User Research, you will use analytics to discover patterns of user behavior and leverage these discoveries to build more relevant and impactful experiences for our users.
All of this means balancing ad hoc data exploration and longer-running analytical projects; designing and conducting experiments; bridging the gap between Product Managers and Data Engineers to assure that the necessary data is accessible and easy to use; aiding in the design of Product roadmaps to support our marketplaces; and building models that drive in-product experiences—e.g., personalized merchandising.
What we're looking for:
Data manipulation
We expect our Data Scientists to have strong analytical SQL skills. This means fluidity constructing statements that rely on a combination of joins, aggregate functions, subqueries, and window functions. This role will work with large-scale data, so this person must have experience writing efficient, performance-optimized queries.
Analysis
Nearly every problem starts with models that can be interpreted to drive human action. We’re seeking an individual who enjoys experimentation and statistical analysis—someone who can translate what they see in the data into useful suggestions. A thorough understanding of statistical inference is required.
Modeling
You should have hands-on experience building machine learning models (supervised and unsupervised) and know how to incorporate your models into production workflows and product experiences.
Tooling expectations:
Regular usage of a programming language typically used for statistical analysis and machine learning (ideally Python). Familiarity with a statically typed language (ideally Java or Scala) is desirable.
Strong experience with analytical SQL (ideally BigQuery, Snowflake, AWS Athena, or similar).
Exposure to large-scale model training in a platform like Spark is desired.
Hands-on experience with self-service product-analytics tools (e.g., Looker, Mixpanel, Amplitude, Heap).
Training in statistics, econometrics, or machine learning, with plenty of real-world experience applying these methodologies.
Exposure to a variety of data sets used by Product teams. Chiefly, large-scale event data (e.g., Mixpanel, Segment, Snowplow, server logs) and normalized transactional databases (e.g., e-commerce and subscription datasets).
Additional:
There are no specific degree requirements for this role: we appreciate and seek out diverse backgrounds. Instead of any particular formal education requirement, we’ll flesh out what you’ve built, what you know, and how you approach problem solving.
As a company that serves musicians and producers, some knowledge of the music-production process is an asset. If this topic is new to you, that’s okay—you should be open to learning about it.
Equal Opportunity Employer:
Splice is an equal opportunity employer, committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
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Data Scientist Product Analytics | Givelify |
Esteemed by over 1.5 million donors and 60,000 organizations, Givelify is a minority-owned FinTech-for-Good company on a quest to be the place where all giving happens, where good people come together to put more good into our world, leading with heart. In fact, Givelify’s mobile giving app consistently leads the App Store and Google Play in downloads, reviews and 5-star ratings amongst all giving apps.
If you are passionate about using data to inform business and product strategy or answering challenging questions that no one else in the world is tackling while driving philanthropy at scale, this is the job for you!
The Data Scientist will be embedded in our giving partner platforms teams and work cross-functionally to help drive experimental initiatives, leverage our understanding of givers behaviors and motivations to improve our fundraising products and grow generosity for our giving partners.
You’ll get to:
Use a deep understanding of data, our customers, and our unique industry to concretize ambiguous questions about our products and features into testable hypothesis that can be answered with data
Design experiments and interpret the results to draw detailed and impactful conclusions that drives product growth and feature adoption
Define how our teams measure product and features success by developing KPI and other business metrics in collaboration with products, engineering, and leadership
Develop data-informed business insights and work with cross-functional partners to find opportunities for product and business growth
Extracts data from various data sources; performs exploratory data analysis, cleanses, massages, and aggregates data
Provide technical contributions to ongoing initiatives to design and build a scalable and future-proof data infrastructure
Perform data informed customer segmentation to drive product marketing, feature development, business strategy
Complete data and analytic requests from giving partner teams
You should bring mad skills & experience:
Master’s or Ph.D. degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Advanced experience in SQL and R or Python
Advanced experience with experimental design and statistical methods for causal inference.
Validated experience with data mining, experience with dashboarding/data visualization (e.g., Tableau)
Strong data storytelling: ability to distill interesting and hard-to-find insights into a compelling, concise data story
Willingness to get your hands dirty with messy data to find opportunities and uncover insights
Plus These Superpowers:
Flexible and resourceful in responding to changing demands and meeting deadlines.
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
Technical leadership experience in a data/analytics team is a plus
Humble curiosity.
Customer Focus-Adopts a human-centric approach that meets or anticipates customers' need when developing solutions.
Effective Communication-Communicates frequently using clarity and appropriate methods/tools of communication.
Our People & Culture
We are a virtual team of high-performing professionals who innovate & collaborate to fulfill our mission to help people instantly find causes that inspire them to action so they can change the world – one simple, joyful gift at a time. Our culture of integrity, heart, simplicity, & that “wow” factor fuel our aspiration to be recognized amongst the tech industry’s most inclusive & purpose-driven workplaces.
We take great pride in providing competitive pay, full benefits, amazing perks (including flexible PTO), and most importantly, the opportunity to put passion & purpose to work.
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Data Scientist Finance | Gametime |
About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.
With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.
The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a data scientist, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.
What you'll do/own:
Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
Our ideal candidate has:
1-3+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software
What we can offer you:
Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Senior Data Scientist Brand Growth | Amazon |
DESCRIPTION
Job summary**Location is virtual; anywhere in the US is fine. Rest of the team is in NYC and Seattle.**Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!We are seeking a entrepreneurial, innovative and self-driven Senior Data Scientist to join our team, and build a brand new Advertising product together from the ground up. Your mission will be to leverage science and technology to help hundreds of thousands of independent sellers grow their business on WW Amazon marketplaces building customer loyalty. You will generate actionable business insights to help connect brand owners with reviewers and potential shoppers on Amazon websites and video channels (IMDB, FireTV, Twitch, Amazon.com etc). You can change the life of local business owners while taking ownership to solve technical challenge from delivering millions of global advertising campaigns and generating brand insights through 100s of internal and external integrators with superfast response time. Brand Growth is part of Amazon Advertising’s Advertiser Control and Experimentation (ACE) org with opportunity to deliver social impact, own technical problems, thought diversity, and business impact.As a Senior Data Scientist on this team you will:
Lead Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video ~ https://youtu.be/zD_6Lzw8raE
BASIC QUALIFICATIONS
Bachelor's Degree5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
Add to BQs:
Experience in as many of the following areas: causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis.Good understanding of supervised and unsupervised learning models.
PREFERRED QUALIFICATIONS
Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics and sophisticated user of statistical tools.Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.Experience in computational advertising desired, but not required.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Senior Data Scientist Analytics And Data Management | Amazon |
DESCRIPTION
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Analytics and Data Management team for Performance advertising organization is looking for a Sr Applied Scientist to play a key role in building its next generation analytics tools and solutions that enables and grows Performance Advertising business. As a Senior Applied Scientist, you will:
Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.Lead technical efforts within this team and across other teams.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.Run A/B experiments, gather data, and perform statistical analysis.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Work closely with software engineers to assist in productionizing your ML models.Research new and innovative machine learning approaches.Recruit Applied Scientists to the team and mentor scientists on the team.
A day in the lifeYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
BASIC QUALIFICATIONS
Bachelor's Degree5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
PREFERRED QUALIFICATIONS
Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics and sophisticated user of statistical tools.Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.Experience in computational advertising is a plus.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Senior Data Scientist Nlp Machine Learning | Coforma |
Coforma is looking for a Natural Language Processing (NLP) and Machine Learning (ML) focused Data Scientist to join our growing, distributed team.
The Data Scientist enjoys tackling complex problems while working with other members of our cross-disciplinary teams to deliver elegant solutions across a full, modern technology stack. If this is you, then you must be comfortable with evaluating and developing ML models, and explaining the impact and value of these models to non-expert stakeholders.
At Coforma, our technology teams are composed of engineers, designers, and product managers, and often participate in research activities to reduce friction and increase understanding and empathy. As such, your passion for articulating how to execute in the pursuit of doing what’s right is a feature, not a bug.
This role is specialized in developing, assessing, and iterating on natural language processing and machine learning models, in particular models for multi-label classification of free-form text. A successful candidate will be comfortable assessing existing trained ML classifiers for fitness and accuracy, and then either iterating on these models or developing replacement models better fit for critical people-facing processes. Your expert knowledge of NLP and ML classification systems will be applied to training the system on existing labeled samples, and validating model accuracy both before and after deployment. The system you help design, build, and train will operate at scale in real time.
Machine Learning based on natural language has many hazards including implicit bias and unintended discrimination. At Coforma, ethical use of AI is an important factor in our work. We value diversity, inclusivity, equality, and accessibility. The systems you design and build will consider and safeguard those values. A successful candidate will be able to discuss potential sources of discrimination in NLP and techniques to account for them.
Let’s build software that makes an impact, and let’s ensure the delivery of code that we can be proud to say we worked on together.
$128-148K Base Salary + Benefits + Growth Potential
What you’ll do
Collaborate with the product team, government/client stakeholders, and other contractors to build new systems and make improvements to existing systems
Design and spec out major functionality
Participate in planning, including breaking down requirements into tasks
Create AI/ML solutions supporting real-time inference and/or classification of critical free-form text
Work alongside AI/ML engineers in training, testing, and validating AI/ML solutions, establishing clear metrics to assess ongoing model accuracy
Safeguard against implicit bias and discrimination in your AI/ML designs
What you know
How to communicate complex technical concepts to non-technical audiences
Natural Language Processing techniques and tools
Writing clean, well-documented code for training and evaluating ML models
Designing and developing ML models for multi-label classification of natural language
Strong research and problem solving skills
Evaluating candidate approaches to analysis and extraction of free-form text
What you’ve done
4+ years experience developing and training NLP/ML models using common languages like Python and ML tools like TensorFlow or PyTorch
4+ years experience performing data analysis using tools like pandas, NumPy, Julia, or R
4+ years experience working with cross-functional teams to bring models into reality
Team & General Qualifications
Analytical – analytical skills and an ability to create systems
Planner – will anticipate what could go wrong when planning and coordinating, thoughtfully mitigating risks
Organized – will prioritize projects, complete tasks on time, and both document and share processes with others as needed
Cooperative – will work collaboratively with peers, top executives, and high-level contacts; cooperate with staff across different teams, departments, and expertise
Communicative – will communicate ideas and create personal relationships through writing and in-person exchange, customizing the delivery to the audience
Travel flexibility – will attend in-person meetings, workshops, trainings, and more on request and with advance notice as assigned to projects that require it (no more than 5-10%, with health and safety precautions being paramount)
Calm and nimble – will navigate a fast-paced environment and ambiguity, changing priorities, and unexpected project challenges
Autonomy – will to get work done fairly self-directed, requiring minimal supervision or direction from others
Continual learner – is committed to ongoing learning and knowledge sharing
Brand representative – will represent Coforma professionally and sincerely, modeling the company values to be and help others be collaborative, accessible, empowered, informed, ethical and responsible, values-driven, and transparent for the sake of accountability and community
Other
Internet – will prioritize and maintain access to strong, reliable internet for the remote nature of our work (except when on vacation/holiday)
Security – will keep the highest security practices to ensure privacy and security of Coforma and client information given the nature of our work (even when on vacation)
Must be legally authorized to work in the US now and in the future without sponsorship
Preferred Qualifications
Prior professional services, government, or federal consulting experience
Experience working on a remote team or remote freelancing
The ideal applicant will be comfortable in a fast-paced environment, flexible, innovative, and attentive to detail
Operational knowledge of the software development lifecycle
Experience in MLOps and deploying real-time models to critical production environments
Hands-on experience with AWS and/or Azure a plus
Passion for ethical use of AI
Experience with healthcare industry and terminology
We Don’t Care About
Whether or not you have a degree of any kind
Whether your educational major, if you had one, is related to this role
Whether or not you have GitHub contributions
Whether or not you have worked at a well-recognized company
We Do Care About
Your passions — professional or otherwise
Your well-informed opinions about technology, teams, and process
You
The annual salary range for this position is $128,000 – $148,000.
We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
This role is required to work from the contiguous United States.
We're Coforma
The stress of job searching can make you wonder if you’re enough. Studies have even shown that women and people of color are less likely to apply to jobs when they don’t meet every qualification. We believe that you ARE enough–and that it’s okay not to meet every requirement. We’re building a culture that’s authentic, inclusive, and diverse. If you’re excited to work with us but not sure you check every box, apply anyway! You may be just right for this or another role.
About Us
We use creativity to get results for clients and the communities they serve.
We’ve honed a modern, agile, user-centered approach that elevates human needs through thoughtfully-designed systems and products.
From connecting families in crisis at the US border to improving the way governments consume COVID-19 mobility data through a more accessible and user-friendly tool, we’re dedicated to improving people’s lives through thoughtful technology products and services. Together. Our cross-functional team works closely with each other and with our government, nonprofit, and commercial partners to research, design, and build better products and services.
Coforma employs over 90 talented creators. Our leadership has decades of experience in improving government digital services from a civic service mindset, and a strong record of developing innovative technology solutions for government, enterprise, and nonprofits.
We thoughtfully integrate design into product development. We are experts in leading the design and development of products to meet business goals, build alignment, and deliver value through technically feasible and iterative design activities.
Business objectives and human beings are at the center of our work. We work very closely and collaboratively with our partners, from solicitation through to delivery, to ensure that the solution provides a high level of value to the business. Accessibility is never overlooked in our work, and our iterative approach validates the utility and delight of the final product.
Equal Opportunity & Inclusive Workplace
Coforma is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, national origin, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination. As a federal government contractor, all employees of Coforma are required to be fully vaccinated against COVID-19 by January 4, 2022. Background checks and other security clearances may be required for some roles as it relates to the nature of our client work.
Our team and our office aims to be an accessible and hospitable place to work. We welcome applicants, contractors, and employees who are committed to improving our culture and practices.
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Senior Nlp Data Scientist | Lightcast |
An NLP Data Scientist at Lightcast works with the Product, Data, and Classifiers & Extractors teams to produce state-of-the-art models and enriched datasets that address our customers’ most pressing problems about the future of work. This is a senior, tech leadership role and will have a strong emphasis on mentoring the team and leading the team to deliver state-of-the-art document understanding capabilities. A successful candidate will have a strong knowledge of current NLP capabilities and a track record of delivering NLP capabilities at scale.
Responsibilities:
Work cross-functionally to define problem statements, collect data, build models, and make recommendations to stakeholders and technical leaders.
Keep abreast of advancements in the field and deliver state-of-the-art solutions.
Lead efforts to expand, augment, and enhance labeled datasets.
Work closely with Classifiers and Extractors Dev team and Data Engineering team to integrate models and deliver to production environments.
Spearhead model development for new and existing classifiers and extractors that process billions of documents at a time.
Champion the incorporation of new tools/methods/techniques.
Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively. Experience working with and designing continuous machine learning pipelines is required.
Manage large and/or complex projects to completion. Make business/technology trade-offs when appropriate.
Mentor a team of NLP data scientists and machine learning engineers with varying levels of experience.
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.
Knowledge, Skills, Abilities:
Proven expertise building NLP models with deep learning as well as traditional methods.
Awareness of and experience with current state-of-the-art language modeling architectures.
Experience with self-supervised and semi-supervised learning.
Proficiency with Python. Proficiency in the C programming language or similar (D, C++) a plus.
Experience delivering accurate, robust, and performant NLP capabilities at scale.
Credentials & Experience:
MS/PhD in Computational Linguistics, Engineering Mathematics, Statistics, Physics, Operations Research, or related field
5+ years of industry experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Strong experience with current NLP capabilities and delivering NLP capabilities at scale.
Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.
#LI-Remote
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Data Scientist Healthtech Algorithms | Pearl Health |
Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in America. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We launched Pearl Health because we believe primary care providers, armed with the proper tools and resources, can have an outsized impact in achieving high-quality, affordable healthcare. We foresee a shift to an increasingly value-based future where physicians and provider groups will participate in the value they create for the healthcare system and will increasingly require proper tooling, information systems, capital support, and technology to succeed in these models.
We are a team of physicians (Groups), practice-enablement experts (VillageMD, Steward, Stellar), technologists (athenahealth, TrialSpark, Flatiron Health) and health plan leaders (Oscar, Clover, Centivo) who believe that primary care providers (PCPs) are the key to America’s future health. Today, we support over 100 providers in value-based Medicare models and are on track to substantially increase the Medicare population we will be responsible for managing with our physician partners for 2023 (+$300M of Medicare benchmark risk). Our investors include Andreessen Horowitz and AlleyCorp.
What we hope you can do...
We are seeking a brilliant Data Scientist with a track record of propelling business strategies through analytical insights and algorithmic systems. Your work will be a core asset of our company, allowing us to more efficiently provide better care to our members and to create novel financial arrangements for each of our aligned physicians. You should be a strategic and analytical thinker, an effective communicator, an expert in analytical and data infrastructure systems, comfortable working with actuaries on complicated risk analyses, and performing sophisticated modeling exercises independently. We anticipate that AI, ML, and NLP will be central elements of our product, so you should have a deep familiarity with and passion for these technologies.
What a Data Scientist means to us...
Translate the company’s goals and vision into its strategy and operations by conducting sophisticated quantitative analyses while informing decisions about our infrastructure and approach
Help us change the future of work for doctors in America by applying state of the art technology solutions, including machine learning, natural language processing, and explicable AI - likely in partnership with key external partners.
Experience developing and deploying sophisticated algorithmic approaches to prioritizing patient care in a clinical setting (or comparably sophisticated spaces).
Support all business lines, including sales and business development, by enabling those teams to nimbly make data-driven decisions, balancing competing goals, and making difficult trade-offs when required.
Partner effectively with our Chief Product Officer and Chief Technology Officer toward best-in-class analytics systems to give our physician partners insight into their patient panels.
Support the technology needs of various departments by creating a data-literate ecosystem.
Who you are…
4-7 years of experience in performing results-driven quantitative analysis in a collaborative environment.
Degree in statistics, applied math, computer science, engineering or a related field.
SQL expertise and strong foundation in at least one of the main data science programming languages. Python is our current primary language and is preferred.
A proven ability to conduct research and empower data-driven aspects of our product through a mix of internal resources and external vendors, especially in AI, ML and NLP domains.
Experience collaborating with data engineering teams to define needs for an ETL pipeline and familiarity with the most common ETL tools.
Thoughtful collaborator, able to manage multiple demanding stakeholders, assimilate complex information quickly, and scope work in a way that balances deep insight and fast turnaround.
Prior experience working with healthcare data in any part of the industry (payor, provider, pharmacy, etc.); familiarity with population health data is preferred but not essential
The First 90 Days….
We aren’t the over-prescriptive types but to give you a sense of what we think we’ll do in your first 3 months together:
First 30 Days: Get your hands dirty really understanding the universe of doctors we will be partnering with in our first year in the Direct Contracting model. Help us profile risk, identify opportunities for performance improvement, and lay the foundation for the work we will do in the year ahead. Take a crash course in the still new DCE model to ensure Pearl’s continued leadership in understanding and explaining its value.
First 60 Days: Navigate the crucial launch window for the 2022 Performance Year where we will receive our first batch of data from our DCE partners and begin providing our service to our doctors. Become a subject matter expert on our datasets and define the measures we will use to guide our work throughout the performance year.
First 90 Days: Own the ongoing performance analysis and improvement process as we do both bespoke work with our practices and productize insights into the platform. Dig deep on the opportunities for growth within our existing universe of doctors and potential acquisitions for Performance Year 2.
Our Values
We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things.
We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment.
Covid-19
We are a remote-first company, largely congregated on the East Coast, with concentrations of team members at our NYC headquarters and in the Boston area. While the world is in lockdown, we’re all working remotely, but hope to facilitate more in-person time as the Covid situation improves. We expect a large part of our workforce to be remote after the pandemic ends.
#LI-Remote
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Senior Data Scientist | Cardiosense |
What you'll be doing:
Work with midsize and large waveform and patient datasets and apply advanced analytical methods to derive clinically relevant metrics and indications.
Conduct end to end analyses. Create requirements specifications, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines. Optimize database and computational resources for the data science team.
Manage a data science team. Work closely with engineers and managers to identify opportunities for design improvements and operational efficiency.
Collaborate with clinical research team to design end-to-end study infrastructure and pipeline to collect data from clinical sites.
Prepare and present statistical analysis of algorithms performance at academic and medical conferences.
Participate and engage in thought leadership working groups around the regulation of AI in clinical practice.
What we're looking for:
MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience
5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics
Deep understanding of both classical machine learning and modern AI/deep learning concepts
Ability to effectively communicate requirements, manage tasks, and relay results to management team
Experience with analytic database design and application
Understanding of good machine learning practice for medical device development (preferred)
Experience in team management or leadership (preferred)
Experience with wearable health sensors and related biometric algorithms (e.g. PPG, ECG, respiratory signals) (preferred)
Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Data Scientist | Northern Labs |
WHO WE ARE
Northern Labs is on a mission to lower the barrier to entrepreneurship in Canada and help companies grow to a massive scale. As a Venture Studio, we use our deep technology expertise, capital, and vast network to assist founders in turning ideas into viable companies.
We specialize in blockchain, fintech, marketplaces, analytics, and gaming, and partner with top-tier venture-backed startups to build out highly scalable, enterprise-grade products and platforms.
WHO WE’RE LOOKING FOR
We are looking for a skilled Data Scientist to leverage our internal platform data and public blockchain data to generate machine learning models to detect potential fraud and deliver insights to improve our business. Our ideal candidate is passionate about data and relentlessly pursues improvement in themselves, their work, and their team.
WHAT YOU’LL DO
Join an engineering-focused team building applications in the blockchain and gaming space
Create machine learning models for identifying fraud in payment processing systems
Identify, propose, and conduct analytics using machine learning with internal and external teams
Explore public blockchain data
Collaborate closely with data engineers and internal product and development teams
ABOUT YOU
3+ years of relevant professional experience in a data scientist or similar role
Programming skills in Python
Experience with creating, tuning, and implementing supervised or unsupervised machine learning models
Solid understanding of SQL
Experience with cloud-based data warehouses (Snowflake, Redshift, BigQuery, etc.)
Ability to operate in a fast-moving startup environment
Ambition, eagerness to learn, a positive attitude, and the ability to work within a team environment
Strong written and verbal communication skills
Familiarity with development best practices
BONUS IF YOU HAVE
Experience with blockchain technologies (bitcoin, ethereum, etc.)
Familiarity with Unix/Linux systems
Experience with financial systems and trading
Experience with payments processing
Experience communicating with remote teams or working in a remote environment
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Data Scientist Tech Lead Trusted Identity | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
Square's Payments Platform is an open, global financial services platform for developers who serve sellers. It provides the necessary components to manage identity, process payments across multiple channels, hold and transfer funds, and provide accounting, reconciliation, and reporting in a secure and compliant way.
You'll be the data science tech lead for Trusted Identity - the product organization that enables sellers to start taking payments with Square. Trusted Identity ensures that we know who we're doing business with and keep up-to-date with our sellers as their businesses change and grow. Customers rely on this platform to make it painless to stay within the bounds of the law regardless of how their business evolves. You will partner directly with engineering managers, product managers, and software engineers on Trusted Identity, and you will report to Wafa Soofi, manager of data science and machine learning for the Payments Platform.
You will:
Work directly with engineering, design, and product leaders to develop and execute a multi-year data strategy for Trusted Identity.Drive the Trusted Identity product roadmap via data-driven insights. You will work with product and engineering to ensure data models and instrumentation are in place, defining organizational north-star metrics, and interpreting those metrics for critical roadmap decisions.Monitor and optimize product experience and processes via automation. You will design and build schemas and data pipelines/ETLs, build dashboards, and design/run A/B tests.Direct the work of, and provide mentorship to, junior team members through feedback, coaching, and hands-on technical guidanceIdentify new opportunities for the data science team to pursue in partnership with product and engineering teams.
Qualifications
1+ year(s) of technical leadership experience in a data science or product analytics role5+ years of hands-on experience in data science and product analyticsExperience designing and executing a multi-quarter roadmap for a data team.Experience applying data engineering, data analytics, and data science techniques to business and product problemsExpertise with SQL, Python, and/or other analytics languages/tools and visualization
Additional Information
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, veteran status, 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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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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Staff Data Scientist Enterprise | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced data scientist to support the enterprise product area at Slack. The enterprise ecosystem is a critical component of Slack’s strategy to become an even more convenient and powerful tool for collaboration for full spectrum of async and synchronous work. It provides our grid customers with rich and enhanced experience on our platform with targeted features and integrations. In this role, you will work closely with the enterprise product organization to understand and improve the product experience of enterprise segment. As Slack builds out its next generation of enterprise experiences, you’ll work on unearthing insights that will help point to the direction of future enhancements. You will also help establish the foundational data infrastructure to enable success measurements. You will partner with researchers, designers, and engineers to uncover user experience gaps and opportunities. Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. What you will be doing
Apply various data science methods to understand usage patterns of grid customers
Perform evidence-based evaluations of the most important drivers of increased adoption of the enterprise specific features
Build out key success metrics and reporting for the enterprise product organization
Prototype foundational data pipelines and partner with the data engineering org to elevate these into canonical sources of truth for enterprise metrics
Identify and clearly communicate potential opportunities to improve the end user experience
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product strategy
What you should have
5+ years of data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools.
An advanced degree (MS, PhD) in a quantitative field (e.g. Stats, Maths, Computer Science, Economics, Physics, etc) a plus
Expertise in at least one programming language for data programming (e.g. Python, R, Scala)
Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow.
Comfortable and skilled at written and verbal communication to varied audiences
Experience collaborating with and influencing cross functional partners
Experience in building advanced data pipelines and designing data scheme and table infrastructure
A related technical degree required
Plus: Experience with statistical and machine learning methods to build non production models
For Colorado-based roles: Minimum annual salary of $150,200. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/*LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Karat |
We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud
Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.
The experience you will bring
3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
This is a full-time, salaried position. Immigration sponsorship is not available.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.).
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
Karat is an E-Verify company.
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Data Scientist Us | General Mills |
OVERVIEW:Do you see patterns or opportunities that others don’t see? Do you enjoying asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find the best way to tackle a problem and share the approach with others? General Mills is seeking a Data Scientist to join our Data Science, Digital and Technology team that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
KEY RESPONSIBILITIES
Develop novel ways to help business partners achieve objectives through analysis and modellingThink outside the box to identify and test new sources of information that unlock new business valueCurate and connect external data sets for broad enterprise-wide analytic usageBe a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teamsEngineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal resultsUtilize machine learning to create repeatable, dynamic, and scalable modelsHave passion to advocate and educate on the value and importance of data driven decision making and analytical methodsIdentify and develop long-term data science processes, frameworks, tools, and standardsBe a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
MINIMUM QUALIFICATIONS
Bachelor’s Degree required; 3+ years of relevant experienceComfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insightsExperience with Python and R, comfortable working with DataFramesAbility to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)Experience writing complex SQL queriesUnderstanding of data warehousing and databases is criticalExperience with data visualization toolsNumber sense, ability to identify questionable data, dig in and address itExemplary organizational skills with attention to detail and accuracyBias for action with ability to deliver outstanding results through task prioritization and time managementStrong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs
PREFERRED QUALIFICATIONS
Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred6+ years’ experience with at least 2 years of relevant experience in Data ScienceExperience with machine learningMathematical and statistical backgroundExperience with Google Cloud Platform or other cloud platformsExperience with Hadoop, Hive, and/or Spark
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States 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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Data Scientist | Be The Match |
POSITION SUMMARY:
Be The Match is looking for a Data Scientist to join our Data Analytics team. This role will report to the Manager, Data Analytics and will be instrumental in supporting the organization to achieve its five-year strategy. If you have ever desired to be part of a truly mission driven organization – now is the time!
The scope of work for this role will include model creation for various operational processes which is inclusive but not limited to the following: model selection, feature selection, model accuracy and measurement while providing transparency and collaboration with internal partners. The person in this role will provide input and analytics expertise to teams and leaders in the organization and serve as a leader to help drive adoption and acceptance of analytical approaches.
As a Data Scientist, you will also be expected to mentor and train other data scientists on technical solutions. This role will have the credibility and technical acumen to influence business stakeholders and peers by providing analytical insight and transparency throughout development. You’ll work directly with various cross functional teams to share insight and provide accessible statistical output. You’ll engage with stakeholders to review analysis and recommend additional data points and analytical techniques to be applied. This position can be remote (US) or hybrid. #LI-Remote #LI-Hybrid
Check out our video Saving Lives: It’s the Best Job Ever
ACCOUNTABILITIES:
Interpret data, analyze results using statistical and analytical techniques and lead cross functional working groups to share data and recommend strategies
Independently identify, analyze, and interpret trends or patterns in our data using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
Understand and articulate complex mathematical and computational learning concepts
Develop sophisticated custom data models and algorithms
Assist in the development of processes and tools to monitor and analyze model performance and data accuracy
Assist in complex analysis of business data to identify patterns and correlations among the various data points
Collaboration with key stakeholders and data partners to define data requirements needed to support the business processes, translate insights, and facilitate key decision making
Assist in developing process improvement solutions and systems that are designed based on data and analytics
Contributes to the design of new initiatives that require test and measurement before full implementation
Applies acceptable statistical techniques to ensure tests are properly conducted
Proactively leads in statistical data mining and other analytical tasks
Participate in projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills
Conducts risk assessment and offers options, when possible, to stakeholders
Acts as the source of unbiased data-supported insights to the organization; confidently challenges norms
Continue to support and work closely with data analysts as needed
Work in close collaboration with Senior Data Scientist
REQUIRED QUALIFICATIONS:
Knowledge of:
Strong computer skills including experience with Microsoft office software
Experience writing queries (SQL) and experience with large data sets and complex integrated systems
Experience using SAS, SAS JMP, R, Python, Uniex or Perl. Understanding of data quality methods, statistical analysis (SAS, R) and predictive modeling preferred.
Knowledge of programming tool like AWS cloud computing, Docker, Spark, Microsoft Azure ML
Data science, bioinformatics, machine learning, data mining, operations research, statistical modeling techniques and applications for high volume and complex datasets
Knowledge of best coding practices
Understanding of how to operationalize a model
Ability to:
Explain statistical concepts in easy to understand language to colleagues with little to no background in data analysis
Display data visually, creating powerful presentations and stories which effectively quantify and justify value created to both analytical and non-analytical audiences
Speak courageously, challenge ideas and propose alternatives
Grasp the diversity of our systems and network and the ability to make recommendations and implement solutions
Strong attention to detail and excellent organizational skills
Well- developed interpersonal skills dealing with people of different cultures and styles
Advanced communication skills to include writing and oral abilities to connect with a wide range of people
Demonstrate excellent analytical, problem solving with a strong customer focus
Manage multiple assignments simultaneously with minimal direction or supervision
Work and deliver under tight timeframes
Perform quality assurance/validation, innovate in application of methodologies, and troubleshoot and reproduce analyses.
Demonstrate coding and documentation skills and in-depth knowledge for handling of complex datasets.
Code in one or more of R, Python, and Java and learn or utilize others as needed.
Education and/or Experience:
Bachelor’s Degree in Computer Science, Bioinformatics, Economics, Statistics, Mathematics, Physics, Finance, or other quantitative disciplines. However, upon evaluation, equivalent related experience and/or education may be substituted for degree requirement.
A minimum of 3 years professional hands-on experience translating analytics including statistical modeling, data mining, and predictive modeling/forecasting into actionable insights
PREFERED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)
Master’s degree or higher
Experience in biosciences and bioinformatics preferred.
Proof of being up-to-date on COVID-19 vaccination, including a booster when eligible, with acceptable documentation is required for employment. NMDP will consider all requests for medical or religious accommodation.
Additional Information
Number of Openings: 1
Pay Basis: Yearly
Schedule: Full-time
Driver Policy: No
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Data Scientist Ii | Caterpillar E6Be1C0C A3A3 4B0E 9A2F 56Ea9932B440 |
Career Area:
Information Analytics
Job Description:
JOB SUMMARY:
For over 90 years, our products and services have helped improve the lives of people around the world. Our customers use our products and our services to build the basic infrastructure that enables higher standards of living so that people have access to water, electricity, roads, bridges, hospitals, schools and so much more.
The Data Strategy Data Scientist II uses quantitative methods such as data mining and advanced statistical techniques to solve business challenges for internal and external Caterpillar Financial customers. The Data Scientist II contributes to this mission by leveraging his or her quantitative analysis, data management, modeling, and data visualization skills as an individual contributor to project teams tasked with solving business problems.
Caterpillar Financial uses quantitative techniques to solve problems. Typical problems include enhancing customer solutions by delivering key insights to our business partners to determine the principal drivers to best align Caterpillar Financial products and services with our customers. The principal responsibility of the Data Scientist II is to be an independent contributor to a team of Data Scientists within the Business Excellence Division. This position has a depth of knowledge in quantitative analytic methods, data management, and associated digital technologies suitable to handle complex issues. Data Scientists are expected to be familiar with the company’s processes, products, and organization, as well as its internal customers. Work is typically directed by a direct supervisor, project, or team lead through a review of work requested by the business. Challenges include meeting expectations in delivering results, refining solutions from complex situations, making timely decisions, and communicating effectively with all project stakeholders. Enhance the stakeholder experience by fully understanding the data requirements, use Lean methodology to add value to the initial requirements, and communicate the enhanced data solution back to the stakeholder. Mentor and develop the capabilities and organizational knowledge of more junior data scientists and associates. Demonstrates thorough knowledge of statistical approaches, data management techniques, and related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they will exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Financial Products Division its products and services; its internal systems, processes, and procedures.
REQUIRED QUALIFICATIONS/EXPERIENCE:
Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of analytics experience utilizing quantitative analysis, or a Master’s degree and 2-3 years of experience. Incumbent will have exhibited the ability to work on increasingly more complex assignments and will have demonstrated teamwork, initiative, interpersonal skills, and the ability to communicate effectively. 2-4 years experience with Caterpillar, working with a different unit or working with different products, processes or systems is highly desirable. Excellent presentation, communication, interpersonal, and collaboration skills. Capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions and communicate effectively. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages such as SAS, R, Python, SQL, Business Objects, Tableau, Power BI and Alteryx. Candidates with experience on handing data in AWS and Snowflake is a plus.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Relocation provided
#LI #LI-Remote
Relocation is available for this position.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network here .
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Head Of Data | Coalition |
About the Role
Coalition’s mission is to protect the unprotected. To do this, we are reinventing an experience for organizations that helps them be secure in the uncertain world of digital risks. This means providing security at multiple levels: cyber, financial, and emotional through our innovative, end-to-end product suite. This product suite enables a new category that we are pioneering called Active Insurance. As the Head of Data Science at Coalition you will own our entire data platform and all of the ways that we derive value from it including analytics, machine learning, and artificial intelligence. Making effective and innovative use of our data is a fundamental pillar of our Active Insurance Strategy. Your organization will drive innovative end-to-end solutions from understanding our business requirements and historical data in the areas such as risk assessment, underwriting, and classification. You will collaborate closely with both engineering peers and business stakeholders. We are a human centric organization that is building for the long-term. We celebrate diversity and work hard to build a culture that is inclusive for all. Our culture is built around humility, purpose, authenticity, and responsibility. We have embraced distributed and remote work and our product and engineering teams are clustered in California, Washington, Colorado, Texas, and Portugal. Our ideal candidate will form insights and find innovative ways to meet current and evolving customer needs. We are looking for an experienced leader with a track record of successfully leading and growing a world-class data science and analytics organization.
Responsibilities
Build a world-class team. Hire excellent data scientists, machine learning engineers, and engineering managers. Mentor them and lay a clear growth path for your team.
Develop our data science strategy and vision. Your goal is to drive impact across different aspects of our business through innovative use of data science and machine learning
Follow and share industry trends in data science and machine learning engineering
Deliver machine learning models into production. Operate your services at scale with high operational rigor
Create, enhance, and maintain technical documentation for all aspects of our data platform. Use this to drive engagement in the organization
Work with executive stakeholders across the company to help incorporate company goals and initiatives into the vision and plans for your area
Make Coalition a better place by modeling our cultural values and taking on the unseen, unforeseen, and important items that come up along the way
Skills and Qualifications
Computer Science or Engineering degree, or a related technical discipline, or equivalent work experience
10+ years experience in data science, data analytics, and machine learning
5+ years management experience and must have led a multi-team data science or machine learning engineering organization
Demonstrated success delivering and operating machine learning capabilities in production
Bonus Points
Prior fintech or insuretech experience
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Data Scientist Underwriting Analytics | Coalition |
About the Role
Coalition is looking for a data scientist to join our rapidly growing data science team to find a solution to underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us identify and improve our underwriting system. you will be accountable for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing further automation opportunities.
This role requires an aptitude to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company.
Responsibilities
Evaluate our current underwriting practices and compare them against industry trends
Assess intricate processes and workflows to identify and implement improvements to increase productivity and improve cycle time.
Assist reporting, analytics, and machine-learning needs of the entire Underwriting team
Proactively drive conversations with key business stakeholders to drive continuous underwriting improvements
Guide the company's underwriting + pricing KPIs, assessments, and data visualizations
Assist the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems
Create and maintain documentation that will assist the effective implementation of repeatable processes and workflows
Spread data science top practices to both data science and underwriting team
Skills and Qualifications
2+ years of experience in a professional analytics / data science capacity
Experience writing SQL queries to extract and prepare data for modeling and assessments
Strong logical skills with the experience to collect, organize, assess, and disseminate significant amounts of information with attention to detail and accuracy
Experience to think objectively and interpret meaningful themes from quantitative and qualitative data
Experience to build constructive and effective relationships with a broad and diverse group of business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong communication skills and aptitude to convey intricate topics to non-technical audiences
Passionate about subjects such as experimental design, data visualization, and statistical assessment techniques
Bonus Points
Experience working in Tableau/Looker or similar data visualization tool a big plus
Experience within the insurance or financial services industry, with a focus on underwriting
Experience with Python or R
A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field
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Senior Data Scientist Css Workforce | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a people presence who values helping partners strategize data-driven projects? Do you relish the opportunity to dive headfirst into vast projects and contribute across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services (CSS) team supporting our Workforce Data Science organization, you will partner with important business leads, focus on some of the most exciting challenges Atlassian faces.
We understand and acknowledge that any one person may not have all of the below expertise. We encourage you to apply even if you do not satisfy every requirement.
Some examples of what you'll do:
Work with partner teams to improve efficiency in a scaling and changing customer support environment, bringing analytic capabilities and insights to bearPartner with our growing Talent Enablement team comprised of several diverse roles (learning enablement and development, talent tech, communications, change management and more) to deliver analytical insightsBe a people analytics specialist to serve our Customer Support employees by defining and implementing analytics solutionsTell compelling stories with data and analyticsDevelop partnerships with business, people, and operations leadersManage partner needs and serve as a powerful analytics champion to support growing a successful data cultureProvide technical expertise in data management, analytic and statistical methods, and data visualizationAddress challenges, performance bottlenecks and growth opportunities with analytic solutionsPlay the role of analytic expert across teams, focused on measurement of new strategies or projects, sizing of opportunities, and understanding of complex systems; always with a mind towards applicable insights and growth
Some skills and tools you'll use are:
Analytics: Statistics, data science, machine learning, data visualization, summary/aggregation methods, operational metric development, ongoing OKR measurement, experimental design, survey design, attribution, data engineering, data storytellingTools: Python / R, SQL, Tableau, Redash, IDEs (Databricks, Jupyter)Collaboration: Confluence, Jira
More about you:
You've worked with data daily and intimately for 5+ years and have a Bachelor's degree or equivalent years of experience.You have exposure to the HR side of an organization. You like to talk about what makes People Analytics different.You have experience with data science, machine learning, and predictive modeling and the associated statistical foundations.You have experience building end-to-end business-affecting analytic solutions and experience using data to influence operational, people, or human resources teams.You are comfortable combining different data sources together to obtain impactful insights from the data.You can break down technical concepts (like regression) to fit a non-technical partner. You've presented your work to leaders a couple of levels up.You can take an ambiguous assignment and deliver iterative value.You are comfortable using multiple tools and methods to find trends and correlations by mining data, and couple that with light-weight tests to prioritize how to propel through complicated problems.You love collaboration, working with other smart data professionals and acting both as a student and teacher with team members and partners.You've used your analytics skills to influence a major business decision. You can tie a measurable growth back to your own analysis.You can get yourself up to speed with new concepts quickly. You love learning (online courses, blog posts, reaching out to SMEs) and don't wait for instruction.You combine curiosity with critical thinking and judgment, and like asking 'why' to unravel a seemingly complex problem and get to the cause.You can gather, document, and interpret requirements, and always know how to ask the 'why' underpinning all requests.You think about the 'big picture' and can design a solution to support our needs. When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and lead ahead.Data governance, data security, sensitivity are important to you and underpin all aspects of your work.You can collaborate with other data scientists and have business acuity and analytics expertise to push through uncertainty and up-skill those around you.You understand the basics of data engineering and ETL automation enough to write your own SQL and work with pipelines.
More about our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly trying new things. We are a thoroughly collaborative team, who enjoys seeing others succeed, delivery great value, and learn from others.
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Senior Data Scientist Central Analytics | 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 90 billion 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.
As a senior member of the analytics team, you will deliver re-usable data products for use by executive, operations, partnerships, product, and engineering teams. You will collaborate with data engineers, data scientists, product managers, and operations analysts to develop and drive the data analysis strategy for Chartboost’s data platform. You will create re-usable, and easily maintainable data products, dashboards, design and execute A/B tests. Our data is massive ~4.3PB, with ~100TB ingested daily.
If you’re looking for the rare opportunity to solve complex challenges at scale and impact the ad-tech ecosystem in a meaningful way, you will find this role compelling and rewarding.
Impact you will make:
Deliver analyses and reporting to the leadership team to track achievement and performance of financial targets. Deliver weekly deep-dives on opportunities and gaps in business performance. Empower the leadership to make critical business decisions.
Design and execute A/B tests to compare performance of new features and strategies vs. benchmark. Empower product team to evaluate product performance.
Design and execute analyses to key operational questions to improve yield revenue, and profitability of advertising campaigns. Empower the operations and business teams to prioritize advertisers, and publishers and test operational strategies.
Define, prioritize and deliver analytics roadmap and product features based on business requirements.
Take ownership of the data and visualization strategy for the analytics team.
Mentor junior members of the team
Who you are:
BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
3+ years of experience as a data analyst ideally with 1+ years of experience in digital advertising
Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
Strong written and oral communication skills
Ability to work effectively in a fast-paced environment with changing priorities
Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact
Perks:
The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
Comprehensive medical, dental and vision insurance
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.
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Director Data Science | Atb Financial |
ATB Ventures: Building The Future Together.ATB Ventures is the research and innovation arm of ATB Financial. ATB Ventures was started back in 2018, knowing that the convergence of data with powerful emerging technologies such as blockchain, artificial intelligence, and machine learning would pave the way for major disruption and value creation that exceeded the digital transformation of the past 20 years.ATB Ventures is a team of developers, data scientists, product managers, and business operators who having been building emerging solutions from scratch - including Open ATB> Open AI, Open Data, API Sandbox, Oliu (Self-Sovereign Digital ID platform), Proof (Digital credential wallet) and more.ATB - ATB VenturesJob Number: REQ4930Location: Canada (remote)Paygrade: NSystem Title: Leader 9, Data SciencePositions available: 1Leader Name: Nav Dhunay About the role | What we are looking for... ATB Ventures is looking for a Director Data Science to join our Technology team and help build products of the future that leverage data and machine learning in our MVP products. In this role, you will leverage leading edge technologies and enable our talented team of data scientists to bring our ideas to life. You wear many hats with ease and continuously draw on both the breadth and depth of your expertise to experiment and develop meaningful solutions for the customers of tomorrow. You are an analytical thinker and enjoy working with deep tech, microservice architectures, serverless code, cloud-native software, and other cutting edge technologies. You have a deep understanding of fundamental architectural and coding design patterns and principles and evangelize their benefits with the data science team, while rolling up your sleeves to lead by example. Key competencies | What competencies we need in an ideal candidate… Strategic and systems thinking: You are someone who can design and build scalable systems with the capacity to support growth. You’re an analytical thinker with depth and experience in high impact data science methods and applications. You know how to work on diverse, interdisciplinary teams. You stand by your data - lending insights and providing causes for action.Customer-focused approach to solutions: You possess the ability to distill and abstract complex concepts into simple designs, easily understandable by customers and users.Growth and performance-oriented: You are someone who is focused on adding value, achieving revenue growth, and other outcomes. You don’t shy away from taking charge to get things done.Summary of responsibilities | What you will be responsible for day-to-day... Lead, motivate, mentor, and inspire a team of talented data scientists, data architects and data engineers - create learning and career paths for each of your direct reports. Implement best practices to drive efficient data/ML product development processes that integrate with other teams (e.g. software engineers). Lead team ideation sessions on data and AI based products and initiatives. Design, develop and deploy ML/AI algorithms & work with engineers to apply algorithms to products. Research and analyze data to find deep relations within data to be used in the ML/AI algorithms. Participate in code reviews, pair-programming, and other activities to promote mastery of data science practices. Support deployment of new data management processes and solutions. Work with the team to explore new ideas through experimentation, prototypes and fast feedback. Focus on open standards and open source before seeking a proprietary solution to a problem. Live, breathe, and work in the Cloud. Utilize Scrum and other Agile methodologies to complete tasks and accomplish workflows. As a teammate at ATB Financial, you will agree to uphold our values and Code of Conduct. Degree in Engineering, Science or related field at an accredited college or university. 5+ years experience in designing and developing data science solutions. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data mining experience including data auditing, aggregation, validation and reconciliation. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Knowledge with Javascript, Node.js, React, Webpack, Babel, and other leading-edge web technologies would be an asset. Self-starter, with the ability to establish OKRs, KPIs, milestones and keep projects on task and strong strategic thinking skills. Work in an agile environment with various stakeholders to iterate on value propositions for product development Bonus points if you’ve built a startup, can demonstrate your unique contributions to open source projects and/or have experience with human interfaces. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are what we are looking for, please consider applying.Interested? If you know one of our team members, BEFORE applying reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please reach out if you require any accommodations.Perks & Benefits | What can ATB Ventures offer you?Create the future: ATB Ventures offers a unique opportunity for creatives, innovators, and engineers alike to invent - and reinvent - how we experience technology. It provides the ability to work on a talented, anti-disciplinary team that rapidly experiments with ideas, products and technologies whilst being immersed in a culture that brings the best of both the banking and start-up worlds. Imagine excellent benefits, banking perks, opportunities for career advancement, and being at the forefront of the future – now you’re talking about a career with an organization and team that enables you to grow.As an award-winning employer-of-choice – we have the best of the best working not only for Albertans, but the world.Learn more about what we’re up to at ATB Ventures
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Associate Director Analytics Consulting | Tiger Analytics |
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Work directly with client stakeholders to translate business problems into high level analytics solution designs Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution 10-14 years of professional work experience with at least 5 years in data analytics Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Solid understanding of statistical and machine learning algorithms Strong project management and team management skills and ability to work with global teams Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business Analytics or MBA or equivalent work experience Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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Lead Data Scientist | 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. As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team. You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers. You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars: DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion. EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs. RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance. Productization: Maintain code which can be productise and packaged as python packages in any cloud environment. Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production. 5+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc). Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders. Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources. Strong data querying skills (SQL) and experience with a OOPs framework language (Python). Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development. Great teammate who enjoys collaborating with others. BENEFICIAL BUT NOT REQUIRED Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc 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. #LI-remote
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Senior Data Scientist 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. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. 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 solutioning. 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 that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements Bachelors Degree in Data Science, Computer Science, or related field 4+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred 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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Sr Director Data Science And Analytics | Webflow |
Webflow is a visual web development platform that empowers non-coders to create incredible experiences for the web. At Webflow, we are reinventing the way people build things online. With less than one-half of one percent of the world’s population able to write code directly, we’re on a mission to empower everyone to create for the web – and leading impactful, fulfilling lives while we do it. Since our founding, Webflow has amassed over 3.5 million active users, extended well beyond $100 million in annual recurring revenue, secured partnerships with top-tier investors including Accel, CaptalG, and Y Combinator, and built a diverse team of more than 500 distributed around the globe. We’re actively growing and are adding new team members in all departments who are excited about our vision to build the world’s most powerful no-code development platform.
We’re looking for a Sr Director, Data Science and Analytics to help us grow and evolve our centralized Data Science and Analytics team. The team works closely with strategic teams across Webflow; help to understand the complex questions facing the business and use data to guide strategic decisions. Our data informs us of how well we are progressing on our mission to empower people to build software visually. This team develops our connected understanding of capabilities and customer experience, promoting a centralized source of truth and building stakeholder partnerships to improve data literacy and inform Webflow’s strategy. The team creates data science and analytics and frameworks that provide scalable, accurate, and accessible information for anyone in the company to consume so we can make data informed decisions, track progress towards our goals, experiment and innovate with our product. As our data and organization matures, we are looking for a leader who can balance ownership of a strong, reliable data foundation with an eye for opportunity, setting a strategic vision that will scale our data capabilities to improve our product for our customers.
About the role
Location: SF-HQ or US Remote
Full-time
Exempt
As a Sr Director, Data Science and Analytics you’ll …
Lead Webflow’s Data team, comprised of data scientists, data analysts, and analytics engineers, to shape a data literate culture
Empower stakeholders to make data-informed decisions and roadmaps; align data partnerships within Webflow, guiding stakeholders with analysis and quantitative research and improving data literacy
Provide clear understanding of business drivers across teams including sales, marketing, product, and finance unlocking opportunities for growth and development
Define KPIs and metrics that map closely to business levers
Expand team strategy, identifying and executing high value data science and analytics opportunities where data can help drive Webflow’s mission and improve customer experience.
Strengthen data foundation, working cross-functionally to manage and evolve data architecture with business needs
Engage stakeholders at all levels of the organization, presenting data strategy to Sr Leadership, Investors and Board
Focus the data team on a high-value roadmap, balancing competing requests and high priority investigations with long term vision.
That said, these responsibilities are just the start! At Webflow, we encourage you to contribute wherever your interests take you — and shape your role accordingly.
About you
You’ll thrive as Sr. Director, Data Science and Analytics if you have:
Successfully attracted, developed, retained, and led high performing, cross-functional data teams at scale with 4+ years of experience managing data analysts, scientists, and/or engineers
A passion for and track record of leveraging data to understand and drive impact, especially in a SaaS environment
Ability to drive operational improvement across data science & analytics excellence, balancing creativity with measurable outcomes that align with the needs of a dynamic organization
Strong understanding of the modern data stack and a track record of scaling data products to match organizational needs. We use fivetran/snowflake/dbt/tableau and are exploring adding machine learning pipelines, improving BI solutions and working with data engineering on new near-real time streaming pipelines.
Experience identifying and prioritizing business needs, scoping business questions into well formed data projects.
Ability to write complex and performant SQL queries to extract data and coach teams in analyzing complex data sets
Experience navigating stages of data maturity, from building a reliable source of truth to leveraging machine learning to drive decisions at scale.
Ability to collaborate with and brief senior leaders with a wide range of technical understanding of data intelligence and data science
Identified ability to create data-driven business decisions
Ability to influence paired with strong stakeholder engagement skills that span both up and downstream
A track record in applying advanced analytics solutions to solve real-world business problems
Strong communication and presentation skills, including the ability to interact with and communicate with all level of employees and partners, and present information and recommendations to Sr Leadership, Investors and Board
Collaborative leadership, professional focus, and drive, comfortable directing the work of others and championing change
Ability to juggle competing priorities and maintain the team’s focus on high-value deliverables
Added bonus (but not required):
Proficiency in at least one programming language (Python, R, Java, Scala, Rust, Go or C/C++
Extensive experience with a cloud platform (e.g. AWS, GCP, Azure)
Experience with big data technologies like Spark & Kafka
Experience working with Docker, Kubernetes, CI/CD pipeline
If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
About us
At Webflow, we believe that what we’re doing doesn’t define our success -- so we focus on our “why” and “how”:
Our Mission
To empower everyone to create for the web — and lead impactful, fulfilling lives while we do it.
Our core behaviors (how we act)
Earn customer trust
Get it done, do it right
Practice candor with care
Dream big, ship often
Our commitments to you
We’ll pay you! This is a full-time, salaried position that includes equity
We’ll invest in your physical and mental well-being with health, dental, and vision benefits and a monthly stipend for health and wellness expenses
We’ll pay you to take a vacation … seriously. We’ll give you a $1,000 bonus for taking your first vacation with us that is more than 5 days
We offer flexible parental leave
We provide remote employees with the equipment they need to create a great remote work environment
We will offer you the support you need to help you grow as an impactful Sr. Director, Data Science and a human being
Ready to apply?
If you share our values and enthusiasm for empowering the world, we’d love to review your application! We promise we do take the time and care to review every application we receive. However, as much as we wish we could interview everyone who submits an application, we cannot guarantee an interview or feedback due to the unprecedented volume of applications we are receiving today. We are rooting for you, and hope you do consider applying.
Note: To join Webflow, you'll need valid U.S. or Canadian work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow requires all new employees to submit proof of their COVID-19 vaccination status as a condition of their employment. As such, your failure to timely provide such information, upon Webflow's request, may result in the revocation of your offer or the termination of your employment with Webflow, as applicable.
At this time, Webflow does not require fully remote employees to be vaccinated against COVID-19. However, you must be fully vaccinated against COVID-19 and provide proof of vaccination to work out of any Webflow office, visit an office, or attend any in person work events, including company off-sites, company sponsored social gatherings, and meetings. As such, at this time, we will only consider individuals who are fully vaccinated against COVID-19 for roles which require any in person work. If, due to the nature of your role, you are at any time during your employment required to work in person, but you are not fully vaccinated against COVID-19, subject to applicable regulations, your employment may be terminated.
We are committed to maintaining a safe and inclusive workplace, and our vaccination policy will evolve in response to the changing risks and regulations associated with COVID-19.
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Data Scientist | Keyme |
About Us
KeyMe is revolutionizing lockout solutions for homes, cars and businesses. Via artificial intelligence and robotics, KeyMe allows users to store, share, and duplicate their physical keys and RFID cards. Fully automated self-service key duplicating kiosks can be found in over 4,000+ locations across the country in major retailers such as Bed Bath & Beyond, Kroger, Rite Aid, 7-Eleven, Menards, AutoZone, and many others.
Additionally, KeyMe offers customers a one-stop solution for all their locksmith needs ranging from lockouts and re-keys to complex installations and custom jobs. All KeyMe locksmiths have extensive experience and are fully vetted to ensure our customers receive the utmost quality experience. With upfront set pricing, customers know they will never be confronted with last minute charges. KeyMe’s smart routing gives customers the ability to monitor their Locksmith’s arrival, job progress, and receive instant receipts. KeyMe is providing unrivaled service quality, prices, and customer experience into the $12B/yr locksmith industry.
KeyMe is an exciting, well-funded (over $150M raised to date), tech company that is solving real consumer pain points. KeyMe is proud to have an open, collaborative and relaxed atmosphere where bright professionals work hard and enjoy what they do. With the added benefit of a friendly, flexible and creative working culture, you’ll be joining a forward-thinking, expanding team to continue opening doors for our customers.
We’re committed to providing a diverse, equitable and inclusive workplace where team members from all backgrounds, ethnicities, cultures, and experiences feel welcome and thrive. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.
About the Role
The Data Scientist will join our growing Data & Analytics team to build models and conduct analysis across all of KeyMe’s business components, including senior leadership, operations, sales, and product development. The candidate will report directly to our Head of Analytics and work with our CEO, CFO and other senior leaders to improve access to accurate and actionable data insights.
What You’ll Be Doing
Building production quality machine learning models
Conducting ad-hoc analysis for executive leadership
Performing exploratory analysis to understand relationships and opportunities to improve business outcomes
Reviewing and improving models currently being generated and deployed in production
AB testing kiosk product enhancements
Refining our ELT processes
Building dashboards and reports
How We Know You Can Do It
2-4 years of experience as a practicing Data Scientist or Data/Analytics Engineer
B.S., M.S. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field
Good problem decomposition skills and autonomy when faced with solving data problems
Must have experience accessing and manipulating data using SQL and programming languages like Python and/or R
Experience deploying code and maintaining models through production lifecycles
Experience using version control to work collaboratively with others
Understanding of different statistical and modeling methods, how they work and when they should be leveraged
Ability to quickly iterate over common feature transformation and model types in order to build the best predictive models
Experience presenting complex analytical topics and findings to executive and non-technical stakeholders
Experience with analytics and business intelligence reporting (PowerBI, Tableau, etc)
Able to work independently and efficiently in order to meet organization goals
Extreme attention to detail
Must be able to multi-task and thrive in a fast paced environment
Proven ability to work effectively within a cross-departmental team
What You’ll Get
Compensation package that includes salary and stock options
Health, dental, and vision insurance
Remote budget to set up your home office
401K plan with match
Flexible PTO Policy
Flexible Spending Account (FSA)
Health Savings Account (HSA)
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Data Scientist | Yelp |
At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and local businesses around the globe, from a user reviewing a neighborhood coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners, and the general public.
The Data Science team performs analyses, builds models, and designs experiments that directly impact Yelp’s business and users. Our centralized team is the most wide-ranging consumer of data at Yelp, adept at tasks from modeling content growth and user behavior to sharing insights about the health of local economies. With varied backgrounds and expertise, we strive for learning and growth in a collaborative environment.
This opportunity requires you to be located in the United Kingdom.
We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
Where You Come In:
Define and build key metrics to track Yelp’s performance and inform product decisions.
Assess and frame questions from partners into actionable deliverables.
Design, execute, and analyze complex experiments impacting millions of users.
Devise and evaluate predictive as well as causal models for diverse business needs, such as identifying growth opportunities, exploring drivers of retention, and predicting what drives success at Yelp for businesses.
Own analyses from start to finish and communicate key insights to stakeholders.
Share your technical skills to develop and maintain high-quality, reusable analysis tools.
What It Takes to Succeed:
Several years of experience as a data scientist and industry experience in a quantitative role.
Fluency with SQL and Python for data analysis.
Enthusiasm for clean code and sharing reproducible results.
Solid understanding of statistical inference, experimental design, and analysis.
An eye for great data explorations using advanced statistical tools to draw meaningful insights.
Experience developing predictive models using statistical techniques.
Knowledge of causal model building, inference, and analysis.
Communication skills to work with partners on product, engineering, and other data science teams.
What You'll Get:
Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
£150 monthly reimbursement to help cover remote working expenses.
£75 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
£56 per month to use toward qualifying wellness expenses.
Quarterly team offsites.
#LI-Remote
Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
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Data Scientist M F D | Yelp |
At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and local businesses around the globe, from a user reviewing a neighborhood coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners, and the general public.
The Data Science team performs analyses, builds models, and designs experiments that directly impact Yelp’s business and users. Our centralized team is the most wide-ranging consumer of data at Yelp, adept at tasks from modeling content growth and user behavior to sharing insights about the health of local economies. With varied backgrounds and expertise, we strive for learning and growth in a collaborative environment.
This opportunity has the option to be fully remote throughout Germany.
We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
Where You Come In:
Define and build key metrics to track Yelp’s performance and inform product decisions.
Assess and frame questions from partners into actionable deliverables.
Design, execute, and analyze complex experiments impacting millions of users.
Devise and evaluate predictive as well as causal models for diverse business needs, such as identifying growth opportunities, exploring drivers of retention, and predicting what drives success at Yelp for businesses.
Own analyses from start to finish and communicate key insights to stakeholders.
Share your technical skills to develop and maintain high-quality, reusable analysis tools.
What It Takes to Succeed:
Several years of experience as a data scientist and industry experience in a quantitative role.
Fluency with SQL and Python for data analysis.
Enthusiasm for clean code and sharing reproducible results.
Solid understanding of statistical inference, experimental design, and analysis.
An eye for great data explorations using advanced statistical tools to draw meaningful insights.
Experience developing predictive models using statistical techniques.
Knowledge of causal model building, inference, and analysis.
Communication skills to work with partners on product, engineering, and other data science teams.
What You'll Get:
Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan.
30 days paid vacation per year plus one floating holiday.
€150 monthly reimbursement to help cover remote working expenses.
€89 caregiver reimbursement to support dependent care for families.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
Complementary elective German lessons for international employees.
€67 per month to use toward qualifying wellness expenses.
Quarterly team offsites.
#LI-Remote
Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
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Staff Data Scientist Feeds Ranking Analytics | Reddit |
Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are excited to open a new Data Scientist role within our Feeds Ranking Team! This team builds the experience of Reddit Feeds, by building and improving the systems that decide what content each user gets to see when they land in Reddit.
As the Staff Data Scientist embedded on the team, you will define the product strategy through measurement design, experimentation and causal analyses and support product decisions that will keep making Reddit the best place to hang out online.
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help drive community growth and discovery, and user participation and engagement.
Responsibilities:
Help build the long term product vision and strategy for the ranking and personalization function.
Become the expert at understanding how our recommendation systems work, and what their effects and outcomes on business metrics and the ecosystem of communities is.
Build out ML capabilities, features and offline models.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product feature experiments to understand the effectiveness of product strategy
Work cross functionally with a variety of teams that feeds ranking serves.
Scale your work through reproducibility to make it extensible to newer personalization problems
Required Qualifications:
Have proven experience in quantitative or data science, or product analytics roles (6 or more years)
Have worked with teams leveraging Machine Learning for ranking or related roles
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have a strong customer and business focus
Entrepreneurial and self-directed
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems
Benefits:
Annual Personal & Professional development funds
401k Matching Plan
Flexible PTO
Paid holidays + Wellness days
#LI-Remote #LI-NH1
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Senior Actuarial Analyst PC | Lemonade |
We’re looking for a senior-level actuarial analyst with a passion for data and insurance.
In this role, you’ll be managing rate levels, building advanced pricing tools, and bringing actuarial discipline to all kinds of questions — from distribution to underwriting, claims, and everything in between. You’ll also leverage competitive data and data science to optimize our customers’ experience and ensure fairness and accuracy in pricing.
In this role you’ll
Become an owner and expert on our insurance state rating plans and rate indications
Contribute to predictive modeling projects while working closely with the Data Science team
Craft rate filing support for new machine learning models
Identify areas for pricing and underwriting action based on ongoing monitoring of results
Build a knowledge base of competitor rating strategies and the overall competitive landscape
Further your own actuarial education through CAS exams and industry research while applying those learnings on the job
What you’ll need
3 years of P&C actuarial experience; near ACAS or greater preferred
Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related degree
General knowledge of data science programming languages such as R or Python (preferred), and proficiency in database query tools such as SQL
Familiarity with predictive modeling concepts, including supervised and unsupervised machine-learning approaches (GLMs, decision trees, gradient boosting machines, random forests, clustering, etc.)
Sensitivity to model transparency/ethics
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Gtm Staff Data Scientist | Twilio |
See yourself at Twilio
Join the team as our next GTM Staff Data Scientist!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to maximize the impact of a vast amount of data to generate actionable insights and build ML models to drive go-to-market efficiency. You will help lead the growing data science team and have experience delivering end-to-end machine learning projects. You thrive on ambiguity and enjoy the frequent pivoting that comes with that exploration. You are passionate about applying practical machine learning to go-to-market use cases that drive sales efficiency and productivity.
Responsibilities
In this role, you’ll:
Apply artificial intelligence and machine learning techniques to drive sales efficiency and productivity (e.g., by building models like new logo propensity, next-best-product recommendation engines, etc.).
Extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from diverse sources.
Mentor a team of junior and senior data scientists.
Interact and collaborate with cross-functional teams (Sales, Marketing, Finance, and Product) to define requirements and propose new ML models to drive business impact.
Provide and inspire data science innovations that fuel the growth of sales and Twilio as a whole.
Provide technical data science leadership across multiple teams to help guide data-driven strategies.
Understand and teach proven methods and hacking skills in working with divergent data types at scale.
Provide GTM and Sales stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings and fully exploiting the insights revealed through the research.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
BS, MS, or PhD in an appropriate technology field (Data Science, Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
4+ plus years experience in data science, with a focus on predictive modeling.
Expertise in Python, with expert command of machine learning libraries.
Strong proficiency in SQL.
Expertise in machine learning and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
Experience with the full end-to-end data science lifecycle : Requirements gathering, Feature Engineering, Feature Selection, Model Building, Model evaluation, Model Deployment.
Impeccable attention to detail and strong ability to convert complex data into insights and action plans.
Able to effectively communicate a vision and inspire others to innovate.
Desired:
Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required.
Location
This role will be remotely based in the United States.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:
The estimated pay range for this role, based in Colorado, is $145,520.00 - $181,900.00.
Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Principal Data Scientist | Smartasset |
About Us:
SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek, and Barron’s.
About the Team:
At SmartAsset you will join a team of data scientists that are at the forefront of AI/ML applications for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing team of Data Engineers, and Data Analysts.
You will identify opportunities, create roadmaps, and deliver data-products that will have an enormous impact on the business from week one.
About the Job:
As a Principal Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on leading the deployment of real-time ML models through micro-services and/or Feature Stores, and on model monitoring. You will help to design data science roadmaps, mentor junior data scientists, and lead the adoption of good practices across the whole team (unit testing, model versioning, model monitoring, etc.).
You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations, working cross-functionally with other business leaders.
Skills/Experience You Have:
Experience leading multiple domains in a company, delivery of models working with cross functional teams, proven ROI returns for business
Proficient in Python (pandas, numpy, matplotlib, scikit learn, tensorflow, etc) and SQL.
Professional experience with the development and deployment of predictive models (both batch and real-time), with an emphasis on Recommendation Systems and Time Series (SARIMAX, DeepAR, LSTM, Prophet, …).
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, and containerization.
Professional habits around model validation, testing, and tracking.
At least 8 years of relevant working experience. Strong quantitative background.
Skills/Experience Preferred:
Experience with ML services like Feast, FastApi, AWS Sagemaker, DataBrew, Feature Store and with common Data Warehouses (e.g. SnowFlake).
Experience with model monitoring (drift / performance, confidence intervals, …).
Comfortable in working on the line between data science and data engineering and mentoring junior colleagues.
An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing long and short term solutions.
Available Benefits and Perks:
All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the US.
Medical, Dental, Vision - multiple packages available based on your individualized needs
Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
FSA: Medical and Dependant Care
401K - 3% match with immediate vesting
Equity packages for each role
Time Off: PTO, 3 Month Paid Parental Leave, Secondary Caregiver Leave
EAP (Employee Assistance Program)
Pet Insurance
Short-term and Long-term Disability
Home Office Stipend
Health and Wellness Stipend
Monthly Food Delivery Stipend
SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
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Senior Data Scientist | Carbon Health |
At Carbon Health, we believe in the power of health, of medicine, and of technology. We’ve built a diverse and passionate team of employees who are all driven to learn from one another and reach Carbon Health’s mission of making great healthcare accessible.
• Ranked on Inc. 5000's list as the 2nd-fastest-growing private company in the U.S. in 2021
• Recognized as a LinkedIn Top 50 Startup in 2020
• More than 125 clinics in 16 states and growing with a goal to reach 1,500 clinics nationwide by 2025
COVID Vaccination Requirement for Candidates Seeking Employment: Carbon Health, as both a healthcare provider and a federal contractor, is subject to certain laws, regulations and orders requiring its workforce to be fully vaccinated against COVID-19 and its variants. Carbon Health has therefore implemented a requirement that all employees be fully vaccinated. Candidates seeking employment with Carbon Health will be required to: (1) be fully vaccinated against COVID-19 and its variants by their start date unless a medical or religious exemption has been approved and a reasonable accommodation has been granted; and (2) submit proof of vaccination prior to their start date. The preceding is a condition of employment with Carbon Health.
As a Data Scientist at Carbon Health, you will partner closely with various teams to deliver high-impact data products, drive actions by providing visibility into the state of care and operations, and implement and evangelize reliable data processing and interpretation practices. Given Carbon’s focus on healthcare accessibility, this role offers one of the rarest opportunities to apply data science on unique and evolving datasets to solve real problems at scale, reaching over a million patients.
WHAT YOU’LL DO
Collaborate with orgs such as Engineering, Product, Design, Support, Operations, Finance, and Marketing.
You will have the opportunity to deeply understand entire product lines.
Architect and implement efficient data warehouse models and semantic layers with query optimizations in mind.
Define performance metrics and conduct experiments to drive business goals across Primary, Urgent, and Virtual Care, delighting our patients, providers, payers, and employers.
Work closely with Machine Learning, Data Engineering, and Data Analyst teams to build and deploy innovative models end-to-end, serving products such as our in-house Clinical Decision Support System.
Communicate results of analyses in a clear and actionable way to stakeholders.
Foster a culture of learning within the organization; demonstrate a strong team-player mentality to cultivate cross-functional collaborations.
ABOUT YOU
5+ years of experience in data science, data analytics, statistics, operations research, capacity building, or equivalent quantitative field.
Prior experience in healthcare is preferred.
Proficiency in SQL and Python data processing (pandas, sklearn).
Experience with development tools and platforms such as dbt, Jupyter Notebook, Snowflake, Looker, AWS.
Committed to excellence in data governance, analytics, and engineering.
PERKS
Forward-thinking, transparent, and inclusive company culture
Competitive salary, generous paid time off, learning time off, and paid holidays
Comprehensive benefits package including medical, dental & vision Insurance with 100% of monthly premium covered for employees & 80% for dependents
401k with employer match, FSA, HSA, and dependent care options
Employee referral bonus program, employee resource groups, and professional development through Udemy Business
#LI-SI1
#LI-Remote
Carbon Health is a leading national healthcare provider with a mission to make high-quality healthcare accessible to everyone. We offer primary and urgent care to nearly two-thirds of the U.S. Leveraging our unique technology platform, we provide patients with omnichannel care, designed to meet them where they are by delivering care across a variety of access points, including in-person clinics, virtual care and remote patient monitoring (RPM). Carbon Health also focuses on value-based care and other value-add services to employers, health plans, health systems and other ecosystem partners.
We recognize that the key to success lies in valuing the minds, experiences and perspectives of people from all walks of life. Carbon Health is proud to value diversity and be an equal opportunity employer. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with arrest and conviction records.
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Data Science Manager Demand Forecasting | Thrasio |
Wild Thinkers Welcome
Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.
We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.
From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.
Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.
The Role
As a Data Science Manager on the Demand Forecasting team, you will own a demand forecasting system at the center of inventory, promotions, pricing, and marketing decision-making across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world-class automated decision-making through accurate and timely demand forecasts, a fundamental part of Thrasio’s long-term success and continued market leadership.
Responsibilities
Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context.
Partnering closely with the pricing, promotions, supply chain, and marketing science teams to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business.
Developing distributions around your forecast via either parameter estimation or non-parametric bootstrapping techniques to power automated robust optimization systems.
Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing.
Driving strategic initiatives across the broader org as a leader at Thrasio.
Owning team development cycles, managing risk, and bringing stakeholders along for the ride
What You Bring To The Party
Masters or Ph.D. in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc.
5+ years (Masters) or 3+ years (Ph.D.) of practical experience working with demand forecasting systems (ideally in e-commerce).
Expertise in some of statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT).
Proficiency in Python or R, SQL, Git
Nice To Have, But Not Required
Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams).
Familiarity with Databricks, Snowflake, Spark (or other forms of distributed computing).
THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.
Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.
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Data Scientist | Smartbiz Loans |
2021 Top Small Business Lending Platform Award by LendIt Fintech
Overview
SmartBiz is on a mission to transform small business lending.
SmartBiz is the leading AI-powered small business financing platform equipping entrepreneurs with access to the right capital at the right time. To date, we’ve connected borrowers with more than $9 billion in funding while increasing efficiency for our network of banks and trusted lending partners. More than 230,000 entrepreneurs have utilized our platform to access the funding they need to grow, with 60% of loans made to minority, women, or veteran-owned businesses.
Data Scientist
Do others describe you as curious or inquisitive? Are you a person who loves to learn and always seeks to understand the why, how, and what? Then let’s talk about a Data Science opportunity on our team. SmartBiz has channeled over $9 billion of capital to over 230,000 small businesses across the country; those business owners rely on us to deliver meaningful recommendations and insights.
You will join a quickly-growing team of Data Engineers and Data Scientists to drive insights, improve automation, and build financing recommendations for small businesses. You will help cross-functional teams make better decisions with data, faster. If you are motivated to help small businesses and excited about gaining insights from data, we'd love to help you take the next step in your career.
How You Will Make An Impact:
Leverage data and modeling to drive product success by identifying and solving ambiguous questions
Conceive, develop, and execute projects to increase accuracy, automation, and customer satisfaction
Deeply understand the data and business context to build and measure useful statistical and machine learning models
Create key product metrics and performance indicators to risk and meaningfully contribute to profitability and customer satisfaction
Effectively communicate and collaborate with a cross-functional team of stakeholders
What We Are Looking For:
3 - 7+ years of experience analyzing large data sets to solve problems and drive impact
A degree in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
Expert knowledge of a scientific computing language (Python or R) and SQL
Strong knowledge and hands-on experience with machine learning, statistics, and experimentation
Experience in building scalable ETL solutions utilizing SQL, Presto, Spark, and other tools
Experience in working with multiple cross-functional teams to deliver results
The ability to communicate results clearly
Experience with underwriting, credit models, or other financial instruments is a plus
Opportunities & Benefits We Will Provide:
Join us on the journey as we target an IPO in 24-36 months
Help redefine small business banking
Competitive salary and equity in a fast-growing start-up
100% paid medical, dental, and vision benefits for you and your dependents
100% paid life and disability insurance
401k plan
Work from anywhere in the United States; we're a fully distributed company, and we provide the tools, culture, and support to make your work setup work for you
More About SmartBiz:
60% + of the loans funded by our banks are for women-owned, minority, or veteran businesses
Great Place to Work Certified, August 2022 - August 2023 USA
American Banker's Best Places to Work in Financial Technology in 2017, 2020, and 2021
TechBullion named SmartBiz as one of the 5 Best Fintech Companies to Work For in 2019
#313 on the Inc. 5000 list of fastest-growing private companies in the U.S. in 2018
Named one of the Best Places to Work and one of the Bay Area’s Fastest-Growing Private Companies by the San Francisco Business Times
A+ rating with the Better Business Bureau and rated "excellent" by review websites TrustPilot, Consumer Affairs, and Google
The company has raised $47 million in venture funding. Investors include Venrock, Investor Growth Capital, and First Round Capital.
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SmartBiz Loans is an Equal Opportunity employer and proud to provide equal employment opportunity to all job seekers without regard to any status protected by applicable law.
California residents can learn more about how we use your information by visiting https://sites.google.com/view/smartbizloans-employment-ccpa
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Data Scientist | Amwell |
Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. We offer a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 150+ health systems comprised of 2,000 hospitals and 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
Working closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity. S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
Core Responsibilities:
Support development of scalable and automated analytic processes and workflows
Support development of ETL data flows
Ensure quality and accuracy of data
Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
Support development and deployment of statistical/machine learning models
Support design and execution of experiments
Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
Analyze data for anomalies and early indication of bugs in deliverables
Build intuitive and modern analytic products, including incorporating data visualization best practices
Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Qualifications:
Bachelors or higher in a Quantitative Analysis field (e.g. Mathematics, Statistics, Economics, Engineering, Computational Sciences)
2+ years of experience as a data scientist/applied statistician (e.g. building advanced statistical and machine learning models)
2+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
Basic to intermediate knowledge of mathematical statistics
Proficiency with Python (preferred), or other high level data analytic programming languages
2+ Years of experience with visualization tools in a development and report/dashboard building role. Looker experience preferred.
Knowledge of BI tools (e.g. Looker, Domo)
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Familiarity with the health care industry is a plus
Additional information
Your Team:
Energetic, forward thinking, and resourceful are a few words that describe the Product Management team at Amwell. This innovative team of 12 manages the product roadmap, designs experiences that delight users, and works closely with current and future customers as the product experts of the Amwell family. Each member of this dynamic group works very collaboratively, communicating the product’s value across all other Amwell teams and to our customers.
We enjoy working with colleagues inside and outside of the organization, and making our ideas come to life! If you love technology and want to be surrounded by a team of intelligent, fast paced and energetic team members, this may be the team for you! Come join the excitement!
Working at Amwell:
Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic.
Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.
Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community.
Amwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration and client meetings. We enable our employees with the tools, resources and opportunities to do their jobs effectively wherever they are! Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.
Unlimited Personal Time Off (Vacation time)
401K match
Competitive healthcare, dental and vision insurance plans
Paid Parental Leave (Maternity and Paternity leave)
Employee Stock Purchase Program
Free access to Amwell’s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic’s second opinion program
Free Subscription to the Calm App
Tuition Assistance Program
Pet Insurance
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Product Data Scientist Senior And Staff Levels | Mozilla |
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1691
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Data Science Tech Lead Data Products | 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. More than 10,000 customers cut their expenses by 3.5% per year and closing 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 at an increasingly large scale, 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.
About the Role
Come lead the future of production data science at Ramp! The Data Science team at Ramp creates value by optimizing core leverage points across the business to enable better insights and build better products. You will build the first iteration of customer facing data products such as price intelligence, merchant categorization, savings insights, and more. Ultimately, you will leverage millions of data points across transactions, users, businesses, and merchants to build the core platforms and services that allow Ramp to save our companies time and money.
You will need to have a head for product development & cross-functional collaboration, since you will partner closely with business 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 services in production.
What You’ll Do
Full stack data science product development: from project conception, to 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
Architect and define the required technical platforms that enable us to build data science products and services at scale
Manage the upstream and downstream relationships and SLAs with frequent data science collaborators: analytics engineering, data engineering, product engineering, as well as third party vendors and software providers
Lead solutions on tough data science problems around NLP, forecasting, recommendations, human-in-the-loop systems & processes, and more
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, Machine Learning Engineer, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery); experience working with large datasets in Python
Ability to build standalone data science products/services and to work cross-functionally to deploy and monitor in production
Experience with the nuts-and-bolts of machine learning: custom loss functions, stochastic gradient descent, backtesting frameworks, etc
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
Experience deploying NLP classification, recommendation services in product environments
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with MLOps/infra required to build and scale low latency customer facing data science services experience with Databricks, MLflow, AWS (Sagemaker, Redshift, ECS, Fargate, Load Balancer, EMR) or equivalent
Experience at a high-growth startup
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
OneMedical annual membership
401k (including employer match)
Please note only 401k contributions made while employed by Ramp are eligible for an employer match
Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support
|
Data Scientist | Lyra Health |
About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.
About the Role
At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system. We are looking for an experienced Data Scientist with a minimum of 3 years of professional experience (academic/internships alone will not qualify) who cares about clinical quality, impact, ownership and cross functional collaboration.
*This Data Scientist role can be full-time in our Burlingame, CA headquarters, OR virtual (remote candidates must be currently located in the United States).
As a Data Scientist on this product-facing team, you will...
Work closely with Lyra’s product and operations teams to deliver a great provider experience - one that combines their technology acumen with an emphasis on client skill development - a practice that is differentiated, short-term, and cost-effective.
This includes guiding a client during a difficult experience, and increasing alliance to, and adherence with, our programs/shared decision making tools, allowing for a truly interactive in-session experience.
Create frameworks to monitor and report on the performance of in-session features and tools, and discover actionable insights about the provider experience that our internal teams will leverage to enable our platform to be more engaging and efficient for our providers.
We will also look to you to provide input on business strategy, including generating insights on how we can continue to grow Lyra’s provider network.
Lyra is for you, if you...
Have a passion for data analysis, and want to leverage your work to benefit the mental well-being of our clients.
Want to work with brilliant people solving hard problems
Have a passion for social impact and helping people when they are most vulnerable
Like to collaborate across teams with physicians, therapists, data engineers, and product managers
We are looking for someone with...
MINIMUM of 3+ years of professional experience in data analysis, preferably in a healthcare industry setting.
Preference for individuals who have experience in product analytics and have partnered with Engineering/Product teams in prior roles.
Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).
Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions and automate.
Strong SQL proficiency, including experience writing complex queries with multiple schemas and tables.
Experience developing comprehensive analyses using diverse data sources. Experience with Tableau is a plus.
Willing to self-start, self-teach and research if you don’t know how to do something.
Strong communication/interest in understanding the whole business and collaborating across multiple functions.
Graduate-level Statistics coursework, with MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences) or equivalent professional experience.
Diversity & Inclusion
Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.
People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/
#LI-REMOTE
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability, genetic information or any other category protected by law.
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Data Scientist | Sentilink |
SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.
We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.
As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
This is a remote, US-based role.
Responsibilities:
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring
Research new types of fraud and develop new SentiLink products around identity verification
Write production-ready code that can be relied on for real-time decision making by our partners
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts
Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access
Requirements:
2+ years relevant work experience and PhD or Master’s in a technical field or 2+ years additional relevant work experience
People who generate creative ideas that provide our competitive advantage
Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
Ability to design, perform, and present thoughtful statistical analysis with business-changing implications
Experience writing production code and tests
Understanding of different machine learning models and their trade-offs
Detail oriented and thoughtful -- someone we can rely on to make business-changing decisions
Ability and desire to take initiative and follow projects through to completion
Bonus for familiarity with: fintech or adjacent industries; identity solutions; distributed computing frameworks; data engineering; AWS
Candidates must be legally authorized to work in the United States and must live in the United States
Perks:
Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
We pay for healthcare for you and your dependents
. . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
|
Data Scientist Sales Support | Sentilink |
SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.
We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.
As a Sales Support Data Scientist at SentiLink, you will be responsible for our pushing through pilot studies. Pilot studies are the way a financial institution is introduced to our fraud score products -- by securely sharing past accounts with us, we process data, run it through our API, and quickly generate analysis to explain how much fraud SentiLink’s solutions will stop. As such, your work will be the first encounter financial institutions have with SentiLink’s products. SentiLink is growing rapidly and you will be a core component of enabling that growth.
Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
This is a remote, US-based role.
Responsibilities:
Clean, QA, and process through our API millions of applications a month
Develop Python scripts, write SQL queries, working with data scientists and engineers
Analyze and visualize fraud rates, trends, and product performance, collaborating with sales and the go-to-market team
Develop automation for faster processing and safer QA
Coordinate across different teams to handle time-sensitive activities
Support partner success with analyses
Improve product monitoring, including performance, calibration, and latency
Requirements:
Python experience
Master’s or Undergraduate degree in STEM field, or additional relevant experience
Internship experience, including numerical or programming work
Comfort with probability and developing statistical analyses
Detail oriented: someone we can trust to create work shared directly with our partners
Motivated and excited to work in a fast-growing startup
SQL experience preferred
Candidates must be legally authorized to work in the United States and must live in the United States
Perks:
Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
We pay for healthcare for you and your dependents
. . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
|
Senior Data Scientist Gtm Strategy Analytics | Twilio |
See yourself at Twilio
Join the team as our next Senior Data Scientist!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to maximize the impact of a vast amount of data to generate actionable insights and build ML models to drive go-to-market efficiency. You will help the growing data science team and have experience delivering end-to-end machine learning projects. You thrive on ambiguity and enjoy the frequent pivoting that comes with that exploration. You are passionate about applying practical machine learning to go-to-market use cases that drive sales efficiency and productivity.
Responsibilities
In this role, you’ll:
Apply artificial intelligence and machine learning techniques to drive sales efficiency and productivity (e.g., by building models like new logo propensity, next-best-product recommendation engines, etc.).
Extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from diverse sources.
Interact and collaborate with cross-functional teams (Sales, Marketing, Finance, and Product) to define requirements and propose new ML models to drive business impact.
Provide and inspire data science innovations that fuel the growth of sales and Twilio as a whole.
Provide technical data science leadership across multiple teams to help guide data-driven strategies.
Understand and teach proven methods and hacking skills in working with divergent data types at scale.
Provide GTM and Sales stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings and fully exploiting the insights revealed through the research.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
BS, MS, or PhD in an appropriate technology field (Data Science, Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
Demonstrated experience in data science, with a focus on predictive modeling.
Expertise in Python, with expert command of machine learning libraries.
Strong proficiency in SQL.
Expertise in machine learning and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
Experience with the full end-to-end data science lifecycle: Requirements gathering, Feature Engineering, Feature Selection, Model Building, Model evaluation, Model Deployment.
Impeccable attention to detail and strong ability to convert complex data into insights and action plans.
Able to effectively communicate a vision and inspire others to innovate.
Desired:
Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required.
Location
This role will be fully remote and may sit anywhere in the United States
Approximately 5% travel or less is anticipated.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:
The estimated pay range for this role, based in Colorado, is $120,160.00 - $150,200.00
Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
#LI-Remote
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Senior Data Scientist | Magiclinks |
About us
MagicLinks powers social commerce through an exclusive marketplace for video influencers and the worlds’ leading brands. Our technology enables creators to earn steady income by sharing the products they love. We provide brands with creator investment data and tools to propel creator success across all social video platforms. We are digital video natives, driven by data, passionate about the content creator community, and committed to excellence.
We are an award winning Certified B Corporation that has been featured in Inc Magazine, Business Insider, WWD and The Information, amongst many others. In 2021, we were named to the annual Inc. 5000 list of the fastest-growing private companies in America and in 2020 became a member of 1% for the Planet. Learn more about our Responsible Impact initiatives here.
We work hard, move fast, and have a ton of fun along the way. Come join us!
Location: Remote in select states* or Venice, CA in the heart of an inspiring and eclectic artist community
Responsibilities:
Empower our stakeholders with data insights to secure and grow business.Work with our product team to expand and create new products.Incorporate elements of machine learning and AI into our core products including developing custom data models and algorithmsEstablish processes and tools to monitor and analyze model performance and data accuracyWork closely with our engineering team to establish best practices for data storage, data warehousing and securityExport, transform, load and analyze data from company databases to optimize and improve product development, marketing techniques and business strategiesUse predictive modeling to increase and optimize user experiences, revenue generation, marketing targeting and other business outcomesAnalyze the effectiveness and accuracy of data sources and data gathering methodsResearch and suggest data sources that can be incorporated to improve our products and streamline business decisions.
You Are
3 to 7 years of experience with data architectures, Machine Learning, Artificial Intelligence; ideally with direct experience in e-commerce, digital media, and/or influencer marketingKnowledge of statistical programming languages such as (Python, R, SQL, etc.). Python and SQL proficiency are a must have.Knowledge of a variety of machine learning algorithms and their real-world pros and consPast experience with scikit-learn or any of the various Machine Learning Services like SageMaker or Amazon Comprehend Experience using a computational environment like Jupyter NotebookExperience using data lake / data warehouse solutions and Big Data (Snowflake, DataBricks, BigQuery, Redshift, Spark, etc.)Data Visualization tools (Tableau, etc.)Excellent communication skills and an ability to distill and clearly communicate the most important insights that have meaningful business impact to diverse stakeholder groups.A highly motivated self-starter, and mental athlete, capable of producing high quality work while adhering to oftentimes very tight turnaround times in an exciting and fast-moving start-up environment.Someone who others describe as disciplined, detail-oriented, and committed to excellencePassionate about the future of digital media, technology, and curious to learn moreAuthorization to work in US (no H1B visa support available at this time)
Compensation
Salary, Bonus, and Equity (based on experience)Full time employees are eligible for health care benefits including health, dental, vision, and 401(k) plans.
Diversity Statement
We're equally committed to diversity, equity and inclusion in our workplace and in how we show up in this world. To us, diversity means recognizing that different views and experiences are as important as those we're already familiar with. It means taking radical ownership of the things we affect as individuals and as a company - including even inherited ways of doing things which may be destructive or biased and which we must work to change. It means looking at the world and making sure we embody as many of its best qualities as we can, and striving for that as a matter of principle, not as a marketing goal we check off a list.
This is how we strive to practice We define diversity as making sure (1) our table represents people from varying backgrounds, (2) inclusion as making sure our people have a seat at the table, and (3) equity as making sure our people have the same means to get to the table in the first place. Externally, we apply the same policies to partnerships, marketing, and product development.
Ultimately, diversity goes beyond what we look like, who we are, who we love, or how we think. Diversity is shorthand for an integrity-driven way of operating and growing every single day, and we wouldn't have it any other way.
You've read this far so now all that's left is hitting us with that boom-boom-pow through a killer resume and cover letter for any of our opportunities that pique your interest.
*AZ, CA, GA, IL, IA, KS, MO, NY, NC, TN, TX, FL, MI, MA
If you are interested, send us your resume to [email protected]
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Data Scientist | Reach Financial |
What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good.
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower our customers to turn their financial goals into a reality.
Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans; together, these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers' personal finance challenges.
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry.
About the Department:
Reach Financial’s Risk and Decision Science team consists of a group of Data Scientists, Data Engineers, Analytics Professionals covering all the business units and Business Intelligence Analysts. We are passionate about data and cutting-edge technology. Our goal is to leverage the data to drive the business growth agenda. The Risk and Decision Science team works cross functionally with other business units to ideate, hypothesize, analyze and test, formalize, implement, maintain, and track progress for all initiatives.
About the Role:
We are looking for a gritty, curious, and collaborative Data Scientist to solve business problems using data. As a Data Scientist, you will use analytical, statistical, and programming skills to collect, analyze and interpret large dataset. Then you will develop data-driven business solutions. This role will report to a Director of Data Science.
What You Will Do:
Mine and analyze data from internal database and external vendor to optimize and improve business decisioning
Research and evaluate model building techniques
Develop predictive models to optimize various functions across the organization, including marketing, risk, and operations
Develop processes and tools to monitor and analyze model performance and data accuracy
Work independently to create data-backed recommendations to help stakeholders make strategic business decisions
What You Should Have:
Masters or PhD in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.
3+ years of experience extracting, cleaning, manipulating datasets and building statistical models.
Experience in lending is required.
Experience using Python to manipulate data and draw insights from large data sets.
Experience applying unsupervised and supervised machine learning algorithms: clustering, decision trees, regression, etc. Understand algorithms’ fundamentals, their real-world advantages/drawbacks.
Experience applying advanced machine learning algorithms: boosting, ensembles, neural networks, gridsearch, etc. Understand algorithms’ fundamentals, their real-world advantages/drawbacks; have intuition on the best algo & hyperparameter to leverage.
Good communication and presentation skills.
Bonus experience in: unstructured data, BeautifulSoup, NLP, time-series modeling, RNN, AI.
What is it like working at Reach Financial?
Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that.
We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives.
What benefits will you receive?
Remote First Culture with optional Hybrid opportunities
Healthcare, Life Insurance, 401k Match
Paid Time Off, Paid 12-week Parental Leave
Disability (short-term, long-term), Employee Assistance Program
Spending Accounts (Transit/Parking, Medical, Dependent Care)
Insurance Discounts (home, auto, pet)
Reach Financial is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit, and business needs at the time.
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Fraud Risk Data Scientist | Reach Financial |
What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good.
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower our customers to turn their financial goals into a reality.
Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans; together, these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers' personal finance challenges.
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry.
About the Department:
Reach Financials’ Risk team consists of a group of Data Scientists, Data Engineers, Analytics Professionals covering all the business units, and Business Intelligence Analysts. We are passionate about data and cutting-edge technology. Our goal is to leverage the data to drive the business growth agenda. The Risk and Decision Science team works cross-functionally with other business units to ideate, hypothesize, analyze, and test, formalize, implement, maintain, and track progresses for all initiatives.
About the Role:
We are looking for a gritty, curious, and collaborative Fraud Data Scientist to solve business problems using data. You will use analytical, statistical, and programming skills to collect, analyze and interpret large dataset. Then you will develop, deploy, and track data-driven business solutions.
What You Will Do:
Mine and analyze data from an internal database and external vendors to optimize and improve business decisions
Develop rules/strategies and work with product team to deploy solutions to prevent fraud losses while minimizing customer impact
Create tracking and identify emerging fraud risk threats
Build and leverage internal and external data sources to drive superior risk decisions for the installment loan product
Collaborate with operations and product teams to communicate awareness of fraud trends and initiatives
Utilize third party fraud tools (like: Threat Metrix, Lexis Nexis) to review fraud case setups to hypothesize and test new ideas to improve fraud strategy
Strategize and develop key tracking metrics, develop, and automate reports to track the fraud trends. Identify signal from noise and recommend fraud strategy changes to the risk and data science team
What You Should Have:
Master's or Ph.D. in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.
3+ years of experience extracting, cleaning, manipulating datasets
Experience using Python to manipulate data and draw insights from large data sets is must
Experience in lending is required
Knowledge and experience working with fraud solution providers a plus
Experience personal lending fraud space is plus
Result oriented and self-driven
What is it like working at Reach Financial?
Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that.
We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives.
What benefits will you receive?
Remote First Culture with optional Hybrid opportunities
Healthcare, Life Insurance, 401k Match
Paid Time Off, Paid 12-week Parental Leave
Disability (short-term, long-term), Employee Assistance Program
Spending Accounts (Transit/Parking, Medical, Dependent Care)
Insurance Discounts (home, auto, pet)
Reach Financial is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit, and business needs at the time.
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Data Scientist Us Design | Liberty Mutual |
Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team. These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication. You will use machine learning, predictive analytic techniques, and languages/software such as Emblem, SQL, SAS and Python. These roles work collaboratively across Product Design and Modeling in the US.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
Potential for up to 10% travel
Remote work available
Job Specifications:
Reference: 2022-51624
Category: Data Science
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level:
Travel: As Needed
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Data Science Internship Graduate Summer | Liberty Mutual |
Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
It’s a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.
The details
Calling all aspiring data scientists! Here’s the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software.
In the 10-to-12-week Data Science Graduate Level Internship, you’ll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions.
At the conclusion of your summer internship, you’ll deliver a presentation of your work and skills to your colleagues and the data science management team.
The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston, Chicago, and Seattle offices.
Job Specifications:
Reference: 2022-50361
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$42.50-–-$52.50-/-Hour
Education Level: Master’s Degree
Travel: As Needed
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Product 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
What You'll Do:
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
• 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
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 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
What You'll Do
Work closely with management to execute analytical initiatives.Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.Create reports and dashboards to closely monitor performance metrics and provide insights.
How You'll Do It
Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.Collaborate with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Manage multiple priorities, communicate business performance and project progress to management & business partners.Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.
Qualifications You'll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related fieldExperience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#LI-LG1
#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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Senior Marketing Data Scientist Monetization | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is hiring an experienced data scientist for the Small/Medium Business Monetization Data Science team. This team sits within the Enterprise Go-To-Market team and is a group that creates monetization programs and strategies to help Atlassian products unleash the potential of every small/medium business team. Our team focuses on the important moments of a small/medium business's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's CLM organization.
What you'll do
Become the subject matter expert in Atlassian's small business monetization strategy across our portfolio of products.Work with Marketing Leadership and partners to help guide marketing strategy.Apply causal inference and econometric methods to measure marketing campaign strategies and programs.Coordinate different facts and findings into powerful narratives that have the broadest possible application within Atlassian.Collaborate with numerous analytics and data science teams in addition to partnering with marketing, sales and product managers.Build measurement methodologies and capabilities that have broad application across Atlassian.Promote evidence-based decision-making by partnering with important decision makers and senior leadership.Identify and improve the execution of the full Analytics & Data Science team through standardization of process, authoring new practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture.
Your background
5+ years of analytics experience either in technology, engineering, consulting or other relative work experience.Experience within product, marketing, growth, or sales analytics and data science teams.You can write SQL with a preference for well-architected data models, optimized query performance.You are proficient in at least one programming language (e.g. Python, R) and a visualization and business intelligence platform (e.g. Tableau, Looker, Mode).Build incrementally to help support a moving organization.You use data to help go-to-market teams influence company-level outcomes.
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Data Scientist Intern | Launchdarkly |
About the Job:
LaunchDarkly is seeking a Data Scientist Intern to join our Decision Science Products team for Summer 2023. The decision science products teams currently own experimentation, LaunchDarkly’s second largest product, and are developing additional products that rely heavily on statistics, especially sequential testing and Bayesian optimization.Our data platform processes events from over twenty billion feature flag evaluations, and billions of experimentation metrics events daily. The core technologies we use daily include Golang, Scala, Kinesis, and Flink. As a data scientist you will be responsible for using appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.
What you'll get to do:
Build and expand our data and decision science products
Design statistical solutions for new products and evolving customer needs
Collaborate with product team to influence and deliver user-facing features
Partner with customers to solve diverse data challenges using our products
Promote statistics standards, tooling, and processes
Opportunity to work on industry or academic papers for new methodologies
Opportunity to work as a junior data scientist in a production environment
On day one, you should have:
Should have finished your Junior year or pursuing an Advanced Degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Appreciation for both frequentist and Bayesian statistics
Strong communication skills, a positive attitude, and empathy
You hold yourself and others to a high bar when working with statistics
You value high code quality, reproducibility, and other data engineering best practices
Bonus Points:
Experience with sequential testing
About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves trillions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Don't let the confidence gap get in the way of applying! We'd love to hear from you.
LaunchDarkly is also committed to giving back to our community and is a part of Pledge 1%, an organization that helps companies make this a priority. Through this initiative and its charitable arm, the LaunchDarkly Foundation, the company is committed to such causes as supporting education for the underserved, homelessness relief and moving towards having a net-zero carbon footprint. You can find more about the LaunchDarkly Foundation and the organizations we serve at https://launchdarkly.com/foundation/.
#LI-Remote
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Lead Data Scientist Applied Statistician | Launchdarkly |
About the Job:
We are currently looking for a Lead Data Scientist to join our Decision Science Products team. As a lead data scientist you will help us choose and develop the best statistical methods for various data and decision science products. The decision science products teams currently own experimentation, LaunchDarkly’s second largest product, and are developing additional products that rely heavily on statistics, especially sequential testing and Bayesian optimization. We're looking for someone who can work efficiently as the first, full-time data scientist on the decision science team getting solutions from concept to production.
Our data platform processes events from over twenty billion feature flag evaluations, and billions of experimentation metrics events daily. The core technologies we use daily include Golang, Scala, Kinesis, and Flink. As a data scientist you will oversee be responsible for finding the appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.
Your work will be used by companies from small to large, across multiple industries, allowing them to make the best business decisions possible.
What you'll get to do:
Build and expand our data and decision science products
Design statistical solutions for new products and evolving customer needs
Collaborate with product team to influence and deliver user-facing features
Partner with customers to solve diverse data challenges using our products
Promote statistics standards, tooling, and processes
Opportunity to work on industry or academic papers for new methodologies
Opportunity to build out a team of data scientists
Opportunity to help educate customers via blog posts, office hours, etc.
On day one, you should have:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Proven experience and fluency probability and statistics
Experience building experimentation tools
Appreciation for both frequentist and Bayesian statistics
Strong communication skills, a positive attitude, and empathy
You hold yourself and others to a high bar when working with statistics
You value high code quality, reproducibility, and other data engineering best practices
Bonus Points:
Experience with sequential testing
About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves trillions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Don't let the confidence gap get in the way of applying! We'd love to hear from you.
LaunchDarkly is also committed to giving back to our community and is a part of Pledge 1%, an organization that helps companies make this a priority. Through this initiative and its charitable arm, the LaunchDarkly Foundation, the company is committed to such causes as supporting education for the underserved, homelessness relief and moving towards having a net-zero carbon footprint. You can find more about the LaunchDarkly Foundation and the organizations we serve at https://launchdarkly.com/foundation/.
#LI-Remote
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Data Scientist Senior Or Lead Neural Networks | Progressive |
As a Senior/Lead Data Scientist, you’ll join a team of highly skilled data scientists working on a broad range of business problems within our Claims Advanced Analytics team. With a focus on helping improve the accuracy and efficiency of our Claims handling processes, you and your team will support an agenda focused on generating millions of dollars of incremental value - specifically in the 'fixing cars' space inclusive of estimatics, triage, and claims routing. You’ll use your experience working with machine vision and neural networks to solve complex problems and handle large and varied data sets to create smarter and more personalized claims experiences for our talented claims representatives and more than 20 million customers. Remote Work Allowed.
Must-Have Qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Proficiency in SQL and one higher level programming language (e.g., Python or R)
Experience in machine vision/neural networks
Ability to communicate technical findings to a wide range of audiences
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Experience with terminal/shell script
Experience with version control tools (e.g., GIT)
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-REMOTE
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Pricing Analyst Senior | Progressive |
As a pricing analyst senior on the Commercial Lines team, you’ll collaborate with leaders in maintaining and advancing statistical methods for our core commercial auto product. You’ll have the opportunity to design, test and implement new direct and ceded pricing models and diagnostic reporting in support of commercial lines growing reinsurance program. This is a great opportunity to be part of a multifaceted team with the ability to gain exposure to senior business leaders. Remote work allowed.
Must-have qualifications
Bachelor's degree or higher in a quantitative field of study and a minimum of three years of analytical work experience
Instead of a quantitative degree, a bachelor's degree or higher and a minimum of five years of analytical work experience
Instead of a degree, a minimum of six years of analytical work experience
Preferred skills
Prior exposure of advanced statistical techniques and their application to modeling of frequency and severity cost components. Formal hypothesis testing of data possibly displaying serial correlation and heteroscedasticity is a plus.
Experience hypothesizing, designing, creating, and implementing data flows to support pricing analytics - from data acquisition to final exhibits supporting recommendations.
Advanced skills with established statistical software, like R or SAS – specifically, programming simulations, superior data visualization techniques and the efficient programming of necessary statistical tests.
Thorough understanding of relevant Actuarial principles and methods. Certification in the CAS is not required. If the selected candidate is working toward certification in the CAS, then they will be supported through the corporate Actuarial Study program.
Experience with reinsurance is a plus.
Compensation
$66,300 - $95,000/year
Gainshare bonus up to 30% of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for foreign national candidates is not available for this position.
#LI-Remote
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Data Scientist | University Of Pittsburgh |
Data Scientist (remote)
Pitt IT Analytics - Pennsylvania-Pittsburgh - (22008027)
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? Pitt’s Center for Research Computing and Pitt IT are searching for a strategic and inquisitive data scientist who is passionate about deriving knowledge and insights from data to ideate, develop, and implement data-centered projects. Fully-remote and hybrid options are available. The data scientist will exercise their knowledge of descriptive and multivariate statistical techniques and applications, and database analysis tools and techniques to develop strategic insights to drive research and business goals. We will rely on you to work with stakeholders to identify data science use cases and their potential value, and then work with a team of analytics and data experts to identify, acquire, and cleanse data; create data science models; and deploy those models to dashboards and applications to realize business value.
You will work in the advanced computing community, develop high fidelity models, and utilize leading edge technologies and methodologies such as: high performance computing on state-of-the-art CPUs and GPUs, containerized workflows for machine learning and AI, data exploration and visualization, programming in R, Python, SAS, MatlabGraph analysis, image analysis, and predictive analytics in social media. You should be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams, researchers, and management. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing research and business problems and look around corners for future opportunities.
Expect to work hard at advancing the state-of-the-art in how data is applied to answer questions throughout the University. Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status. Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”
Preferred: Master’s or PhD in a quantitative, statistical, or other field that requires advanced statistical knowledge and application. However, combination of education, experience and/or industry certifications will be considered in lieu of education. Minimum 5 years experience working with complex data sets using advanced statistics or machine learning. R and/or Python, statistics, reshaping data. Hands-on experience in Linux environments is required.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details Founded in 1787, the University of Pittsburgh is one of the oldest institutions of higher ed in the US. Pitt people defeated polio, unlocked the secrets of DNA, led the world in organ transplants, among numerous other accomplishments. Your efforts will be supporting a world-renowned teaching and research facility. The work we do in Pitt IT Analytics is essential for driving data-based decision making at the highest levels.
Pitt Information Technology provides innovative services that support teaching, learning, research, and administrative functions at the University of Pittsburgh. We are committed to leveraging University resources, to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.
Include complete employment history on application. Attach resume to this specific posting. Include salary requirements in cover letter.
Assignment Category Full-time regular
Job Classification Staff.Systems/Programmer.IV
Campus Pittsburgh
Minimum Education Level Required Master's
Minimum Experience Level Required 5-6 years experience
Work Schedule M-F bus hrs. EST On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements.
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume
Optional Documents Cover Letter
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Data Scientist Lead | Macy S |
About: Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Our customers come to us for fashion, value and celebration.
Macy’s Marketing delivers a healthy, profitable customer franchise that is growing through engagement and acquisition. Our team leads strategic initiatives such as personalization and monetization, as well as our Star Rewards Loyalty program.
Take the helm of one of the world’s most beloved brands and help bring it to life for our customers. As part of our team, you’ll own, guide, and direct marketing efforts, motivating our customers to strengthen their relationship with our brand. Constantly creating, innovating, and exploring the new, you’ll drive customer engagement and loyalty while sparking excitement.
Job Overview: As part of the Supply Chain group, the Lead Data Scientist will develop innovative analytical approaches to support merchandising and supply chain operations and strategy. The Lead Data Scientist will create new analytical models, processes and reporting practical methods to forecast demand, understand customer preferences, improve inventory placement, predict business outcomes, and optimize major investments in supply chain strategy. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify business opportunities, and quantify the impact of strategic projects. They will also build dashboards, visualizations, and conduct ad-hoc data analysis for business partners as needed.
The ideal candidate will have a blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills. The candidate will be expected to be strong at communication and capable of cross group collaborations
Essential Functions:
Answering complex business questions by using statistics, modeling, simulation, and machine learning techniques
Designing and running experiments to gather data (i.e. A/B testing)
Develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques.
Conducting data preparation and cleansing, and building data pipelines to support modeling and operational needs
Work closely with cross functional teams to encourage best practices for experimental design and data analysis.
Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company.
Perform other duties as assigned.
Qualifications and Competencies:
Minimum Graduate Degree
Preferred PhD
2-5 Years Relevant Research Experience
Extensive experience in Python and SQL
Familiarity with visualization tools such as Tableau, Looker, or Power BI
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to work independently and juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to think creatively, strategically and technically
Strong passion for answering complex business questions using structured problem solving and rigorous data analysis
Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels
Ability to think creatively, strategically and technically
Ability to work a flexible schedule based on department and Company needs
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Lead Data Scientist Oms And Inventory | Macy S |
About: Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Customers come to us for fashion, value and celebration. Now is an exciting time to join Macy’s, Inc. The face of retail is changing, and change requires innovation.
Macy’s Tech provides modern tools, platforms, and services to all parts of the business. Our team supports millions of customers in connected commerce across the technology hub at Macy’s Join our team to help shape the future of e-commerce and set the pace in retail technology. Whether focused on store technology, supply chain tech, application security, merchandising systems, or the mobile app – you’ll have opportunities to grow your career while finding meaningful ways to make a difference.
Job Overview:
70% – Delivery & Execution:
Collaborates and pairs with other product team members (engineering, and product management) to create secure, reliable, scalable software solutions
Partner with Analysts and Data Scientists on delivering reliable data that powers machine learning models
Identify, extract/scrape, and verify suitable data from different sources.
Design and conduct exploratory data analysis (for example, statistical analysis/segmentation, anomaly detection, assumption testing)
Conduct A/B test and report out A/B test data
Creates proofs of concept. Deploy models to production.
Build learning systems to analyze continuous data flows and offline data.
Work on eCommerce search, recommendation related data science projects.
Work on building relevance evaluation tools.
10% – Learning:
Participates in learning activities around modern software design and development core practices (communities of practice)
Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
Essential Functions:
Action-Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Cultivates Innovation: Creating new and better ways for the organization to be successful
Drives Results: Consistently achieving results, even under tough circumstances
Global Perspective: Taking a broad view when approaching issues; using a global lens
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
Qualifications and Competencies:
4 Year / Bachelors Degree
Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
Expertise in Data structures, Object-oriented programming, functional programming, familiarity with microservices, cloud Technologies.
Experience with programming languages- Python, SQL, Java.
Experience in BigData and NoSQL technologies like Cassandra, Big Table or equivalent.
Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases.
Familiar with model assessment and validation
Experience in designing event driven mechanisms, publish/subscribe models.
Experience in writing automated tests - Unit/Integration tests.
Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).
Experience with Agile or Scrum software development methodologies
This is an engineering position, and in our team, we believe in “always production-ready” code.
This job requires 70% coding or coding-related tasks every day.
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to work a flexible schedule based on department and Company needs
This job description is not all-inclusive, and Macy’s Inc. reserves the right to amend this job description at any time. Macy’s Inc. is an Equal Opportunity Employer and is committed to a diverse and inclusive work environment. Candidates for positions in San Francisco ONLY can review their rights and the Company’s obligations under SFPC Art. 49 here. Candidates for positions in Los Angeles ONLY can review their rights and the Company’s obligations under LA MC Ch. XVIII Art. 9 here. Candidates for positions in Philadelphia ONLY can review their rights and the Company’s obligations under PC Ch. 9-3500 here
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Data Science Undergraduate Internship Summer | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Manager Online Data Science Recommendations | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Data Science Manager | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Principal Data Scientist Online Visual Ai | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Data Scientist Uk | 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. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Extract and manipulate data using a combination of different tools including SQL, Python etc. Build machine learning/statistical models and perform analysis. Uncover insights and build strategic recommendations that support objectives for business Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and deployment. Actively identify and implement initiatives to improve data extraction, data preparation and data modeling processes Continuously evaluate ML models and processes and offer solutions to ensure they are efficient, high-quality, and scalable Build high-quality reusable code that can be used as a framework and can be shared throughout the firm Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions Maintains and enhances a set of critical ML models supporting several use cases Maintains complex data pipeline supporting our team’s mission in democratizing data and enabling a data-driven organization, partnering with business and IT teams Effectively communicate actionable insights at all levels of the organization Collaborate closely with leadership, engineering, and other stakeholders to improve the client’s view of modeling and decision engines Present compelling data stories to the internal and external teams 3+ years of ML/AI model development experience Strong in SQL, ML libraries and frameworks Proficiency in programming languages including, Python Hands on experience in an analytical field of study (e.g. Statistics, Computer Science, Engineering, Mathematics, Finance) Demonstrated success working with large data sets and analytic tools. Data mining experience working with a large relational database is an asset Previous work in a cloud-based service such as Azure, or AWS is an asset Working knowledge of machine learning techniques Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data Ability to take initiative, multi-task and work in a fast-paced environment A team player and self-starter 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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Manager Sr Manager Analytics Consulting | Tiger Analytics |
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Work on the latest applications of data science to solve business problems Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights Ability to break down a project into specific tasks involving business analysis, data science and engineering Direct teams of business analysts to create data driven solutions Architect data analytics frameworks and solutions to solve data driven business problems Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Extract, transform and organize the data into datasets using tools like SQL Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc. Report the results and insights using business intelligent tools Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions Being able to effectively communicate with and manage expectations across stakeholders 6-10 years of professional work experience with at least 5 years in business data analytics Experience working with large data sets is preferable (with an emphasis on business analysis problems) Experience of working with offshore teams Bachelor's degree in business administration or a closely related field. MBA preferred Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Strong project management and team management skills and ability to work with global teams Strong SQL skills and excellent knowledge of visualization tools like Tableau Knowledge of statistical and machine learning algorithms Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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Data Scientist Spain | 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. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Extract and manipulate data using a combination of different tools including SQL, Python etc. Build machine learning/statistical models and perform analysis. Uncover insights and build strategic recommendations that support objectives for business Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and deployment. Actively identify and implement initiatives to improve data extraction, data preparation and data modeling processes Continuously evaluate ML models and processes and offer solutions to ensure they are efficient, high-quality, and scalable Build high-quality reusable code that can be used as a framework and can be shared throughout the firm Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions Maintains and enhances a set of critical ML models supporting several use cases Maintains complex data pipeline supporting our team’s mission in democratizing data and enabling a data-driven organization, partnering with business and IT teams Effectively communicate actionable insights at all levels of the organization Collaborate closely with leadership, engineering, and other stakeholders to improve the client’s view of modeling and decision engines Present compelling data stories to the internal and external teams 3+ years of ML/AI model development experience Strong in SQL, ML libraries and frameworks Proficiency in programming languages including, Python Hands on experience in an analytical field of study (e.g. Statistics, Computer Science, Engineering, Mathematics, Finance) Demonstrated success working with large data sets and analytic tools. Data mining experience working with a large relational database is an asset Previous work in a cloud-based service such as Azure, or AWS is an asset Working knowledge of machine learning techniques Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data Ability to take initiative, multi-task and work in a fast-paced environment A team player and self-starter 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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Senior Data Scientist Ads Innovation | Eyeo |
Get to know us
eyeo is an open source software company whose market-leading ad-filtering technology powers products like Adblock Plus and AdBlock as well as technical integrations for leading browsers on the market. Our privacy-first products like Crumbs promote transparency and an improved browsing experience. eyeo is dedicated to giving users control of their online experience while fostering a sustainable online value exchange between content creators, publishers, advertisers and users.
In combining our User Growth partnerships and our subsidiary products, our technology reaches 250 million monthly active users.
At eyeo, we’re passionate about user agency, personal privacy and sustainability as well as keeping the web an open, fair resource for everyone.
How we work
eyeo has colleagues based all over the world. We love our diversity and our company culture. We practice an agile, remote workstyle with work distributed in cross-functional teams that span nearly every timezone. Many of our tech teams prefer to work asynchronously. If working remotely isn’t for you, we also have two offices (Cologne and Berlin) that you can choose to work from. Twice a year we come together with our teams for Team Days and once a year we offer an offsite company retreat, Summer Week. By offering remote work and in-person sessions, we have built a hybrid culture that offers a unique dynamic of flexibility and belonging.
What you'll do
You’ll be working in a start-up environment for a privacy-centric advertising product that disrupts the advertising industry and inspires a shift towards solutions that respect end users’ choices. As a Senior Data Scientist, you will lead various product experiments by designing and implementing privacy-preserving algorithms, develop models of user behavior, perform audience segmentation and event measurement, and collaborate with cross-functional teams to drive Data Science initiatives forward.
After your morning routine, you'll be expected to...
Leading the data science efforts for a bold and innovative project in the field of privacy-preserving advertisement, that aims to be integrated into hundreds of millions of devices. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management
Collaborating with a cross-functional team, closely working with product, engineering, and other teams to incorporate Data Science capabilities into eyeo’s products and services
Defining problem statements and gathering business and product requirements that align with the product vision, goals and KPIs
Designing algorithms, protocols, and architectures that will enable specific advertising use-cases (identification, gathering, and processing) with minimal impact on users' privacy
Applying privacy-by-design principles in the product development process
Analyzing data, designing and building proof of concept models, shipping ML models to production and evaluating them
What you bring to the table…
Ability to self-manage, own complex topics, and drive initiatives
Experience in designing and developing algorithms for data extraction, sharing, and processing whilst also considering the privacy aspects of the processes
You’re experienced with Data Science and Machine Learning (aka A.I.), including Classification, Active Learning and NLP
You have strong implementation experience with at least one programming language (we’re using Python & SQL, experience in R etc. is acceptable)
Good understanding of how the web works
Ability to present and pitch results to a variety of stakeholders
Agile mindset
Great teamwork, communication and coordination skills
You are proactive and have a hands-on approach
It's awesome if you know about…
Experience in ad-tech (good understanding of how current advertising & measurement protocols work)
Experience working remotely or in distributed teams
Containerization (Docker, Containerd)
Distributed learning, federated learning
Experience in Encryption
Knowledge of innovation and Lean Startup methodology
What we offer
Work remotely or from one of our offices —we trust you to find what works best for you
Budget for the following: home office and/or relocation
Flexible working hours
28 days paid vacation + Volunteer day
Your choice of hardware and setup
Personal and professional development budget
Monthly child care allowance for children under 6
Offsite team days and the annual summer company retreat
Company-sponsored hackathons
Helpful links
Monetization: https://adblockplus.org/blog/acceptable-ads-explained-monetization
eyeo in the news: https://eyeo.com/press/
Blog updates: https://eyeo.com/blog/
Life at eyeo: https://eyeo.com/careers/working-at-eyeo
The team at eyeo: https://eyeo.com/team
Open Source repository: https://github.com/adblockplus, https://gitlab.com/eyeo
Privacy Notice
Eyeo is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. When you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.
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Senior Data Scientist | Spokeo |
Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 18 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.
We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.
Responsibilities:
Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
Create automated anomaly detection systems and quality assurance metrics to constantly track performance.
Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
Communicate best practices in quantitative analysis and develop cross-functional partnerships.
Keep up to date with the latest technology trend to apply them to our business challenges.
Perform Ad-hoc analysis and present results.
Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to effectively communicate insights.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file and 2) being assigned to the open position (as a search) via our applicant tracking solution.
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Staff Data Scientist | Offerup |
OfferUp is looking for an experienced Staff Applied Data Scientist to help build data science and machine learning solutions while helping to lead and build our Data Science and ML team. The Data Science team is foundational for building the next generation of OfferUp and helping our customers connect with the deals and items they are looking for quickly and without friction. As a Senior Data Scientist, you will partner with all product areas, adding insights and intelligence to support Personalization, Trust & Safety, and Search & Discovery.
As an engineering leader you will direct and influence technology and design decisions, and partner with our product leaders on building and delivering on the Data & Personalization roadmap.
This role can be in Bellevue, Washington or @Remote in the following states: Washington, California, Colorado, Florida, Illinois, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Tennessee, Texas, Virginia.
Responsibilities
Lead a team of Data/Applied Scientists in achieving state of the art applied machine learning solutions.
Own, oversee, and delegate the design, architecture, development, testing, deployment, and delivery of large-scale NLP, CV, and classical machine learning solutions capable of making real time and batch decisions. Examples include Multi-class Classification of text and images, specialized text extraction, semantic understanding, improved search and retrieval, etc.
Develop members on the team, helping them advance in their careers
Champion operational excellence, establishing metrics and process for regular assessment and improvement of models and solutions which are tightly aligned with rest of the engineering systems
Keep the team up to-date with latest applied research solutions in NLP and CV
Establish standards of model updates, detecting model drift and performance and setting up benchmarks of excellence
Operate strategically and tactically
Exceptional written and verbal communication
Collaborate with Product and Engineering leaders to scope, identify, and refine data science requests
Requirements
5+ years of building and shipping ML models and data solutions with quality
3+ years of professional software development in languages such as Python, Java
Experience and API development
Expertise in querying and retrieving data using SQL from large data systems
Ph.D. or Master’s Degree in Computer Science, Mathematics, Statistics or a related technical field OR Bachelor’s degree and relevant work experience
Expertise in classical NLP methods (POS tagging, NER, n-grams, keyword extraction) as well as deep learning methods (semantic analysis, RNNs, LSTMs/GRUs, transformers)
Knowledge of large language models (BERT family) and their applications preferred
Working knowledge of deep learning methods applied to images highly preferred (CNNs, Transfer Learning)
Expertise in open source deep learning frameworks (Tensorflow/Keras)
Experience in creating microservices and deployment on cloud infrastructure (AWS, Azure, GCP)
Experience in using GPUs for model training desired, deeper knowledge preferred
Actively coached and mentored team members in their careers
Been actively involved in building vision, strategy, and roadmaps
Shipped several large scale projects with multiple dependencies across teams
Ability to communicate across teams and levels
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Head Of Analytics Data Science | Currencycloud |
About Currencycloud
Currencycloud is somewhere where innovative thinking and the power of technology know no limits. We know that the success of the business depends on the people who keep it moving, which is why we are looking for exceptional talent to join our international payments revolution.
We are an open & collaborative Fintech unicorn that lives and breathes our company values:
Be Human, Better Together and Own it.
Remote working?
It’s a key topic at the moment, we have addressed this by implementing a “Remote-First” policy. What this ultimately means is you have the choice as to whether you Work Fully Remotely, or visit the lush offices in London, Cardiff or Amsterdam; it’s up to you!
About the role
We’re looking for a passionate, high-agency Head of Analytics & Data Science to join our company. Your mission is to build out and scale a world-class Analytics & Data Science function that delivers considerable value for our customers and our business.
What you'll get to do:
Leadership:
- Define what great looks like when it comes to generating insights from Currencycloud’s data
- Define practices & ways of working covering Analytics and Data Science so we sustainably deliver value to our customers and the business (e.g. workflows and tooling for a modern Analytics & Data Science function)
- Educate and influence colleagues in the function and across the business about patterns & practices in Analytics and Data Science
- Develop and build a new Analytics & Data Science Community of Practice with power users in other functions
- Represent the Analytics & Data Science function internally and externally in the Fintech market
- Build out and scale our Analytics & Data Science function
Strategy:
- Develop the Analytics & Data Science strategy for our business
- Communicate and get buy-in for the Analytics & Data Science strategy from across the business, particularly in Technology & Product
- Translate the Analytics & Data Science strategy into robust, executable plans
- Collaborate closely with colleagues to execute the long-term Analytics & Data Science strategy
Delivery & performance:
- Accountable for the performance of a distributed team of Insight Analysts & Data Scientists
- Use leadership and management skills to improve: 1) delivery of Analytics and Data Science projects; and 2) team engagement and effectiveness - as demonstrated by substantial improvements in relevant KPIs and metrics
- Multiply your impact by recruiting top-notch talent and coaching the Insight Analysts and Data Scientists
Coaching & mentoring:
- Set and maintain a culture that strengthens our people-first, empowered, high-accountability Analytics & Data Science team
- Create and maintain a competencies framework for Insight Analysts & Data Scientists to help with career development
- Provide first-rate coaching and mentoring to your direct reports so they become the best individual contributors they can be
- Advocate for Analytics & Data Science best practices within the function and across the business
- Teach direct reports, and skip reports, about Analytics & Data Science best practices
What experience you need!
Experience:
- Built and run a team of at least 2-5 Analysts & Data Scientists (or a team with equivalent job responsibilities covering Business Intelligence, Insights etc.)
- Recruitment and retention of top Analyst & Data Science talent
- At least 1-2 years experience of direct leadership and people management
- Demonstrable experience working in a “software first” and agile company
Skills:
- Analytics & Data Science practices: Deep understanding and knowledge of patterns and practices, including the application of theory in different industries and organisations
- Leadership & coaching: Expert at coaching and leading teams in Analytics & Data Science
- Ability to influence colleagues across the business
- Delivery & performance: Expert at optimising the delivery of high value-add Analytics & Data Science projects
- Communication: Expert at communicating with technical and non-technical stakeholders
- Experience helping a start-up/scale-up mature their Analytics and Data Science workflows and processes
Why Currencycloud?
We are a remote-first company; whichever location you’re contracted to, we leave it up to you and your manager to agree on how often you come into the office. To make things easier we offer an allowance so you can create your own working space at home because we REALLY mean it when we say remote first.
Your health and well-being are of paramount importance to us, and so our jampacked employee benefits reflect this!
We offer a competitive salary, an individual learning and development budget, a pension or 401K contribution, mental health days and comprehensive health care that includes annual optical and dental allowances, access to mental health support and a monthly allowance that you can spend on anything health or wellness related!
At the moment we are unable to consider applicants living outside of our entities and we are unable to provide visa sponsorship.
We aren’t currently looking for additional Recruiter support on this role and won’t be accepting any unsolicited CVs
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Product Manager Data Science And Machine Learning | Clari |
Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s market-leading Revenue Operations Platform is currently processing over $300 billion in pipeline each year, and is used by over 100,000 marketing, sales, and customer success professionals across 170 countries. Customers include market leaders like Adobe, Zoom, Qualtrics, UiPath, Okta, and Workday. We constantly hear from our customers that Clari is required equipment, and that we’ve changed their lives and the trajectory of their businesses. It never gets old, and we never take it for granted. Together, we help others realize their fullest potential by transforming their revenue operations to be connected, efficient, and predictable.
Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth.
We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform.
This is a fully remote opportunity and can be worked from any location in the United States.
Responsibilities
Drive the vision and roadmap for data science in the Clari platform
Partner with engineering on approaches to leverage machine learning
Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications
Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems
Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies
Ensure that our data science solutions are built for trust, scale, extensibility, and reliability
Leverage data from multiple sources to inform product decisions and drive customer adoption
Set targets for product adoption & impact, and work with success teams to ensure our product goals are met
Qualifications
4+ years of SaaS product management experience, from inception to delivery
2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP)
Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
Working familiarity with databases, data management, and modern API-based software architectures
Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.)
Experience delivering systems optimized for scalability and extensibility
Strong written and verbal communication skills with a forte for breaking down complex technical problems
Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences
Benefits and Culture
Team-bonding activities and company-wide events
Flexible working hours and remote opportunities
Internet, phone, and wellness reimbursements
Paid maternity and paternity leave
Fertility support
401(k) and college savings plan
Pre-IPO stock options
#BI-Remote #LI-Remote
You’ll often hear our CEO talk about “Being Remarkable.” To Clari, remarkable means many things. First and foremost, we believe in providing work that’s interesting and meaningful, in an environment that’s nurturing and inclusive, that is free from discrimination for each and every team member without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work/life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work, several years running. We’d love to have you join us on our journey to remarkable!
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Sr Data Scientist | Wex |
Sr. Data Scientist WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities. What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Lead the effort to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Collaborate with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identify key insights from large data sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the best-fitting tool and level of complexity appropriate for the business challenge(s)
Engage with counterparts across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, prioritizing those where advanced analytics projects or tools can have the biggest impact
Identify and communicate the challenges and opportunities that the group should be working on, highlighting areas for improvement
Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
Brainstorm and articulate business questions and investigate answers using data and mathematical techniques
Translate analysis results into business recommendations
You will also deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents
Help deliver AI tools to the business such as LLMs
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
4+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
Advanced experience building, cleaning, and testing data quality for data sets preceding modeling
Strong problem-framing, problem-solving, project management skills, customer service, and communication skills
Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
What would make you stand out:
Masters or PhD in a related field
Combination of technical and business acumen
Experience with Dataiku
Experience in Agile methodologies
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $123,000.00 - $164,000.00
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Data Scientist Ii | Wex |
Data Scientist IIWEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities. What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Interact with product and service teams to identify questions and issues for data analysis and experiments
Code software programs, algorithms, and automated processes to cleanse and evaluate large datasets from multiple sources
Identify important insights from large data sources; interpret and communicate insights and findings to product, service, and business managers
Support projects with hands-on analysis and modeling, using analytical methods to choose the right tool and level of complexity for the task
Articulate business questions and use mathematical techniques to arrive at an answer using data
Translate analysis results into business recommendations
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
1-3 years of relevant work experience (e.g., as a data scientist) or equivalent. Analytical engagements outside class work while at school can be included
Knowledge of statistical software (e.g., R, Python) and database languages (e.g., SQL)
Experience building, cleaning, and testing data quality for data sets preceding modeling
Understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Problem-solving, project management, customer service, and communication skills
What would make you stand out:
Masters or PhD in a related field
Experience with Dataiku
Experience in Agile methodologies
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $82,500.00 - $110,000.00
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Data Scientist | Wex |
Job DescriptionData Scientist, RiskWho We AreOur Team: We are the Global Risk Decision Science and Data Capabilities team. We are a fast-growing team and key to WEX’s strategic vision to incorporate more machine learning into our decision-making. Our team works on improving decisions, automated and otherwise. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. We are an informal group that likes to work together. We believe that the best work is driven by purpose and a fun and engaging work environment.Our Company: WEX is a fast-growing multinational payments company based in beautiful Portland, Maine. WEX headquarters is situated in the heart of Portland amongst some of the best restaurants in the country and overlooking the ocean and lighthouses. When you are here, you know you are in Maine. We have generous paid time off and paid volunteering time, not to mention great benefits and a culture that values diversity and inclusion.Who You AreYou are driven to do great work. You love learning new things and solving complex problems with data tools and algorithms. You believe that communication and relationships are key to success alongside your data and machine learning prowess.We are looking for someone really rare and we know it. We understand that in some cases you may not exactly check off one of our boxes, but we are interested in knowing how you think that your experience or skills either cover the items below even if in a non-traditional way.General Experience and Abilities
3+ years of experience as a data scientist, machine learning engineer, applied scientist or analyst with evidence of either thesis work or project work using a computational, model-driven approach to data problems
Experience being an effective member in a mixed team of technical and non-technical colleagues
Understanding of empirical research methods
Evidence of creative problem solving
Experience in the financial industry a plus
Tools and Techniques
Command of analytics-based scripting tools and libraries such as Python (pandas, numpy, sklearn, tensorflow, etc.), R, Julia
Strong knowledge of SQL
Understanding of statistical tests and which to apply when
Command of probability concepts: distributions, Bayesian inference, maximum likelihood estimation, etc.
Familiarity with various machine learning algorithms
Understanding of data splitting techniques and generalization
Key WordsPython, Pandas, Data Science, Machine Learning, Statistical Learning, Applied MathematicsThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $82,500.00 - $110,000.00
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Senior Applied Scientist I | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As anEtsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist to join the Recommendations Ranking team in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we show to buyers.
The Recommendations Ranking team builds machine learning models that aim to enhance personalization and optimize recommendation relevance, thereby improving the overall user experience. We use machine learning algorithms to train models that optimize for different objective functions, tailored to meet different business needs.
As an Applied Scientist, you will work closely with Software Engineers and product managers to build custom ranking models for recommendation systems. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Deep Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!
This is a full-time position reporting to the Sr. Manager, Data Science and the base salary range will be 164,000 - 192,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Initiate and lead new tracks of work to enhance ranking capabilities of Etsy’s Recommendation engine.
Develop innovative ML ranking models that optimize for various business goals to power recommendations at scale.
Build models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers.
Develop models with custom architectures or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seller fairness, and seasonality.
Work closely with software engineers, data scientists, applied scientists, product managers, and designers.
Of course, this is just a sample of the kinds of work this role will require! You should assume that
your role will encompass other tasks, too, and that your job duties and responsibilities may
change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques to address real-world problems.
Experience with / working in one of the following fields: deep learning, uplift modeling, fairness in recommender systems, reinforcement learning.
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code.
Ability to write code and manipulate data at a large scale, in distributed environments.
Ability to take on and lead unconstrained problems and know when to seek help and how to deliver.
Strong verbal and written communication skills.
Preferred requirements:
A Ph.D. degree in Computer Science or related engineering fields with 1+ years of practical machine learning experience or an M.S. degree in Computer Science or related engineering field with 3+ years of practical machine learning experience.
Experience in Deep Learning.
Experience using Scala Spark, Airflow, and Tensorflow.
Experience using Google Cloud Platform tools (GCP).
Experience in building production recommendations, search, or advertising systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
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Senior Data Scientist Trust Safety | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As anEtsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
We are looking for an experienced analytics professional to support the product teams responsible for building scalable content moderation solutions. Your team’s work ensures Etsy provides a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Trust & Safety area, you will deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. You will perform open-ended analyses that inform our strategy for highlighting and protecting our sellers’ unique items. You will develop key performance indicators that measure the effectiveness of content moderation tools and enforcement. You will work with engineering partners to build pipelines and evaluate opportunities for automated detection. Are you passionate about using creative thinking and sophisticated analysis to drive product development and content moderation strategy? If so, this could be a great match.
A successful candidate for this role is a strong collaborator and has proven instincts about when to hold the line on methodology, and when to adapt to the changing demands of a project. They approach their work with a genuine sense of curiosity, and they’re willing to challenge conventional wisdom to find the right answer.
This is a full-time position reporting to the Manager, Trust & Safety Analytics and the base salary range will be $130,000.00 -$168,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in U.S who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Partner with product, engineering, design, and operations teams; use behavioral and marketplace data to shed light on our users and their experiences on our platform, identify areas for improvement, and drive decision-making.
Identify metrics to understand the impact of content moderation solutions and interventions, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.
Provide strategic insights for content moderation and develop infrastructure that uses the outcomes of human decision-making to improve and expand upon automated solutions.
Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.
Continually evaluate and refine your technical toolkit; teach what you learn to the team.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years of proven success as a data analyst supporting product teams with data access, reporting, and insights.
Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.
High proficiency with sophisticated analytical techniques, SQL, and in one of or both Python or R.
Experience in the tech industry and in a scaled enforcement environment is preferred.
An understanding of adversarial abuse patterns and how they manifest online is preferred.
Ability to work and communicate effectively with a variety of partners.
Proficiency bringing creative approaches to problem definition, problem-solving, and data analysis.
A deep passion for quality data and the integrity of your work.
Ability to communicate insights to senior executives verbally, visually, and in writing.
A trust in and dedication to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
All your information will be kept confidential according to EEO guidelines.
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Data Scientist All Levels | Fedex |
Job Description
The Data Scientist team owns and is responsible for all major data science initiatives. Expected to use and deploy cutting edge data science and machine learning tools and methods in all Dataworks projects, platforms, and products. Always working to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods utilizing tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs, and new products/solutions, using advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. This team will lead the creation and implementation of solutions from concept to production using current and emerging technologies. The team will develop solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems.
Minimum QualificationsData Scientist III:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Four (4) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Additional InformationColorado, Nevada, Connecticut, New York, California, Rhode Island and Washington Residents Only - Compensation: Monthly Salary: $8,413.00 - $14,201.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
Exploring and harnessing data to define and solve true problems;Removing barriers between data sets to create new avenues of insight;Building and iterating on solutions that generate value;Acting as a change agent to advance curiosity and performance.
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].
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Lead Data Scientist Dl Ai Modeling 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 robust Data Scientist preferably, with a Ph.D. who holds solid knowledge of deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.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. Ph.D. (highly preferred) or Master in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. Experience with demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional 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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Staff Data Scientist Invest | Sofi |
Social Finance, Inc. seeks Staff Data Scientist, Invest in San Francisco, CA:Job Duties: Create data driven solutions for amazing product and business managers to identify strategicopportunities, measure product KPIs, build experiments, and drive informed actions. Statistical analysisof customer behavior metrics, such as funnel conversion, user churn, invest product featureengagement, unit economics and cross-sell metrics. Work with product and marketing partners todesign A/B tests & machine learning models to improve these metrics. Own end-to-end productanalytics workflow including metric definition, engineering instrumentation, database transactioncapture and analytical processing. Build data structures and ETL pipelines to transfer data intoSnowflake data warehouse. Act as a curator of data by defining, instrumenting, and tracking necessaryanalytics of our products by working cross functionally with engineering and product teams. Buildscalable machine learning solutions to predict user behavior and make personalized & relevantrecommendations to users. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Business Analytics, Engineering, orclosely related quantitative discipline, and two (2) years of experience in job offered or related field, ORBachelor’s degree, or foreign equivalent, in Business Analytics, Engineering or closely relatedquantitative discipline and five (5) years of progressively responsible experience in job offered or relatedfield.Special Skill Requirements: (1) SQL; (2) Python; (3)R Programming; (4) Big Data Tools; (5) AWS Full Stack;(6) A/B Testing; (7) Data Visualization; (8) Machine Learning; (9) Recommender Engines; and (10) AirflowAutomation. Any suitable combination of education, training and/or experience is acceptable.Telecommuting is an option.Salary: $197,600.00 - $227,240.00 per annum.Submit resume with references to: Req.# 22-19039 at: ATTN: Rae Myles, [email protected].
#LI-DNI
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Data Scientist | Sofi |
Social Finance, Inc. seeks Data Scientist in San Francisco, CA:Job Duties: Apply advanced statistical methods to complex data sets to understand SoFi user andproduct trends. Identify product improvement potentials and customer interaction behaviors by usingvarious data sources at different stages of the product, and recommend partner teams with properstrategies to ensure a smooth user experience. Work with other data scientist and engineers to leveragemachine learning to power personalized experiences across SoFi. Contribute to the developments ofnew products or features by exploring solutions to display intelligence product rankings in the websiteand mobile application designs. Implement all the above duties with modern technologies, including butnot limited to Python, SQL and AWS. Telecommuting is an option.Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, InformationSystems Management, Business Intelligence and Data Analysis , or closely related quantitative discipline,and one (1) year of experience in job offered or related field, OR Bachelor’s degree, or foreignequivalent, in Computer Science, Information Systems Management, Business Intelligence and DataAnalysis or closely related quantitative discipline and five (5) years of progressively responsibleexperience in job offered or related field.Special Skill Requirements: (1) Python; (2) SQL; (3) Business Analysis; (4) Financial Analysis; (5) RiskManagement; (6) Scikit; (7) Matplotlib; (8) Swift Programming Language; (9) Apache Spark; and (10) Git.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $140,000.00 - $161,000.00 per annum.Submit resume with references to: Req.# 22-17353 at: ATTN: Rae Myles, [email protected].
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