title
stringlengths 7
84
| company
stringlengths 2
93
| job_description
stringlengths 4
24k
|
|---|---|---|
Data Scientist Pharma | Closedloop |
About ClosedLoop:
ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a senior, customer-facing Data Scientist with a pharma background to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:
Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.
What you'll bring:
Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required (specifically pharma)
Prior experience working in a customer facing consulting position
Understanding of machine learning and statistical analysis
Why ClosedLoop:
Competitive salary
Equity
100% company-paid health insurance for medical, dental, and vision for employees and their families
HSA & FSA options
Short & long-term disability
Life insurance
401k plan
Flexible PTO
Parental leave
Remote work
Employee Testimonials:
"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"
|
Data Scientist Anti Money Laundering | Capital One |
Overview
Center 2 (19050), United States of America, McLean, VirginiaData Scientist, Anti-Money Laundering (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering Modeling and Advanced Data Insights team builds the machine learning models that identify potential money laundering, terrorist financing, or human trafficking. We develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, Spark, and Rmarkdown. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:
Work with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Basic Qualifications:
Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhDAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databases
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City:$156,595.00 - $184,748.00 for Data Science PhDColorado:$132,699.00 - $156,555.00 for Data Science PhDCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
|
Data Scientist | Watershed |
About Watershed
Watershed is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
We have offices in San Francisco and London and remote team members across the US and Europe. We hope that you'll be interested in joining us!
The role
Data is at the center of everything we do at Watershed and our work as data scientists touches every part of the company—from product strategy, to building the world's most complete model of global carbon emissions, to creating delightful customer experiences powered by machine learning. Example projects at Watershed include:
Become an expert in climate, and help develop novel methodologies to measure and predict the impact of our user's business activity.
Develop methods to automatically interpret corporate data and user input using machine learning.
Build and deploy production models to estimate carbon emissions for both Watershed users and other businesses
Improve the automation and validation of our “carbon engine” using data driven techniques and anomaly detection
Build and augment both internal and user facing tools that improve our ability to visualize, analyze, understand, and act on our user's carbon footprint.
Above all we are looking for data scientists who are excited to learn and want to own problems end-to-end. If any of that sounds interesting to you, we hope that you'll consider joining us!
FAQ
What’s your approach to remote work?
Watershed is hiring team members on all US and EU time zones, and we’re committed to growing a long-term distributed team. We have hub offices in San Francisco and London, and remote team members from Oregon to New Jersey to Ireland. There may be certain jobs that need to be in San Francisco / London or certain locations, and will be specifically noted in the job description or in conversations.
What are Watershed’s return-to-office plans?
We reopened our San Francisco office in June 2021, and treasure the energy and collaboration that comes from working together in person. We’re particularly lucky to have a great rooftop outdoor space, where we can gather for lunch, one-on-one’s, and the occasional outdoor whiteboarding session. We’re also investing deeply to support remote as a first-class hub, with regular Zoom social times, an emphasis on transparency and written artifacts, and periodic offsites to gather everybody in person.
We’re a COVID-cautious company. The office is open to vaccinated team members with regular testing, and we’ll continue to pay close attention to case rates to ensure it’s safe for everybody.
Do I need X years of experience, climate experience, etc.?
No, Watershed is hiring team members with a broad range of prior experience, and we’d love to talk with you regardless of yours. We prioritize mentorship on the job. There maybe certain jobs that will need X years of experience, and will be specifically noted in the job description.
What’s the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a (usually virtual) onsite interview after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.
|
Lead Data Scientist | Apartment List |
Apartment List is looking for a Lead Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:
Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization
Here are the skills and experience you’ll need to be successful:
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact
|
Senior Director Data Science | Hotel Engine |
We are looking for a Senior Director to take a leadership role on our Data Engineering and Data Science team and support our fast growth. This is a key technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.
Reporting to our VP of Data Engineering and Data Science, you will grow and lead a team of data scientists, data engineers and data analysts, and will act as both a people and technical thought leader. If you are passionate about travel, about working on both strategic projects and hands-on implementation, and relate to our vision and DNA, please apply.
Here's what you'll do:
Develop and lead a data team strongly integrated with product and engineering and with company-wide stakeholders including sales, marketing, supplier relations, traveler experience, and finance
Partner with product, engineering, and other cross-functional leaders to drive analytics and insights-driven decision making throughout the business
Work with the VP of Data to develop, obtain support and execute on a short, medium, and long-term data roadmap and strategy. Lead quarterly and monthly planning process, as well as weekly sprints
Recruit great data scientists, data engineers and data analysts, in collaboration with Hotel Engine’s recruiting team. Mentor the professional development of direct reports, managers, and individual contributors, through coaching and performance management. Build diverse and distributed teams and collaborative environments.
Act as though leader for the team’s work on product analytics and experimentation, modeling and predictive analytics, data privacy and security and drive the overall data strategy for the company.
Ensure that the team builds and maintains world-class data pipelines, data warehouse, and business intelligence and analytics solutions.
Design, built, synthesize and present robust analyses aimed at driving the strategic direction of Hotel Engine
Lead the development of predictive algorithms based on principles from statistics, machine learning and operations research to power and improve product features, increase customer engagement and satisfaction, deliver efficiency gains throughout the business, and support better decision making
Work with product and engineering to deploy ML-based solutions into production
Working closely with cross-functional stakeholders to define, track and report core business and product metrics and KPIs to inform both strategic decisions and day-to-day business operations
Identify new opportunities to leverage data to improve HE’s products and processes and help our business
Work with product and engineering to define and capture key metrics for our new products and identify causal impact through experimentation and causal inference methods
Here's what we’re looking for:
10+ years of relevant experience in data analytics, data science and/or machine learning. At least 6 years as an individual contributor and at least 4 years leading a data team
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Mathematics, Sciences or Engineering)
Expert knowledge of a scientific computing language (such as Python or R) and SQL
Expertise in statistics and machine learning, and a history of empowering whole organizations to use data by making data robust, well-structured, and as self-serve as possible Leadership experience in an analytical role at a growth-stage company
Track record of recruiting and leading high-performing data teams
Effective communication skills both in written (memos, emails, decks) and verbal form
Proven ability to lead projects to completion and collaborate seamlessly with others
You are a self-starter, able to operate effectively and with autonomy in a fast-paced environment with a high level of ambiguity, and you have experience building productive and positive relationships across an organization at all levels (entry level to senior executives)
Track record of rigorous execution and high impact
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Cash Compensation:
In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $180,000 - $230,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.
Remote opportunities:
This role is eligible for remote work, and you can work from anywhere in the U.S.
|
Lead Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Strategize with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Experience strategizing with key stakeholders and multiple business units
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
|
Sr Insurance Data Scientist | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Insurance Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
|
Sr Auto Data Scientist Pricing R D | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Auto Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
|
Sr Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
|
Sr Predictive Modeling Analyst | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Predictive Modeling Analyst?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Predictive Modeling Analyst?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
What will you bring as a Sr. Predictive Modeling Analyst?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
|
Ai Scientist Intern | Electronic Arts |
Remote Work Option:Yes
Requisition Number:175967
Date Opened:2022-09-29
Electronic Arts is the leading interactive entertainment company, powered by innovative technology. We create incredible experiences for millions of players around the world. But what matters most is our people who inspire us, and the world, to play. As we bring new forms of entertainment to people around the world, we need creative, collaborative, diverse and adaptable people to keep making Electronic Arts better.
We are EA
And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. Making games is challenging. That's why we employ the most creative, passionate people in the industry.
The Challenge Ahead
The EA Digital Platform Data & AI Group provides unified Artificial Intelligence (AI) resources across all franchises within Electronic Arts. Our group develops state-of-the-art machine learning, AI, and data-driven solutions to game team problems, and common AI infrastructure for use in every facet of the company. From data modeling to agent building, we use a modern, cloud-based tech stack with excellent tools to provide solutions and platforms empowering the future of game development and player experience. We're looking for an AI Scientist to join our team!
What an AI Scientist Intern does at EA
Develop state-of-the-art algorithms and extract essential insights from EA's rich store of data to empower intelligent agents within the EA ecosystem
Create scalable solutions for problems in the gaming domain
Develop and evaluate new AI applications for content creation, NPC behavior, game balance evaluation, and recommendations
Work with the core development teams to deploy AI applications as part of production systems
Establish scalable, efficient, automated processes for enterprise-level management of AI applications
Research and implement novel AI approaches for new problems.
The next great EA AI Scientist has
Be in pursuit of a PhD or MS with experience in Computer Science, or related fields (focus in AI or ML)
Experience having developed novel AI algorithms, and major journal and conference publications
Strong programming skills (object-oriented and functional paradigms)
Experience with large-scale data and distributed systems – Experience with Apache Hadoop, Spark, and Tensorflow
Experience with SQL and MPP databases
Excellent written and verbal communication skills
About EA
We exist to inspire the world to play. Through innovative technology and immersive storytelling, we deliver new ways of experiencing worlds of interactive entertainment for our millions of players worldwide. Our strength lies in the diversity of our people, combining creativity, innovation and passion. We fully champion inclusive culture, and provide opportunities for growing, learning, and leading that allows for the most impactful and rewarding work of our teams’ careers.
We put our people first, and we make sure they’re taken care of both in and out of the office. As we reflect on our learnings and successes from remote work, we aim to provide dynamic, collaborative and flexible work environments for our teams. Our employees connect through our Employee Resource Groups, which are actively involved in driving business decisions every step of the way. But our support doesn’t end at the workplace—we also encourage a balanced lifestyle with paid time off and new parent leave, free video games, fitness reimbursement and more.
Our goal is to provide a safe, respectful and inspiring workplace for all of our employees. Through our diversity, equity, inclusion and social responsibility programs, we’re doing the work to give everyone the space to be their full selves while giving back to our community. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers—people that are ready to move the needle and build on our success. As our industry accelerates, we aren’t just keeping up—we’re staying ahead of the game.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Electronic Arts also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
|
Director Of Data Science | Kin |
So, what’s the role?
We are looking for a Director of Data Science to join us in transforming the way data & analytics is used in insurance. Since we tackle insurance differently, we are looking for this individual to bring their expertise and knowledge to the team while also working to innovate and continually find more effective and efficient ways to grow our business profitably, while retaining our best customers.
You’ll have the opportunity to build out a team of highly skilled data scientists and develop an analytics strategy as Kin expands into new states and product lines. This position will work closely with each business unit to brainstorm, develop, and operationalize various predictive models to drive business results.
In addition, you’ll have a unique opportunity to work side-by-side with our growing data engineering & MLops teams to contribute to the model development and implementation engineering strategy.
A day in the life could include:
Recruit, onboard, and develop a team of highly skilled data scientists
Work alongside business partners to build out a data science vision, strategy, & roadmap
Translate business objectives into analytics solutions and translate results into business insights using appropriate data science applications
Collaborate with the engineering team to research and recommend tools to assist with the development and productionalizing of ML models
Contribute & lead the development of industry-leading predictive models, including profitability & price sensitivity models
Communicate technical findings to both technical & non-technical peers & leaders
Identify, integrate, and parse large data sets, combining data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics.
Develop data science best practices and basic analytics training across the organization
I’ve got the skills… but do I have the necessary ones?
10 years+ experience developing and leveraging predictive models / machine learning to drive business results
5 years+ experience managing data scientists, developing both individual contributors and people leaders
Insurance experience strongly preferred
Proficient in Python and various ML frameworks (e.g. scikit-learn, h2o, xgboost)
Experience working with tools to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, etc…)
Experience operationalizing & scaling predictive models in production to solve real world problems
MS or PhD in Computer Science, Statistics, or related field preferred
Strong interpersonal and communication skills, including the ability to explain and discuss technical concepts to peers and leaders from other disciplines
Experience working with remote/distributed teams is strongly desired.
Familiarity with the full ML Ops cycle.
Demonstrated track record of thinking outside the box to use new data sets to influence outcomes.
Oh, and don’t worry, we’ve got you covered!
Medical, Dental and Vision Insurance
Flexible PTO policy
Very generous equity options and 401K
Parental Leave
Continuing education and professional development
Disability and Life Insurance
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
|
Data Science And Data Engineering Internship Summer | Crowdstrike |
#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.Company Overview:CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. We encourage all prospective candidates to apply if their background matches the expertise below.Fully Remote:The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.About the Role:
You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioural threats.
Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate an visualise analyses, results and processes in our machine learning pipeline
Minimum Qualifications:
Penultimate or final year of a Masters programme
Penultimate or final year of a PhD programme
Analytically minded with completed coursework in linear algebra and statistics or an equivalent knowledge of applied mathematics.
Experienced in writing python code to pre-process and analyse data to generate actionable insights.
Bonus Points:
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analysing such data to gain actionable insights
Eagerness to learn working in a Linux environment in the AWS cloud
Passionate to gain knowledge of CI / CD and associated best practices along with Docker-based development and orchestration
Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)Prior experience with Spinnaker, Relational DBs, or KV Stores
What You Can Expect
Remote-first culture
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned one-on-one mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays, sick days, and optional enrolment into pension plans
Market leader in compensation
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.#LI-HP1#LI-RM1#LI-Remote
We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
|
Data Scientist | Flock Safety |
Company Overview
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global. Now surpassing a 3B valuation, Flock is scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information
How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center
The Role
Flock is looking for a passionate Ops Data Scientist to explore, mine, and build data, and leverage it using advanced analytical techniques to help drive critical business decisions.
How you’ll make an impact:
Perform analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities
We’re looking for people who have:
BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
3+ years proven experience as a data scientist, ML engineer, or BI engineer
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Experience modeling data to drive analytics
Experience in Tableau
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood
Our general interview process is outlined here.
Our Values
Our values define how we approach our work every single day:
Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community
To read more about our values click here.
Why Join Us?
We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more.
94% of employees recommend working at Flock Safety
Incredible product-market fit. Flock fits that “goldilocks” set of price, functionality, and service
We are scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Uniquely mission-driven company. Making communities safer through objective, evidence-based technology.
Key Stats
3% of crimes in the US are solved by Flock
Flock cameras help solve ~200 crimes/day
70% of all crime involves motor vehicles
2100+ cities with private cameras
1500+ agency relationships across the US
195% police customer retention rate
1B+ images processed a month (we process more images than Instagram)
Employee Benefits
In this role, every full-time employee receives equity (stock options) in the company and a salary range of $120,000 - $140,000 commensurate with experience.
We offer unlimited PTO and twelve paid holidays (Your Birthday, New Year’s Day, MLK Jr Day, Memorial Day, Juneteenth, Fourth of July, Labor Day, Thanksgiving, Day After Thanksgiving, Christmas Eve, Christmas Day, and New Year’s Eve)
We offer fully-paid health benefits plan for employees, including Medical, Dental and Vision
We provide 16 weeks of 100% paid leave for primary caregivers and six weeks of 100% paid leave for secondary caregivers
We provide $150 per month work from home allowance
We provide a $250 per year L&D stipend that can be used on Audible, Calm, Masterclass, Duolingo, and so much more
Each new hire receives a one-time stipend of $750 to assist with expenses that come with setting up a home office
We provide employees who are not local to the ATL headquarters with coworking space access paid for by Flock
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
|
Principal Applied Scientist Machine Learning Engineer Commerce Graph | Cardlytics |
Reports to: Senior Director of Engineering
Powering the business requires a deep, semantic understanding of the real-world entities at the core of commerce including businesses, merchants, payment channels, customers, and all the ways they interact. The Commerce Graph team is responsible for constructing a unified model of these entities across data sources. The graph is the source of truth on which the team also builds solutions for transaction understanding, data discovery, data mining, and exploration. It enables partner teams across the company to build richer campaign offerings, develop deeper targeting models, provide merchant insights, and more.
You will:
Lead data analysis, research, and development of core techniques for integrating and enriching massive datasets to construct a rich, semantic graph representation of commerce in the real world
Collaborate closely and build rapport with product and engineering teams across organizations to influence long term strategy for the team and organization
Research and implement state of the art approaches for information extraction, data normalization, inference, entity reconciliation, NER (Named Entity Recognition) / NEL (Named Entity Linking), and truth discovery at scale
Own the end-to-end lifecycle from inception to production deployment
You have:
6+ years of hands-on experience in data science, machine learning, and/or natural language processing over large data sets
Experience developing, launching, and maintaining ML models in a production setting
Knowledge and experience with graph data models and algorithms, graph ML, and semantic data representations are a plus
Experience working with cloud-based tools for data analysis and ML lifecycle management is a plus
MS or PhD degree in Computer Science or a related field
You are:
Skilled and knowledgeable in the latest machine learning techniques
Self-motivated and passionate about building high quality solutions
A strong cross functional team player, working with product and engineering counterparts across organizations to support business critical applications
Excellent at problem solving through experimentation and rapid iteration
An effective communicator and mentor with a data-driven, solution-oriented mindset
We offer:
$1,000 annual Lifestyle Spending Account - Company funded account that can be used for physical, emotional, and financial wellness!
Flexible PTO
Healthcare benefits that go into effect day one
Employer funded Health Savings Account (HSA)
Paid Maternity and Paternity Leave
Competitive compensation
Up to $5,250 annually for educational assistance and student debt repayment
$250 initial home office stipend + $900 annually for communication ($75/month)
401k company match (50% of contributions up to 5% of earnings)
Programs for spot bonuses, referral bonuses, anniversary milestones, mentoring, top performer development, and more!
About Cardlytics
At Cardlytics (NASDAQ: CDLX), we created an industry…but we are just getting started. From idea inception at a kitchen table in Atlanta to now publicly traded on NASDAQ with offices around the world, we are proud of the work we've accomplished and are looking for more smart and creative minds to join us on our mission.
By using data for good, we connect brands with real people through their banks' digital channels (think: online and mobile apps). And when we make these connections, everyone wins - brands drive more sales, banks drive more loyalty, and people receive more cash back. It's that simple.
So how exactly does it work? Through our partnerships with financial services companies like Chase, Bank of America, Wells Fargo, and Venmo, we have insights into one out of every two card swipes in the U.S. This equates to roughly $3.1 trillion in annual purchase spend from more than 161 million bank customers.
Respecting this complete view of the consumer, we can create mutually beneficial relationships between those consumers and their favorite brands and financial services partners. These are relationships that otherwise would not have happened without our help. It's our advanced targeting that drives advertising performance - because performance matters, and it's our superpower.
Are you ready to become a shareholder and join a team filled with creatives and data scientists, consultants, and artists, to help redefine marketing?
We are committed to diversity, equity and inclusion, and leveraging our unique perspectives to grow our company to new heights, while ensuring Cardlytics is a great place where great people want to be.
|
Senior Data Scientist Emerging Market Apac | 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 looking for a results-oriented and strategically minded Product Data Scientist to work with our International Growth team as Reddit expands its user base abroad. In particular, you will be focused on understanding how content is created on Reddit and enable users to post more fluidly abroad. This is a truly zero-to-one role where you will be able to work with Product, Engineering, Design and other cross-functional partners to uncover greenfield and white space opportunities.
How You’ll Have Impact:
Today, a large portion of Reddit’s user base lives in the US. Reddit’s mission is to bring community, belonging, and empowerment to everyone in the world, which means we are making a major push to expand our audience internationally. Emerging Market is a key focus for Reddit’s international growth and we need you to be a key player in driving our content strategy abroad.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating the performance of existing Reddit features for international users, as well as uncovering opportunities for new experiences.
You will work side by side with a world-class org of Engineering, Machine Learning, User Research, Community Operations, and Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in exploratory analysis, machine learning, and experimentation.
Responsibilities:
Partner cross functionally with Eng and Product leads to help define and execute Emerging Market’s roadmap and initiatives
Become the expert at understanding user behavior and growth mechanism
Generate data-driven insights that propose the next steps in the strategic roadmap through proactive exploratory analyses and opportunity sizing
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Required Qualifications:
6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with international growth preferred
Benefits:
Annual Personal & Professional development funds
401k Matching Plan
Flexible PTO
Paid holidays + Wellness days
#LI-Remote #LI-NH1
|
Data Scientist | Liveramp |
Data Scientist, LiveRamp Safe Haven
LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
About this role: LiveRamp is seeking a Data Scientist to join our Safe Haven team. In this role you will tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that our Safe Haven provides them.
You will:
Act as a subject matter expert (SME) on how to efficiently leverage the Analytics Environment within LiveRamp’s Data Collaboration platform in order to help clients enable their use cases
Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insights to support client campaigns, products, or business decisions
Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)
Collaborate with client on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs
Identify data gaps and advocate for additional data sources to meet unmet marketplace need(s)
Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods
Prepare compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
Work with the internal engineering teams to provide input to the data science product roadmap
Provide mentorship and guidance to other data analysts/scientists where necessary
Your team will:
Help customers make sense of datasets from across the ecosystem and find meaningful value in sharing data with Safe Haven.
About you:
Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)
3+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
3+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision
3+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision
2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling
Solid understanding of current data science best practices and technology stacks
Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations
Hands on experience with propensity modeling, lookalike modeling and segmentation
Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions
2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner
Experience with cloud computing services such as GCP
Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Bonus Points:
Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
Understanding of omni-channel campaign measurement methodologies
Proficient with the application of analytic methods in digital and mobile channels
Proficient with direct and/or interactive marketing test design
Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques
Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space
Data privacy/security and related governance processes (Privacy Impact Assessment, CCPA, GDPR, etc)
Benefits:
People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Whole Health Package: Medical, dental, vision, life, disability, long term care, accident and critical illness insurance, pre-tax accounts (health, dependent and commuter), and a family forming benefit through Carrot. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace)
FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel and entertainment, convenience and security expenses. (U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located
More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
|
Principal Data Scientist Customer Analytics | 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
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business. We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way. We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programs
You will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolio
Involved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progress
Be a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insights
You will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fields
Understand and analyzing digital campaigns at scale - Pre-Post Analysis, A/B testing
Expertise in SQL and proficiency in another data programming language (Python, R)
Create raw data and analysis into well-written content
Experience designing and analyzing experiments that impact product decisions
Passionate about customer experience, and customer analytics as a craft
Share analyses and recommendations to non-technical audiences
Understanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To learn more about our culture and hiring process, explore our Candidate Resource Hub.
|
Associate Data Scientist Graduate | 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
Join Atlassian to start your career with us to have impact on how millions of users collaborate and use software. The most amazing thinkers—like NASA rocket scientists and Tesla engineers—are coming to us for solutions. We're in the business of developing software to help teams everywhere get amazing ideas on the ground and into the world. Sound like an exciting place to start your career? Here you'll be encouraged to use your imagination and try new things. You'll be guided (as we are) by our core values, and you'll be supported by some of the best minds in tech. You will report to one of our analytics managers within our marketing organization.
Not eligible for Visa sponsorship. Unfortunately, we do not offer U.S. work visa sponsorship to F-1/OPT, J-1/TN, or H-1B student graduates at this time.
What you'll do
Work with partners to identify high impact opportunities for analytics, and align analytics & data science priorities with our partner's strategy
Improve user journey and customer value by managing large volumes of data to understand insightful trends
Guide the measurement culture and understand the impact of our partner's strategy; including designing and analyzing experiments and feature launches
Envision, scope, and implement projects by collaborating with partners, customer research, data engineers and other data scientists
Share your high-quality recommendations to multiple levels of leadership to guide important decisions and shape overall company strategies
Foster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
Must be currently enrolled in a full-time degree program and graduating between December 2022 to June 2023
Experience with SQL and other programming languages
Experience with dashboard tools like Tableau, Micro-strategy, PowerBI
Can commit to a full-time (40hrs / week)
Have a passion for Data Science, expressed by previous internships, work experience, projects, or publications
Please note: At this time, this role is only open to entry-level candidates with less than a year of professional experience (this does not include internships/co-ops)
It's great, but not required, if you
Have experience with machine learning and predictive modeling
Have a general understanding of supervised learning, optimization, and statistical analysis
Can translate business problems into technical solutions
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To learn more about our culture and hiring process, explore our Candidate Resource Hub.
|
Research Scientist Engineer Speech Recognition | Pearson |
We are the world’s learning company with more than 21,000 employees operating in 70 countries. We combine world-class educational content and assessment,powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people.
Responsibilities:
Perform the entire R&D cycle (building language models, training acoustic models, building statistical models for measuring the performance, etc.) for new and existing products that use ASR and automated grading
Design new algorithms for different purposes (such as improving the grading performance)
Perform data analysis for different requirements
Proactively research ways to apply the latest methodologies to improve the automated grading system’s capability, reliability, and accuracy
Maintain grading system
Qualifications
Required experience will include:
Master’s in Computer Science, Electrical Engineer or relevant areas with 3-5 years working experience; Ph.D. or ABD (all but dissertation) with graduation in plan preferred
Strong desire to integrate research with product development and augment your research abilities with solid programming in C/C++ and proficiency with SQL, Perl (or Python), and Matlab (or R)
Skilled knowledge of speech recognition, probabilistic systems, and statistical models
Strong background in statistical modeling and machine learning
Demonstrate a willingness to learn and apply a wide range of technologies
Experience with linguistic and statistical analysis of natural language would be highly desirable
Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI are a plus
Strong written and verbal communication skills
#LI-POST
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here: http://www.pearson.com/careers/diversity-and-inclusion.html
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.
Job: PROFESSIONAL DEVELOPMENT
Organization: English Language Learning
Schedule: FULL_TIME
Req ID: 6822
#LI-REMOTE
|
Statistical Analyst | Pearson |
Pearson is the world’s learning company, operating in nearly 200 countries around the world, with over 20,000 employees. We provide content, assessment and digital services to schools, colleges and universities, as well as professional and vocational education to learners to help increase their skills and lifelong employability prospects. We aim to support learners throughout their lifetime for every moment that matters – whether this is exam preparation and success, graduating from university, getting a new job, studying for a postgraduate degree, changing career, or looking for a new challenge.
From world-class assessment to virtual learning and beyond – we create the products and services that help tens of millions of people reach their goals each year. And we make sure our products fit with our key sustainability targets – to make learning accessible to everyone, to lead responsibly, and to give the next generation the skills they need to shape a better world.
Our vision is to have a direct relationship with millions of lifelong learners and to link education to the way people aspire to live and work every day. To do that, we will collaborate with a wide group of partners to help shape the future of learning. Our purpose is to help people make progress in their lives through learning.
We also believe we are at our best when we harness the unique skills, perspectives, and backgrounds of every employee.
The Statistical Analyst position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team. Pearson research scientists provide the full range of psychometric support to state and national customers, develop innovative techniques and processes, and conduct cutting-edge research studies.
Pearson Statistical Analysts provide data analysis support to Psychometricians to deliver large-scale custom assessment programs. Our Statistical Analysts are strong problem solvers who can leverage and extend existing analysis procedures to perform analysis tasks, are well-organized, and display the ability to collaborate. We are looking for candidates with strong technical and data analysis skills who are able to handle ambiguity and are looking for a challenge.
General Duties and Responsibilities
Takes direction from Ph.D. level research staff
Conducts analyses using exploratory techniques such as data mining, data summarization, and statistics.
Authors analysis tools according to specifications.
Executes software development discipline.
Work with a variety of data structures and with files that are moderately complex.
Evaluates the suitability of data for specific analysis purposes.
Evaluates outcomes from analyses to determine the accuracy, quality, and usability of those outcomes for the purposes for which they were conducted.
Prepares, formats, and manages data for use by internal groups.
Work directly with subject matter experts and technology staff to fulfil contract deliverables.
Meets schedules while working independently, sometimes in high-pressure situations.
Travels to fulfil some tasks. Travel is expected to be 5% to 10%,and is typically scheduled in advance.
What our employees have in common, regardless of collegiate background or training, are: strong quantitative skills, strong problem-solving skills, and strong communication/collaboration skills that can be applied to routinely ambiguous situations that involve large amounts of data. The education, experience, and responsibilities associated with this position include:
Education and Work Experience
Bachelors degree & at least one year of work experience in a data processing environment
OR three years of work experience in a relevant data processing environment
OR masters degree in statistics or related quantitative field
Familiarity with Psychometric Principles and Theory
Applies basic psychometric techniques in a job setting, including classical test theory, item response theory, test equating, scaling, linking, and standard setting
Evaluates the reasonableness of analysis outcomes
Familiarity with Data Structures and Office Software
Preferred candidates have demonstrated experience with statistical analysis platforms such as SAS or R;
OR demonstrated experience with software languages such as C#, Python or Java
Demonstrates experience in using office software such as Word and Excel
Demonstrates experience working with a variety of data files and folder organizations
Experience with Software Development Principles
Demonstrates evidence of software development discipline
Communication Skills
Possesses strong communication skills, (oral, written, and business). Our employees must have the ability to independently collect specifications and document the solutions they will implement.
Coordination and Task Management Skills
Has basic experience taking an active role in making sure all groups have the necessary psychometric information
Has basic experience implementing data handoffs and processing schedules with some oversight
Has basic experience following coordination processes developed by psychometric team
This position is not considered a specialty occupation, and therefore does not qualify for H1B or Green Card sponsorship.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado and New York City laws, the pay range for this position is as follows:
Minimum full-time salary range is between $55,000-63,000.
This position is eligible to participate in an annual incentive program, and information on benefits offered is here here.
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here: http://www.pearson.com/careers/diversity-and-inclusion.html
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.
Job: PROFESSIONAL DEVELOPMENT
Organization: Assessment & Qualifications
Schedule: FULL_TIME
Req ID: 9183
#LI-REMOTE
|
Data Scientist | Sportradar |
Synergy Sports, A Division of Sportradar, is looking for a talented Data Scientist to join our software team.
Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.
Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as:
Sports Workflow Applications
Sports Analytics Systems
Synergy Sports is a globally distributed company, with employees working from home offices. The role must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.
Requirements
5+ years of experience in data science or data engineering related role
Demonstrated, creative problem-solving using data analysis
Applied experience with regression analysis and other statistical modeling techniques
Strong proficiency in Python
Fundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..)
Bonus Superpowers:
Experience scaling and operationalizing data science models in production settings
Experience working with MongoDB, MySQL, or other relational/noSQL databases
Software engineering background
Sport-specific analytics experience
Previous experience leading a team
Benefits
Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.
A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
Competitive salary based on your experience.
Pay Range: $106,000 - $171,000Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.
|
Data Scientist | Elementus |
About us
Elementus is a data-first pioneer focused on solving the biggest challenges in crypto. Backed by the most comprehensive data set in the market and patented algorithms built to trace the flow of funds, we’re able to provide powerful visualization of on-chain activities and insightful analytics so our customers can unlock both the power and promise of blockchain.
Whether starting out with compliance, looking to assess bad actor risk, or interested in valuable insights on which to build out a web3 strategy, our platform provides customers with a 360-degree view of data and the deep attribution capabilities needed to start and scale their business on the blockchain with confidence.
We are looking for an ambitious and self-motivated Data Scientist who shares our passion for blockchain data and the endless opportunities this data presents.
The Role
We are looking for gritty, technical Swiss Army Knives who are enthusiastic about quickly translating customer needs into elegant, stable, and performant software solutions. You should be comfortable interacting with the stack at every level, excited to move fast and exercise a bias towards experimentation and operate in a fast-paced, often opaque environment. Your job is to figure out what needs to get done and do it.
Can you balance trade-offs between the speed of delivery and perfection?
Is your code production-ready and a stable foundation for continuous iteration?
Do you love working in new verticals, rolling your sleeves up, and solving fantastically hard data problems – often ones that have never been solved before?
If so - we want you on the team!
Core Responsibilities
Proactively identify opportunities where data can enhance our understanding of Blockchain. Support the core of our data science process
Collaborate with the engineering and business team to coordinate timely product delivery cycles
Build and maintain the operational toolbox for the data science team
Build, improve, and maintain the blockchain entities’ attribution knowledge base
Requirements
Comfortable working with SQL/No-SQL databases and eager to learn graph databases
Advanced skills in at least one programming language such as Java, Python/Pandas, JavaScript/Node
Solid understanding of blockchain technology
Ability to read white papers, replicate and improve results
Curiosity in creating proprietary graph algorithms as well as applying graph data science to blockchain data
Degree in a technical or quantitative discipline, such as statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
You should be comfortable venturing into new and unknown directions while maintaining clarity of purpose. The problems we work on rarely have clean, definitive answers.
Stand Apart By Demonstrating
Curiosity about blockchain and technology in general
Proactivity in identifying problems and asking the right questions
Resourcefulness in finding data sources and gathering data
Versatility in attacking problems with different tools and from various angles
Compensation
The base salary pay range for this position in New York City is $130K-$160K annually; however, base salary pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and Restricted stock units may be provided as part of the total compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Elementus internal or external careers site.
Perks
Medical, Dental & Vision Insurance Coverage
Life Insurance
Unlimited PTO
Paternal Leave
Flexible Work Schedule
9 Paid Holidays
WFH Stipend to support your home office needs
EEO Statement
Elementus is an equal opportunity employer and we’re proud of our ongoing efforts to foster diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Elementus are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristics protected by applicable law.Elementus aims to provide reasonable accommodations for applications with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to [email protected] with your specific accommodation request.
By submitting your application, you agree that Elementus may collect your personal data.
|
Enterprise Data Scientist | Core Main |
Job Summary
Working as a collaborative member of our team, you will use data science and machine learning techniques to help drive deep data analysis and uncover insights that will enable the business to make strong and strategic decisions. You will work with data engineers, data analysts, business experts, and external vendors to initiate our machine learning journey at Core & Main. Working cross-functionally to answer complex questions with data increasing efficiencies and improving customer experience. This role requires effective communication skills, relationship building and a focus on the overall business.Bring CREATIVE energy to the team. This person should enjoy working independently and turn failure into opportunity for improvement. Associate should be comfortable and confident in independent work and in risk taking. Based on our evolution this role will be provided the opportunity to grow as an expert in more than one data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Major Tasks, Responsibilities and Key Accountabilities
Extract data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates dataEmploy scaling & automation to data preparation techniquesDetermine analytics approach to solve business problems; incorporate advanced analytical methodologies including machine learning algorithms where appropriateFormulate some business problems into ML problems, owning the complete end-to-end ML/AI workflow and training ML modelsHelp identify value-driven opportunities to implement and embed ML/AI models in analytics workloads, data services and enterprise applicationsDesign and develop algorithms and models to use against large datasets to create business insightsTransform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.Ensure that developed codes are documented into a library of reusable algorithms.
Preferred Qualifications
Self-starter, attention to details and results orientated, able to work under minimal guidance.Proficient in communicating effectively with both technical and nontechnical stakeholders.Proficient utilizing statistical techniques to identify key insights that help solve business problemsAbility to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activitiesAdvanced competency and expertise in Python, R or other similar platformsStrong SQL, database and ETL skills including cleaning and managing data.Minimum of 3+ years in data science.Ability to educate others on statistical / machine learning methodsStrong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipelineExperience building complex data sets from multiple data sources, both internally and externally.Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline.
#LI-Remote
About Core & Main
Based in St. Louis, Core & Main is a leading distributor of water, sewer, storm drain and fire protection products in the United States. Operating approximately 275 branches nationwide, the company combines local expertise with a national supply chain to provide contractors and municipalities innovative solutions for new construction and aging infrastructure. Core & Main’s 3,500 plus associates are committed to the safe distribution of water and fire protection to help communities thrive. Visit www.coreandmain.com to learn more.
Core & Main is an Equal Employment Opportunity employer. Employment at Core & Main is based solely on a person’s merit and qualifications directly related to professional competence. Core & Main does not discriminate against any employee or applicant on the basis of race, creed, color, religion, national origin, nationality, ancestry, age, disability, veteran status, pregnancy or related condition (including breastfeeding), affectional or sexual orientation, gender identity or expression, marital status, status with regard to public assistance, citizenship, or any other basis protected by law.
None of the questions in this application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non-job-related information or protected characteristics.
For more information, please click here or visit https://www.eeoc.gov
|
Senior Data Scientist Ads Sales | Quora |
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit quora.com/eligible_countries for details regarding employment eligibility by country.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:
Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team
Minimum Qualifications:
Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
B.S., M.S., or Ph.D. in a quantitative field
4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams
Preferred Qualifications:
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product
Additional Information:
For Colorado based applicants, the minimum salary range is $129,000 - $171,000 + equity + benefits. For New Jersey and New York based applicants, the minimum salary range is $152,000 - $201,000 + equity + benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
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, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-DNI
|
Data Scientist Ii Analytics | Credit Sesame |
Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free. We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services. Our purpose is clear, to make financial inclusion and wellness a reality for everyone.
We’re looking for a Data Scientist who can help support product development. If you’re curious, have the grit to solve tough analytical problems, and want to be part of a team that helps create innovative products so millions can improve their financial wellness, then this opportunity is for you.
You'll...
Utilize machine learning and data analytics to develop anticipatory customer behavior profiles and patterns, as well as growth forecasting and predictive analytics approaches to achieve Credit Sesame’s strategic planning and management objectives.
Conduct quantitative research and analysis of data to arrive at actionable insights and recommendations.
Perform data analysis, data mining, data optimization, predictive modeling, and related machine learning tasks to develop and recommend novel solutions to complex business problems.
Utilize statistics, econometrics, and data science with advanced programming tools (Python, R) to perform data manipulation, data extractions, and interpret complex data.
Analyze, translate, and distill large data sets and patterns to support leadership decision-making and the development of responsive, project-specific management plans.
Utilize technologies and languages such as SQL, R, Python, as well as machine learning techniques and tools (K-means, Naïve Bayes, SVM), and data visualization tools (Tableau, Looker, Charito).
Collaborate with product managers, business developers, engineers, and marketers to translate data insights into actions and solve complex problems.
Produce accurate and efficient SQL queries to perform analyses, what-if scenarios, and evaluate software and application changes.
Partner with Business Development and Product teams to identify areas of optimization for various partners, verticals, and features, and implement improvements based on user segmentation and user behavior.
Ensure internal and external information usability through the application of data analysis and data quality management principles in cross-functional settings.
Interact with data source owners and contribute to the development and implementation of project plans and initiatives.
Leverage statistical/econometric analysis to help build specialized reports for revenue, business development, and related efforts.
You're a great fit for our team because...
Master’s degree, or equivalent, in Information Science, Data Science, or a related field
you have plus two (2) years of data science, business analytics, or related experience
you have plus two (2) years of automating ETL (Extract, Transform, Load) process by utilizing advanced programming languages;
you have plus two (2) years of building and evaluating machine learning models to predict customer behaviors and segment customer profiles;
you have plus two (2) years of simplifying and optimizing analytical practices by providing actionable solutions;
you have plus two (2) years of identifying key drivers of customer experience in both product levels and operational levels;
you have plus two (2) years of employing advanced data mining, statistical modeling, and experimental design methodologies to detect data patterns and solve specific business problems;
you have plus two (2) years of developing end-to-end self-service dashboards;
you have plus two (2) years of generating and maintaining real-time operation monitoring/reporting systems;
and you have plus two (2) years of utilizing technologies and languages such as SparkSQL, R, Python, Java, Elasticsearch, Cassandra, K-means, Naïve Bayes, DBScan, LDA, Hive, Tableau, and Random Forest.
Telecommuting Permissible.
You'll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
#LI-DNI
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
|
Data Scientist I Risk Analytics | Oscar |
Hi, we're Oscar. We’re hiring a Data Scientist I, Risk Analytics to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics to explain and predict key aspects of our business
You will report into an Associate Director of Data Science. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, company equity grants and annual performance bonuses.
Requirements
You have a Bachelor's degree and 2+ years of relevant work experience OR a Master’s degree in a quantitative field
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus Points
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, paid holidays, paid vacation and sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at [email protected] to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.
|
Data Scientist Special Initiatives | Ledger Investing |
About the Position:At Ledger Investing, we are building a market for a new class of financial assets that will have transformative impacts on casualty insurance, reinsurance, and institutional investors alike. These financial assets are fairly complex and involve expertise across multiple domains.
This posting is for a unique position within the Ledger organization. You will be a member of the Data Science team, as such, you will have regular opportunities to interact with other data scientists and contribute to analytical work at the company. However, the majority of your time will be spent working directly with the company’s CEO and Chief Data Scientist on special projects.
Many of the special projects will focus on demystifying what we do for the sake of both insurers and investors. We are particularly interested in building software tools that help clearly explain the nature of insurance risk, insurance market dynamics, the financial structure of insurance-linked securities, and other such topics. These tools will educate and empower the insurance and investing communities to better understand these novel assets.
About You:
Successful candidates will have all of the following attributes:
Strong skills in Python programming, including familiarity with the NumPy and SciPy libraries.
Demonstrated skills in translating high-level concepts and ideas into concrete, precise, and technically rigorous implementations.
Solid grasp of the principles of data visualization and ability to generate rich and insightful plots of quantitative data.
Experience with quantitative finance, including financial modeling.
Ability to communicate complex technical ideas to non-technical audiences.
Strong attention to detail and ability to work independently.
The following attributes will help candidates stand out from the crowd:
A graduate degree in finance, statistics, operations research, or another applied quantitative field.
Knowledge of the property & casualty insurance industry.
Familiarity with version control, especially Git/GitHub.
Experience with simulation-based modeling and/or operations research.
Your Benefits:
Competitive salary, bonus potential, and equity compensation
Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
Uncapped paid time off
Paid Holidays
401k
Medical, dental, and vision insurance - multiple plans to choose from
Company paid Life and AD&D insurance
ClassPass - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
Up to $5,000 paid by Ledger towards your dream desk setup! Customize what works for you.
|
Principal Data Scientist | State Of California |
As a Principal Data Scientist with the Advanced Analytics and Evaluation team, you will be the point person in providing innovative advanced analytic and data science support for projects across California. You will serve as the principal data scientist on a wide variety of data science projects across the state. In this capacity, you will serve as the lead advisor on exploratory, statistical, and predictive analytics to inform data-driven decisions.
You will lead the evaluation of the best approach for projects from an ethical lens, as well as statistical lens. You will help spread the adoption of ethical best practices by advising data teams across the state on responsible, effective, and ethical data science practices.
You will collaborate with the team’s data engineers and data analysts on projects and be the lead on identifying workflow improvements for the team’s data science practice. Years of experience is the primary distinguisher between our principal data scientist (5+ years) and senior data scientist (3+ years).
CalData works across all departments in the state, with data that reaches all Californians. You will find the problems and challenges we engage with need the heart as much as the mind.
About you: You are an experienced data scientist who wants to create impact at scale. The following bullets points describe you:
You are a responsible, thoughtful, and rigorous user of advanced statistical techniquesYou know from experience that modeling is one of many steps to drive data driven decisions makingYou want to bring the right approach to solve the client’s problemYou avoid needless statistical complexityYou are eager to consult, brainstorm, and advise other data teamsYou enjoy abstracting your approaches and helping to build capacity across multiple teamsYou enjoy the process of communicating and collaborating with both technical clients and non-technical clients to truly understand a problem and its dataYou have an eye for sustainability and take great joy in improving data science practices at scaleYou understand the concepts of institutional and structural racism and bias and their impact on data and analytics.
Location: ODI staff reside throughout California. The employee’s workstation is located in Sacramento, CA. Travel to the Sacramento headquarters may be required as needed. This position provides telework opportunities in accordance with agency telework policies. (Must currently reside in California)
Annual Salary: $147,540 to $164,328 based on experience
Benefits: The state offers many benefits
Last day to apply: Open until filled. First application review begins Wednesday, December 7, 2022
What you’ll do
Serve as the principal data scientist for advanced analytics and data science projects from across the stateServe as the data science methodology expert for the stateDefine best practices in advanced analytics and data science and help grow these practices within ODI and across the stateParticipate in project solicitation, vetting, and scoping processes to identify client projects across the state
Apply now
About ODI
We deliver better services to Californians through technology and design. We do so through close partnership with other state departments. Our goal is to create programs and products that are more equitable and effective. We listen to Californians who use a program now or may do so tomorrow and learn about what they need.
We:
Build tools and productsCreate and enhance digital servicesConduct researchIdentify data solutionsOffer training
We are a cross-discipline staff with blended backgrounds in:
DesignEngineeringProductOperationsDataResearchPolicyStrategy
Learn more about ODI’s vision and mission.
About CalData division
CalData uses data to deliver better decisions, services, and outcomes for Californians.
As the central data team for the state, we empower people to use data. We build infrastructure, develop processes, and train people to better manage and use data. We want the state’s data use to be:
EfficientEffectiveSecureResponsible
To help state departments use data well, we created California’s Data Strategy. We use a road analogy to illustrate the strategy. We must:
Build data roadsCraft rules of the roadBoost the drivers
Read the full strategy in Google Doc or PDF.
More details about CalData, our positions, and how we work are available in our Gitbook.
Diversity, equity, and inclusion at ODI
Diversity, equity, and inclusion help us deliver better government services to Californians.
Fostering diversity inspires better ideas and more innovative thinking.Feeling included nurtures a shared sense of community. This drives us to take collective action on challenging problems.Prioritizing equity ensures we build solutions for people whose needs are often overlooked.
We acknowledge our history and present of implicit and structural injustice, bias, and discrimination. We see, hear, and accept each other and the lived experiences we bring to our work. We support each other in learning and developing so we can help all Californians thrive.
We understand this work is never done. That’s why we commit to constant improvement.
|
Senior Data Scientist | State Of California |
As a Senior Data Scientist with the Advanced Analytics and Evaluation team, you will provide innovative analytic and data science support for client facing projects across the State of California. You will serve as the senior data scientist on a wide variety of data science projects from across the state. You will serve as a key advisor on exploratory, statistical, and predictive analytics to inform data-driven decisions.
You will help evaluate and decide on the best approach for projects from both an ethical lens, as well as statistical lens. You will help advise teams across the state on responsible, effective, and ethical data science practices.
You will collaborate with the team’s data engineers and data analysts on the projects. Years of experience is the primary distinguisher between our principal data scientist (5+ years) and senior data scientist (3+ years).
CalData works across all departments in the state, with data that reaches all Californians. You will find the problems and challenges we engage with need the heart as much as the mind.
About you: You are an experienced data scientist who wants to create impact at scale. The following bullet points describe you:
You are a responsible, thoughtful, and rigorous user of advanced statistical techniquesYou know from experience that modeling is one of many steps to drive data driven decisions makingYou want to bring the right approach to solve the client’s problemYou avoid needless statistical complexityYou are eager to consult, brainstorm, and advise other data teamsYou enjoy abstracting your approaches and helping to build capacity across multiple teamsYou enjoy the process of communicating and collaborating with both technical clients and non-technical clients to truly understand a problem and its dataYou have an eye for sustainability and take great joy in improving data science practices at scaleYou understand the concepts of institutional and structural racism and bias and their impact on data and analytics.
Location: ODI staff reside throughout California. The employee’s workstation is located in Sacramento, CA. Travel to the Sacramento headquarters may be required as needed. This position provides telework opportunities in accordance with agency telework policies. (Must currently reside in California)
Annual Salary: $130,008 to $160,008 based on experience
Benefits: The state offers many benefits
Last day to apply: Open until filled. First application review begins Wednesday, December 7, 2022
What you’ll do
Serve as the senior data scientist for advanced analytics and data science projects from across the stateHelp define best practices in advanced analytics and data science and help grow these practices within ODI and across the stateParticipate in project solicitation, vetting, and scoping processes to identify client projects across the state
Apply now
About ODI
We deliver better services to Californians through technology and design. We do so through close partnership with other state departments. Our goal is to create programs and products that are more equitable and effective. We listen to Californians who use a program now or may do so tomorrow and learn about what they need.
We:
Build tools and productsCreate and enhance digital servicesConduct researchIdentify data solutionsOffer training
We are a cross-discipline staff with blended backgrounds in:
DesignEngineeringProductOperationsDataResearchPolicyStrategy
Learn more about ODI’s vision and mission.
About CalData division
CalData uses data to deliver better decisions, services, and outcomes for Californians.
As the central data team for the state, we empower people to use data. We build infrastructure, develop processes, and train people to better manage and use data. We want the state’s data use to be:
EfficientEffectiveSecureResponsible
To help state departments use data well, we created California’s Data Strategy. We use a road analogy to illustrate the strategy. We must:
Build data roadsCraft rules of the roadBoost the drivers
Read the full strategy in Google Doc or PDF.
More details about CalData, our positions, and how we work are available in our Gitbook.
Diversity, equity, and inclusion at ODI
Diversity, equity, and inclusion help us deliver better government services to Californians.
Fostering diversity inspires better ideas and more innovative thinking.Feeling included nurtures a shared sense of community. This drives us to take collective action on challenging problems.Prioritizing equity ensures we build solutions for people whose needs are often overlooked.
We acknowledge our history and present of implicit and structural injustice, bias, and discrimination. We see, hear, and accept each other and the lived experiences we bring to our work. We support each other in learning and developing so we can help all Californians thrive.
We understand this work is never done. That’s why we commit to constant improvement.
|
Lead Data Scientist | Sword |
WHO WE ARE
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.
We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.
DATA SCIENCE TEAM
Our data science team is responsible for instilling and supporting a data-centric culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. They thrive at using Statistics and Machine learning to derive insights of a constantly evolving product.
What you’ll do:
Work alongside multiple verticals in the company to identify data-related opportunities
Provide insights about behaviours, trends and causal relationships to influence product development as well as the overall company’s strategy
Present findings in both written and oral form to relevant stakeholders
Participate in the design, execution, and analysis of experiments of product rollouts
Instill a rigorous statistical and testing culture across SWORD
About you:
5+ years of experience in Data Science roles
Experience using Descriptive and Inferential Statistics in the context of a product
Experience using Machine Learning to derive insights and find patterns in the data
Working knowledge of SQL as well as statistical packages (such as those in R or Python)
Experience leading complex and ambiguous initiatives with full autonomy
Ability to learn quickly and dive deep into new subjects
Ability to interface and communicate clearly with non-technical stakeholders
To ensure you feel good solving a big Human problem, we offer:
A stimulating, fast-paced environment with lots of room for creativity
A bright future at a promising high-tech startup company
Career development and growth, with a competitive salary
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare
A stimulating environment with room for creativity
A flexible environment where you can control your hours (remotely) with unlimited vacation
Access to our health and well-being program (digital therapist sessions)
Remote or Hybrid work policy
At Sword, we are proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company. The more inclusive we are the better our work will be.
Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares
Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages
|
Senior Data Scientist | Sword |
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain. Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented Sword specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward. We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.
Sword Health is looking for a Senior Data Scientist to lead the first AI/ML projects of the Predictive Solutions group, which will power the Sword platform from end-to-end. You will design, prototype and test novel clinical and digital interventions and models to predict every aspect of a member’s journey with Sword. You’ll leverage machine learning and deep learning (including recurrent and convolutional neural networks) to predict utilization, outcomes, and engagement across musculoskeletal health and pain conditions. You will be part of a new team at Sword that is helping our business grow to the next level through novel uses of member-level data. You will have a tremendous impact on millions of lives. Read on if you think you've got the right stuff.
What you’ll do:
• Lead data science projects to design, prototype and test novel clinical and digital interventions and models, leveraging machine learning and deep learning (including recurrent and convolutional neural networks) to predict utilization, outcomes, and engagement across musculoskeletal health and pain needs.
• Leverage advanced programming and large datasets towards those ends, including structure and unstructured clinical notes, focused on developing domain expertise in digital health and musculoskeletal care.
• Work and collaborate with internal stakeholders (analytics, marketing, clinical operations, growth) to develop strategies and data science products to solve real world problems by optimizing member outcomes and engagement.
• Work alongside data engineers and product managers to deploy designed and well-tested ML models into practice, helping design appropriate frameworks to test and monitor ongoing model performance (e.g. model drift, data drift) and evaluate true downstream impact on care and operations (beyond predictive performance)
• Provide methodological, statistical, design and analytical guidance for new and ongoing operations and applied research projects.
• Lead our team to implement health risk scoring that unlocks new commercial opportunities
• Partner with business groups in the company to identify opportunities to deploy bespoke models that predict member engagement and create additional models to answer key questions about member behavior that drive product insights and improvements
• Be a founding member of the Predictive Solutions team
About you:
• Experience working with healthcare data especially ClaimsWorking knowledge of SQL as well as statistical packages (such as those in R or Python)
• Minimum 2 years working on multiple projects involving large data sets, including training, testing, and deploying machine learning algorithms into cloud environments, and specific experience with deep learning required (e.g., RNNs, CNNs, etc). Prior experience translating data findings and data science concepts for lay audiences, including the production of presentations for senior-level audiences (excellent verbal and written communication skills) also required.
• Advanced understanding of data science and statistical concepts, computer programming, and their applications to real-world data required. Specifically, strong programming proficiency (e.g., Python, TensorFlow, PyTorch, R, Spark, SQL). Prior experience with code repositories such as git or equivalent is also required.
• Ability to challenge existing ideas and develop and champion new ones that add value to the organization. Ability to analyze problems, issues and opportunities systematically and logically to make decisions that support the mission, vision, values and goals of the organization
• Understand the biases that data collection and sampling can introduce, and know how to design and implement methods that adjust for those biases when possible
• Love to discover how things work through the lens of data, are not intimidated by “messy” data sets, and enjoy communicating your insights to broad audiences
• Ability to communicate data science concepts to non-technical stakeholders
• Experience architecting and building bespoke predictive models
• Knowledge of healthcare (claims) data
• Advanced degree in a related field (MS or PhD)
Why you should join our rocketship:
• A stimulating, fast-paced environment with lots of room for creativity
• A bright future at a promising high-tech startup company valued at over $2bn
• Quarterly travel to HQ in Porto, Portugal (voted one of the best cities in Europe) Career development and growth with a competitive salary
• Chance to make healthcare work better for the people who need it most
• A flexible environment where you can control your hours (remotely) with unlimited vacationAccess to our health and well-being program (digital therapist sessions)Remote work policy (but chances to work in person at offices in NYC + Salt Lake City)
At Sword, we are proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At Sword, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company. The more inclusive we are, the better our work will be.
Sword Benefits
Comprehensive health, dental and vision insurance
Equity Shares
401(k)
Unlimited Vacation
Paid Holidays
Flexible working hours
Work from home
Parental leave
Free Digital Therapist for your family
Sword is proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At SWORD, we believe that diversity and inclusion among our applicants and team members is critical to our success as a global company. The more inclusive and diverse we are, the bigger our impact will be.
|
Senior Data Scientist | Thumbtack |
About the Data Science Team
We're looking for data scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.
At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:
Characterize marketplace dynamics. Thumbtack’s marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.
Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.
Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product.
Challenge
Our team is at the forefront of a massive amount of user data. We need to think a lot about both scaling as well as how to provide experiences for a wide set of users that we don’t necessarily know a ton about immediately. We are building experiences into our apps to onboard, engage, and re-engage our users and are constantly experimenting to produce delightful and consistent user experiences.
Responsibilities
Design and execute experiments, collect and analyze data to characterize our product
Architect and deploy machine learning systems to production
Design and implement metrics that align with company goals
Analyze a wide variety of data: structured and unstructured, observational and experimental
Collaborate with engineering, marketing, and economists to use sound statistical practices.
Must-Have Qualifications
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
M.S. or equivalent experience in Computer Science, Economics, Engineering, Math, Statistics, or other relevant technical field
Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.
Ability to effectively read, write, and debug code in programming languages such as Python
Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
Excellent written and verbal technical communication skills
Nice-to-Have Qualifications
Ph.D. in Computer Science, Economics, Engineering, Math, or Statistics
Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Experience with large-scale distributed systems
Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Ontario or the Philippines. When it is safe to gather, we will begin to host in-person events on a regular basis. Remote employees will be expected to travel occasionally for these events to a Thumbtack library or offsite team-building location. In cities with 5+ employees, we are establishing local communities, where employees can gather for local events. Additionally, employees in the San Francisco, Salt Lake City, Toronto and Manila areas will have opt-in access to communal workspace at one of our Thumbtack libraries. We always prioritize the health and safety of our employees. Currently, participation in these events and Thumbtack library use are optional. Both require employees to be fully vaccinated.
#LI-Remote
|
Staff Data Scientist Lonely Planet | Red Ventures |
As a Staff Data Scientist on the Red Ventures Travel team, you will create innovative solutions to solve business problems by using advanced machine learning, statistical modeling and optimization techniques and turning them into real world solutions for decision making online or offline. You will solve business critical problems inside a company that has a strong culture of measurement, testing, and optimization across all facets of its marketing and customer acquisition activities. You will see your contributions make a material impact to the business bottom line. This role specifically focuses on several highly visible travel brands including The Points Guy, Lonely Planet and Elsewhere. This position can be hybrid in Charlotte, NC, New York, NY, or can sit remotely for those in Eastern or Central time zones.
What You'll Do:
Lead our site and mobile personalization model implementation.
Understand business strategy and identify innovative data science opportunities that can lead to significant business impact in a rapidly growing business
Set the strategy and drive the execution plan for large data science initiatives, projects and programs to drive the business into its next evolution
Bring relevant state-of-the-art data science technologies to the team and lead by example to establish best practices
What We're Looking For:
5+ years experience as a Data Scientist or PhD degree in STEM with specialization in machine learning, statistical modeling and optimization
Expert knowledge of machine learning, predictive modeling, statistics and data science in general. Knowledge and experience in marketing channel optimization, customer behavior/journey modeling and prediction, product recommendation systems, online testing is highly desired
Proficiency in one or multiple data science programming languages such as R, Python and Spark
Experience deploying end-to-end data science solutions and capable of engaging at all stages of the ML solution life cycle, from ideation to production.
Capability of communicating effectively with business and data science leaders on project status, timeline and technical results
Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
Capable of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success
Must be comfortable with unstructured, fast moving and constantly evolving high-growth environment
Applied experience with machine learning on large datasets
Compensation:
Cash Compensation Range: $150,000 - $220,000 *Note actual salary is based on geographic location, qualifications, and experience.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
#LI-REMOTE
#LI-TL1
#LP
|
Director Data Science | Circle |
What you’ll be responsible for:
As a Director, Data Science at Circle, you’ll work closely with the Business, Product, and Engineering to produce analysis, machine learning solutions, and scalable data practices. You’ll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:
Drive data science efforts, communicate cross-functionally, and be a subject matter expert
Create road maps and help prioritize data science work
Support the individual and career growth of team members to minimize attrition and maximize output
Partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including crypto ecosystem understanding, fraud detection, and risk management
Help your team ideate and execute on the right analysis, models, and stories
Become an expert on data sources and flows at Circle
Evangelize the power of data science to understand and improve our business and operations.
You will aspire to our four core values:
Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
Mindful - you seek to be respectful, an active listener and to pay attention to detail.
Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.
High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance.
What you'll bring to Circle:
12+ years of industry experience working with and analyzing large data sets
5+ years of experience with technical leadership and people management
Knowledge of a scientific computing language (Python) and SQL
Theoretical and applied expertise in statistics, experimental design, and analysis
Strong communicator who can take complex ideas and methodologies, and simplify them for non-technical audiences
Ability to understand complex business problems and break down analytics projects into a structured approach
Track record of developing, managing, retaining data scientists individual contributors and managers
Experience managing remote teams
Additional Information:
This position is eligible for day-one PERM sponsorship for qualified candidates.
|
Data Scientist | Circle |
What you’ll be responsible for:
As a Data Scientist, Analytics at Circle, you’ll work closely with product stakeholders and engineers to better understand our products and enable better decision making with data. Your job will include making sure teams are focused on the biggest opportunities, defining success metrics and goals, and communicating insights throughout the company. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:
Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions
Communicate the state of business, experiments results and recommendations to a broad team and senior leadership
Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem
What you'll bring to Circle:
3+ years of industry experience working with and analyzing large data sets
Experience in data analyses using SQL and at least one programming language (e.g. R, Python)
Understanding of statistics and experience applying them to business problems
Experience planning and executing analytical projects
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data or crypto is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics, compliance, risk areas.
Experience manipulating large amounts of structured and unstructured data.
Additional Information:
This position is eligible for day-one PERM sponsorship for qualified candidates.
|
Senior Data Scientist | Fuzzy |
The Company
Fuzzy is a health and wellness pet company building for the pet parent. We’re changing the way pet parents think about caring for their pets, looking to empower the pet parent by putting caring for our pets on autopilot. At Fuzzy, we work every day to make veterinary care more accessible. Of the 200 million dogs and cats in the US, more than 100 million receive no veterinary care.
Through technology we’re creating a different type of relationship between vets and pet parents - one that is personal, empowering, and for the long haul.
The Role
The Fuzzy Data Science team partners with people across the company to drive the business forward with data. We’re looking for help understanding our data, making predictions to improve our product and customer experience, and optimizing our processes.
We collect data from a wide variety of sources, and our ideal candidate for this role will be someone with experience building successful models while being data-driven, curious, and a clear communicator.
Responsibilities:
Develop a thorough understanding of our data and interpret them as they relate to pet parent behavior, pet medical records, care delivery outcomes, and product development.
Build predictive models and optimization routines, with applications ranging from text recognition and classification, care recommendations, churn prediction, and optimizing internal processes.
Collaborate with other members of the Data Science & Data Engineering team on ways to approach problems, improve code, and share new techniquesWork with functional team leaders (in Product, Digital Health, Marketing, etc) to explain your analysis, findings, and recommendations.Find opportunities for improvement across the business and assist in decision-making across teams.
What We're Looking For:
4+ years of experience with predictive modeling, machine learning, and data scienceStrong eye for detailHigh degree of proficiency with one of Python or R
Proficiency with SQL
Bachelor’s Degree in a quantitative fieldComfortable writing and debugging production code
Nice To Haves:
Experience deploying predictive models in a cloud environment (we use AWS)Experience with batch and real-time compute models
Experience with BI and Analytics tools (we use Tableau and Amplitude)
We know that great work comes from great, and inclusive teams. At Fuzzy, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Fuzzyrs and individuals.
We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. Fuzzy is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. If you have a disability or special need that requires accommodation, please let us know.
|
Data Scientist Tooling | Zipline |
About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.
Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You and The Role
Zipline is hiring a data scientist to support analysis of the vast amounts of data produced by our autonomous aircraft and various IoT devices. In this role, you’ll analyze data produced by these hardware devices, produce compelling visualizations, and enable others to do the same. The ideal candidate will be excited about developing high-quality code and user-friendly tools that help team members derive insights from our data. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do
Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Create reusable reference notebooks and material that will be leveraged by several teams to carry out high-value analyses.
Drive essential improvements towards the user-friendliness and efficiency of our Python libraries for interfacing with hardware data.
Serve as an internal consultant on our data metrics definitions and actively steer efforts to raise code quality.
Partner with our data engineers to identify opportunities to simplify and speed up data analysis by making upgrades to our data pipelines and data formats.
Partner with upstream engineering teams to refine data logging patterns and resolve data quality issues.
Document and evangelize the value of our data tools to engineers and other cross-functional partners.
Spend time with your customers and use their feedback to create a roadmap that you’ll execute against.
What You'll Bring
Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, Numpy, Scipy, and Matplotlib.
Adept at summarizing large datasets visually that make complex results understandable at a glance.
Strong understanding of descriptive statistics, probability, and statistical modeling.
Experience working with continuous integration and continuous deployment processes and tools.
Skilled at translating a general question or problem into clearly defined analysis and presenting actionable insights.
Adept at ruthlessly prioritizing critical analysis requests and balancing multiple high-value projects, deadlines, and stakeholders at once.
A desire to continuously improve your work and the work of others.
Experience listening to customers, identifying opportunities, and creating roadmaps and detailed project plans.
Enthusiasm to work closely with engineering teams and develop domain knowledge about hardware and software across the company.
Passion and excitement to serve as a technical mentor and thought leader.
Nice to haves:
Experience with Databricks or PySpark
Experience building interactive visualization suites
What Else You Need to Know
Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you’re based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most) and overlap working hours with both GMT and PST time zones.
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
|
Senior Data Scientist Healthtech Algorithms | Pearl Health |
Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in the United States. 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…
8+ 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
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.
Remote Work and Covid-19
We are a remote-first company, 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 remain remote after the pandemic ends.
If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.
Compensation and Benefits
The expected base pay range for this position is between $140,000 and $170,000 per year. Base pay is one component of Pearl's total compensation package, which also includes access to healthcare benefits, a 401(k) plan and company match, possible equity options, and much more. Please visit our benefits page for more information: https://pearlhealth.com/our-benefits/
#LI-Remote
|
Senior Trust Safety Data Scientist | Rec Room |
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all!
As the Data Scientist on Trust & Safety, you will help make Rec Room safe, inviting, and inclusive for people from all walks of life. We want everyone to play, socialize, and express themselves free from harassment and discrimination.
WHAT YOU'LL DO:
Lead our DS effort in identifying malicious actors who are trying to detract from that experience.
Research and define our core T&S KPIs to help us monitor our system.
Dive deep into the patterns of fake accounts and identify opportunities for stopping them.
Look into fraudulent financial transactions, build our ML models to identify bad actors, and integrate with our support and moderation teams to stop them.
Work closely with our operations team to develop tools to improve efficiency
Have the opportunity for broad impact across all facets of Rec Room.
WE ARE LOOKING FOR INDIVIDUALS WITH:
5+ years of analytics experience, with a proven track record of deriving insights that lead to product changes
2+ years in a fraud detection or integrity focused role within a consumer based app
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Effective communicator with the ability to distill complex concepts into easily digestible insights
A Bachelor’s or Masters in Math, CS, or related field
COMPANY INFO TO KNOW:
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! We are building first-party games and user-generated content tools that allow our players to make their own games and spaces, and to sell their creations across multiple platforms (mobile, console, VR).
We are offering full time Co-Ops & Internships to Graduate Students & Seniors who are interested in working in the Games Industry. These are paid internships where you will be embedded on a development team, with the goal of shipping features to Rec Room by the end of your Co-Op or Internship.
WINTER 2023: JANUARY - MAY
EXAMPLE RESPONSIBILITIES:
Build the tools that allow creators to sell wares via the in-game economy
Design and build creative tools that players use to collaboratively build within Rec Room
Proactively prototype new ideas and solutions
Use metrics to track feature performance and inform design decisions
Build robust systems and tools that can stand up to malicious actors
Contribute creatively to the game and economy design process
Work on a broad variety of features and systems cross collaboratively with other teams as needed
REQUIREMENTS
Bachelor’s degree in computer science or equivalent experience
Experience in games or a closely-related field (school projects or small/indie games are great)
Experience using and/or familiarity with Unity, Unreal, or a similar game engine
Fluency in C#
Excellent written and verbal communication skills
Ability to work in a fast-moving, ambiguous development environment.
A constant desire to learn, improve, and help others improve
To be eligible to participate in our internship/co-op program, you must be available for full-time work during our core hours (10:00am - 4:30pm Pacific Time).
BONUS POINTS
Strong interaction design & implementation skills
Experience with live services and rapid-deployment
Experience with metrics/telemetry
Experience with and passion for in-game economies
Experience with and passion for User Generated Content
Experience with and passion for design
Ability and interest in converting to full time at the end of the internship
Company Info to Know
The base pay range for this position is $138,750-231,250 per year; however, the base pay may vary depending on job-related knowledge, location, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
|
Data Scientist | Bestow |
ABOUT BESTOW
Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.
We strive for work-life balance and believe happy employees make for better experiences and happier customers. It’s a model that helped us land on Forbes’ Best Startup Employers 2021 and 2022 lists!
Open to Dallas, Austin, or (US) Remote
#LI-Remote
Data Science at Bestow is a rapidly evolving team with a diverse set of problems to solve. We analyze and manipulate massive datasets, build algorithmic models to make predictions, and optimize decision-making by reinforcing choices with data. At Bestow you will be working on all aspects of the data science pipeline from project requirements to production deployment. We use cutting-edge machine learning and data warehouse technologies to create a cohesive environment for experimentation and analysis. In addition to the standard suite of analysis tools involved in data science projects, you will be engineering and developing infrastructure and code to facilitate everything from training models to serving those models in production and integrating your products with those of other teams. Communicating results effectively to both technical and non-technical audiences is a skill all of our data scientists must possess as we work closely with the entire organization.
Challenges On Which You Can Expect to Work: At Bestow we leverage data to build the best customer experience in the term life insurance industry. You will work on building attribution, propensity, and response models to gain deep knowledge and comprehensive understanding of the customer and work with the marketing teams to run better targeting, funnel optimization, and audience selection experiments to finally drive towards automation of campaigns. As a leader in the digital life insurance space Bestow is driving innovations around the way risk and pricing are currently modeled in the industry. You will be working alongside the underwriting and actuarial teams on cutting-edge work building an underwriting engine driven by Machine Learning. This will require out-of-the-box thinking around using new data sources available to us including health data to create new ways of modeling mortality, eligibility, and pricing.
Data Science and Machine Learning Infrastructure Developing and optimizing our Data Science environment is a powerful way for us to enable our team to work efficiently. This also helps us integrate well with other teams by having a secure and standardized way to work and gives us a basis on which to discuss our problems and solutions. We currently use Kubeflow and its associated components. We leverage Google BigQuery as our data warehouse. We use Jupyter notebooks and Python code to compose sophisticated machine learning pipelines and experiments. Collaborate across teams to identify project requirements and metrics; Work closely with Data Engineering team who perform data analysis and cleaning using a host of ETL tools; Train and tweak machine learning models to make predictions; Use statistical evaluation techniques to refine models over time based on performance metrics; Production engineering - after a model is developed, we see it through to production; Communicate with the organization by interpreting models and results for non-technical audiences
Analytics We work closely with analytics teams to enable them to do their work effectively as well as refine their insights into predictive analytics through machine learning. This involves acquiring knowledge and insight from various domains and refining it into high-level motivation for decisions within the organization or models to increase our products’ efficacy. Our Data Science team follows agile methodology as all our other engineering teams.
About You:
3+ years of data science experience
Experience with marketing work (propensity models, attribution models, response models, audience selection, and retargeting)
Programming and Statistics/Mathematics experience
Professional experience with a variety of machine learning algorithms
You like building and evaluating experiments under statistical rigor
Solid Python 3 and Software Engineering principles
Experience with notebook and analytical environments (Jupyter, R)
Clear, concise written and verbal communication
Desire and willingness to learn
Display initiative and autonomy as well as cross-team collaboration
It would be great if you had:
Experience with Kubernetes Cluster Orchestration & Management Framework
Experience deploying models into production and managing uptime and performance
Experience in creating software products like APIs and web applications
Total Rewards:
Generous compensation package
Stock options
Flexible schedule and work/life balance
100% company-paid health, dental, and vision insurance
Choose your computer setup (13” or 16” MacBook Pro)
Team building events and activities
We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.
|
Senior Data Scientist | Sofi |
Social Finance Inc. seeks Senior Data Scientist in San Francisco, CA:
Job Duties: Work with business unit leaders and product teams to identify businessopportunities, measure KPIs to craft compelling stories, make data-driven recommendations,and drive informed action. Own end-to-end product analytics workflow including formulatingsuccess metrics, socializing them across the organization, and creating dashboards/reports.Design, analyze, and interpret the results of experiments that could optimize productperformance. Work cross functional with engineering, product teams, and data architects toensure data is being captured and reports are accurate. Act as a curator of data by defining,instrumenting, and tracking necessary analytics of our product. Build self-service systems toenable others in the organization to leverage your work. Leverage in-house, external and otheropen-source machine learning software/algorithms. Research and apply superior data andmethodology for the models. Perform ongoing monitoring of the models through constructionof dashboards and KPI tracking. Telecommuting Permitted.
Minimum Requirements: Bachelor's degree in Computer Science, Mathematics, Statistics,Physics, Engineering, or related quantitative field plus two (2) years of experience in relatedoccupations.
Special Skill Requirements: Requires 2 years of experience with: Business analytics, KPIdashboard development, business performance analysis; Designing and building predictivemodels using statistical and machine learning techniques (e.g. logistic regression, linearregression, random forest, neural networks, gradient boosting); Proficiency with SQL, R, Python,Tableau; Strong stakeholder management skill. Telecommuting Permitted.
Submit resume with references to: Req.# 21-12153(CP) at: ATTN: Rae Myles, [email protected].
|
Senior Data Scientist | Boulevard |
BOULEVARD | ABOUT US
Boulevard was founded with the fundamental belief that personal care should be convenient for all. Our mission is to maximize the potential for salons and spas, as well as the clients they serve.
Developed in collaboration with industry-leading owners and operators, our scheduling, point of sale, and conversation platform was carefully designed to drive revenue, automate workflows, and convert customers from visitors into valuable, long-term clients. By facilitating a better, personalized experience across every transaction and interaction, Boulevard’s technology not only helps salons and spas to survive but thrive. Take a look at how we (and YOU) can make that happen.
INSPIRE INNOVATION
We are diligent about solving hard problems and are not afraid to challenge conventions or question the status quo. If our ambitions aren't terrifying, we aren't pushing ourselves enough.
We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most.
Come do the best work of your life at Boulevard
As Boulevard evolves, understanding data patterns across our platform becomes both more challenging and more valuable. This is a critical position that will help us further understand our various customer segments. You’ll see the bigger data roadmap and work within our data analytics team to develop statistical and machine learning models to deliver business insights and improve our customer experience.
What you’ll do here:
• Work with the latest technologies to develop and optimize advanced statistical and machine learning models to inform business strategy and improve customer experience
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Boulevard partners, service providers, and clients interact with each other and with our platform
• Influence product and leadership teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc
• Monitor key business metrics, understanding root causes of changes
What you’ll need to thrive:
• Education/Experience: Bachelors/Masters Degree preferred with 4+ years of experience working within an analytical role
• AWS/Modeling: Strong experience in various machine learning and statistical modeling techniques, ideally on AWS
• Technical Languages: Strong SQL skills and proficient in a statistically focussed programming language, preferably Python
• Analytical: Solve analytical problems using quantitative approaches and various modeling techniques across the company
• Communication: Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
• Timely: Able to prioritize and meet deadlines
• BONUS POINTS A quantitatively focused education (Statistics, Economics, Computer Science, etc.) | Prior experience at a start-up or growth-stage company
Within 1 month you’ll…
• Graduate from Boulevard’s platform training course Connect with and understand how each department and key stakeholders across the company leverage data
• Understand and document the current data landscape
• Learn the core business objectives and company KPIs
• Develop and deliver your first model/data insights
Within 2 months you’ll…
• Prioritize our highest opportunities for data modeling with the greater analytics team
• Enable new data insights by combining your models with existing analytical processes
• Begin to field requests for analysis and models, prioritizing requests from leadership with the analytics team
After 3 months you’ll...
• Take ownership over our models and implement quality assessment and tuning goals
• Actively participate in interviews and be a key contributor in the growth of the data team
• Evolve our data science strategy alongside business objectives
• Showcase to the engineering team and company your contributions and enhancements to our data capabilities
BENEFITS
In addition to the wonderful people, you’ll get to work with (meet some of them here!) and challenging projects that’ll push you - Boulevard is here to make sure you’re always at the top of your game emotionally, mentally, and physically.
Take a break whenever you need to with our flexible vacation day policy.
Fully remote so you can choose where you want to work.
Health is a priority, so we’ve got you covered with dental, medical, vision, and life insurance.
Investing in the future with a 401(k) matching option.
Work from home stipend every month.
Family planning resources and specialized support programs.
Boulevard Bucks Learning & Development program allows employees to explore businesses in the market we serve.
Equity: get ahead on the ground floor and grow with Boulevard.
NOT CONVINCED?
Hear what Leo, one of our architects, says about life at Boulevard.
Read through what our customers are saying about our product.
Check out our latest product release and how we’re continuously working to improve.
Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too.
Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
|
Data Scientist | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Plan
Remote Position, fully work from home (or wherever you like!)
Flexible PTO plus a floating holiday
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)
|
Data Scientist Consumer Marketing Analytics | Reddit |
Reddit is looking for an enthusiastic and motivated individual to help us understand the value of our paid marketing efforts around the world. While Reddit has experienced very strong organic growth throughout its history, as we expand into new markets, marketing is a key growth lever. This role will work with Reddit’s consumer marketing team to analyze the effectiveness of marketing programs and user behavior that will improve marketing decision making. This role is responsible for making sure marketing spend data is accessible and accurate for data analysis, analyzing the value of customers acquired through marketing channels, and influencing marketing decisions through scenario development and modeling. This role will play a pivotal role in helping execute our global growth strategy leveraging paid media channels.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities
Improve and maintain marketing data accessibility
Develop dashboards to analyze marketing spend performance
Analyze the behavior of customers acquired through paid marketing channels
Develop lifetime value models to estimate the value of users acquired through paid marketing
Conduct in-depth post-campaign analysis to help the team understand performance and opportunities for improvement
Work closely with cross-functional teams such as product and finance to model, analyze and influence the impact of multiple scenarios
Requirements
2+ years of experience in data analysis and reporting focused on consumer product usage patterns
Understanding of the core Reddit experience and passion for Reddit
Strong analytical skills, comfortable with data analysis and statistics
Ability to work with cross-functional teams and partners to
High attention to detail with ability to manage multiple projects simultaneously
Intellectually curious with demonstrated ability of performing thorough data analysis
Proficient using SQL & Python
Knowledge of visualization tools such as Tableau/Looker/Mode a plus
|
Senior Data Scientist Frontend Platform Analytics | Reddit |
The Clients Platform organization at Reddit is focused on bringing a modern, performant, high quality and cohesive experience to Reddit’s iOS, Android and web frontend platforms.
As a Data Scientist in the Clients Platform org, you will partner with cross functional teams to ensure data is a key part of our decision making process and power the stories we share org-wide about our user’s attributes and actions, including where you’ve discovered interesting opportunities. Ultimately, your work analyzing user trends, identifying behavioral insights, and showcasing the results to directly impact the product roadmap will help to shape the future of Reddit’s front end platforms.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Partner with senior leaders in Product to define the right vision for how Reddit should be thinking and talking about the core user experience based on how users actually interact with the site
Leverage analytics to understand key user journeys to inform decisions about the future of the product
Develop and maintain KPIs related to the user experience, performance, and quality, and monitor how they change with updates/new releases by creating custom automated reporting (e.g. dashboards)
Analyze and interpret metrics resulting from A/B tests, and contextualize the results for cross-functional stakeholders across Product, Design, Research, and Leadership teams
Build and own data analysis products and analytical processes (ETLs, data collection and aggregation, experiment measurement) to support with the activities described above
Lead and/or partner with other PMs and DS on time-sensitive investigation into metrics variation for platforms within the Clients Platform ownership
What We Can Expect From You:
2+ years of experience in analytics roles, including communicating insights to stakeholders
Bachelor’s degree or above in a STEM major
Proficiency in SQL required, additional experience with python or R preferred
Experience with dashboarding tools and data visualization (e.g. Tableau, Mode, PowerBI, Looker, etc)
Familiarity with experimentation and causal inference analyses
Consumer product, consumer goods, or e-commerce experience preferred but not required
|
Applied Scientist | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy, and increase economic freedom around the world.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams to ensure we are focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
Team Overview
Bring applied scientific approach to crypto space. Build scientific models to enable crypto based open financial systems. Stay at the forefront of crypto innovation such defi, NFT, L2, etc.
Read more about our values and culture here.
What you’ll be doing:
Defi/NFT protocol scientific research. Stay at the forefront of crypto innovation and conduct deep data driven scientific research of defi protocols such decentralized exchange, defi borrow/lend, yield aggregation, insurance etc
Leverage statistical and machine learning models to on-chain and off-chain data to drive insights and products
Build model and scalable data-driven API and services to drive both internal and external use cases
Publish rigorous data and model driven crypto scientific research and contribute to the broad crypto ecosystem
What we look for in you:
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Masters or Phd degree in a scientific field (Computer Science/Math/Statistics, etc.)
Ability to express real-world problems in quantitative terms and determine the appropriate approaches to use to tackle the problems
Understanding of advanced statistical and machine learning techniques and apply appropriate ML model (eg deep learning vs logistic regression) to the problem at hand
Proficient in at least one programming language (e.g. Python, Golang, Java, C++ or like)
Experience in applying these technologies in end to end production settings: Apache Airflow, Spark, Kafka/Kinesis, Snowflake etc
Nice to haves:
Financial service industry experience building scientific models a plus
Passionate about or willing to dive deep into crypto innovation
Experience with solidity or web3
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
ID=G1894
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
|
Nlp Data Scientist | Marigold Health |
Marigold Health is looking for an NLP Data Scientist to develop novel NLP that can better serve patients. You will be pivotal to researching, building and testing the ML and NLP infrastructure within all parts of our organization. This work is perfect for someone with a few years of data science background who is excited to join our small, distributed team and make a significant impact on how we use data science. You’ll work with the executive team on a daily basis to enable data-driven decision making. If you’re excited about how technology can be used to support people through mental health and substance abuse treatment, we want to hear from you.   
About Marigold  
Marigold Health exists to give every person with a mental health or substance use condition a place to feel heard.‚ÄĮ¬†We have designed an asynchronous-first treatment program where patients support each other. We believe peers, individuals in recovery themselves who have received training to support others, can empower and engage those least likely to interact with current forms of care.¬†¬†¬†
What You'll Do
Setup data processing and annotation pipelines  
Implement and A/B test NLP models that run on patient and provider messages 
Build features that enable providers to see explanations for model results  
Work with engineers to make the backend ML infrastructure scalable 
Work with the product team to finalize and execute on the roadmap 
Assist Clinical Ops decisions with insights extracted from data  
Contribute to Marigold’s federal research grants 
Reporting, Schedule and Location: This is a FT opportunity reporting directly to our Chief Data Scientist. Most team members work virtually from home and are located on the east coast and internationally. You can work remotely from anywhere in United States but should expect to be available during east coast hours and occasionally travel to the company’s office in Boston, where our HQ is located, as COVID-19 restrictions ease. Travel costs will be covered by the company. We also have an office in Delaware.  
Your Skills
3-5 years of data science experience, including 1-3 years in industry and at least 2 years of NLP experience
Strong experience with the Python data science stack: Pandas, scikit-learn, spaCy, PyTorch, etc.  
Preferred  
Background in Linguistics and/or Statistics  
Technical writing capabilities  
Prior experience with healthcare datasets  
Prior experience with data visualization   
Who You Are
Motivated by our mission to empower every patient with a mental health condition with their own voice and agency     
Proactive in self-directing work to areas of high impact    
Methodical and organized despite an unstructured environment     
Motivated by complex problems  
Why You'll Love This Role
Be directly involved with saving lives by deploying a first-of-its-kind treatment model    
Have a scalable impact as we expand nationally, using our technology to expand Marigold’s reach     
Contribute to and gain expertise from a diverse, interdisciplinary team that includes clinicians, data scientists, and peer workers
Compensation, Benefits and Culture
The base salary range for this role is $125-150K, depending on experience. In addition, as part of our founding team, this role will include ownership equity.  
Comprehensive healthcare coverage, including fully covered premiums for individuals (with the option to cover dependents for a cost) and a dedicated mental health benefit   
4 weeks of PTO   
Computer and equipment provided   
Company travel budget and professional development budget  
Interview Process
After you submit your application, it will be reviewed by the hiring manager and select members of the team. If it seems like we’re a good fit for each other, we will follow up and schedule a 15-30 minute phone call with one of our leaders to get to know you.  
If we jointly decide to move forward, you can plan to (virtually) attend a 45 video interview with the Chief Product Officer. The final stage would be to meet (2-4) other members of the team via video conference for additional conversations about your approach to collaboration, your relevant experience to current projects, and alignment with our values. All in, you can expect the time commitment for this stage to be 3-4 hours of synchronous interaction, scheduled to fit your needs.  
If you complete interviews, we will provide a decision or clear next step within five business days.  
We are ready to hire as soon as we find the right candidate. We can’t wait to meet you!  
More About Marigold
Marigold Health is‚ÄĮan early-stage, rapidly growing startup‚ÄĮproviding services for‚ÄĮa range of community based mental health and substance use treatment providers as well as national health insurers.‚ÄĮ‚ÄĮWe collaborate‚ÄĮwith leading investigators at Brown University and Johns Hopkins and have been publicly recognized by the National Institute on Drug Abuse‚ÄĮ(NIDA) and the American Psychiatric Association.‚ÄĮ‚ÄĮ¬†¬†¬†
Our program is a combination of 1-1 coaching and 24/7 anonymous chat support groups accessed over phone, SMS, and app/web. On the backend, proprietary natural language processing tools scale our peer workforce by augmenting group moderation, automating patient outreach, and sending sentiment-based ‚Äúalerts‚ÄĚ to coordinate care with other providers. Following strong results from our first clinical studies, we are entering a period of rapid growth, and expect to expand from 2 states today to 12 by this time next year.¬†¬†
Our core values are‚ÄĮauthenticity,‚ÄĮcandor, and‚ÄĮambition. Inclusion¬†is at the core of what we do. We‚Äôre working to bring care to the most underserved and stigmatized patients. We actively welcome applicants from a wealth of different backgrounds (including but not limited to race, gender, educational background, and sexual orientation). We must have diversity on our team and in our mindsets to be successful in moving the needle on the deeply entrenched and systematic challenges we face.¬†¬†¬†¬†¬†
 
Marigold Health is an equal opportunity employer.   
Questions? Email Satya[at] marigoldhealth.com for more info.   
|
Sr Machine Learning Scientist | Overjet |
Overjet is on a mission to improve oral healthcare for all.
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.
All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Sr Machine Learning Scientist to join us in our journey to build impactful and bleeding edge Dental AI and research. The ideal team member has a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.
.
You will
Develop algorithms and methods for disease detection, classification, and characterization from x-rays
Rapidly build proof-of concept prototypes and show what is possible with our products
Focus on scalability and productionalization of the models
Provide input and set boundary constraints for the machine learning infrastructure needed to scale our products
Listen to the go-to-market team and ensure we are building product that fits demonstrated market needs
You are
Results oriented - you want to see your work impact the customer
Ingenuous - you can cleverly set up MVPs that work on the critical KPIs
Endlessly curious - in an earlier life you annoyed your family with one word: “Why”
An experimentalist who learns by doing - You don’t abstractly wonder what is possible; rather, you rapidly test ideas and learn and iterate from feedback mechanisms
You have experience in
Prototyping computer vision models (CNNs in particular) - you have built both low and high fidelity concepts
Productionalizing CNNs - You don’t stop at the prototype. You find it equally stimulating to mature the prototype at scale
PhD or MS in Computer Vision, Machine Learning or related technical fields
Knowledge of applied mathematics and numerical optimization
|
Machine Learning Scientist | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
In this role, you'll get to:
Develop machine learning algorithms to predict customer lifetime value and drive business applications using these predictionsConstruct and refine AI algorithms to optimise our marketing and onboarding funnelsEmploy behavioural data and insights to intelligently customize the user journey, boost engagement and purchase rates and increase our number of active usersWork with our seriously large volume of analytics data to understand insightful trends and behavioursCraft machine learning and predictive models to drive intelligent product features
On your first day, we'll expect you to have:
Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering or physics)Industry experience in the data science or machine learning domainDevelopment experience in a programming language, Python is strongly preferredExpertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience developing, building and scaling machine learning models in business applications using large amounts of data. Previous experience in customer lifetime value, churn and propensity modelling is highly regardedAbility to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality but recognise the business benefit of “having something now” vs “perfection sometime in the future”Agile development approach, appreciating the benefit of review, constant iteration and improvement within a collaborative team environment
It's great, but not required, if you have:
Experience working in an enterprise or B2B space for a SaaS product provider, as well as the consumer or B2C spaceFamiliarity working with go-to-market (GTM), Strategy, Product and Growth teamsKnowledge of advanced machine learning and deep learning methods applied to digital user behavioursKnowledge of A/B experimentation
|
Senior Data Scientist Customer Analytics | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will have a business critical mission that will impact every aspect of our organisation. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / R strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritise your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
|
Senior Data Scientist Point A Marketing | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for examining complex data and turning it into useful information and insights? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the world's hottest SaaS company?
Atlassian is looking for Sr. Data Scientist to join our Marketing Analytics team supporting Atlassian’s new products under Point A. We’re seeking someone with strong business instincts and analytics mastery, who is passionate about applying these skills to drive smarter data decisions and ultimately, delight our customers. You'll be responsible for building success reporting from the ground up for Atlassian’s next generation of teamwork tools. You’ll do this by partnering with the ‘CMO’ of each new product to understand the business to define KPIs and develop data-driven insights and recommendations. Atlassian is a fast-paced, growth-oriented work environment and there are plentiful chances to create impact in this role.
In this role you'll get to:
Act as the analytics partner to product and product marketing teamsDevelop comprehensive program and product views of Point A go-to-market performance by defining user journeys, forecasting and measuring product performance, and making strategic recommendations for improvementDesign and implement reporting dashboards to track performance trends across Point A products and provide measurable insights to both executive leadership and marketing teams
On the first day, we'll expect you to have:
You have a bachelor or higher degree in a quantitative field (e.g. mathematics, computer science, economics), or equivalent experienceYou have demonstrated experience applying analytics skills to drive projects which have had proven impact to strategic decisionsYou have a strong ability to communicate and can explain complex concepts to diverse audiences and crafting compelling storiesYou use excellent judgment and sharp business instincts to prioritize competing asksYou have experience leveraging data to set KPI targets, forecast performance, and measure success.You have familiarity with a broad set of topics and disciplines within marketing analytics (e.g. campaign attribution/effectiveness, web tracking, customer lifecycle marketing)You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented codeYou are proficient in at least one visualization & business intelligence platform (e.g. Tableau, Looker, Mode)
It's great, but not required, if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsExperience with statistics and probability in a business setting
|
People Research Scientist | Salesforce |
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.About Futureforce University RecruitingOur Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.Job CategoryProducts and TechnologyJob DetailsLooking for an opportunity to apply your research skills and expertise to improving employee experience and people strategy? Operating as part of the People Analytics ecosystem at Salesforce, the Research team is a small team of people research scientists and listening specialists working to help inform and transform Salesforce’s people strategy. In this newly created role, we’re looking for a people research scientist to join the team. As a Senior People Research Scientist, you will perform research, evaluations, and analyses into the employee experience at Salesforce. A key success indicator for this role will be the ability to provide timely, accurate, understandable, impactful, and actionable research insights to executives and senior leaders to help inform and transform people strategy. The ideal candidate will have strong quantitative skills, and demonstrated ability to apply organizational research methods and theories to create impactful research insights.On the team, we all get our hands dirty, and all love working with data to solve business challenges. Critical to our team’s trusted reputation is our ability to partner with and influence key stakeholders, design and implement the right analysis approach, and provide insights that can be easily understood and used by the business. We use data from multiple systems and sources to produce thoughtful analysis with little direct guidance and an understanding that the results may be iterative. Our point of view matters to our stakeholders, so the ability to illustrate complex analysis in a concise and simple fashion using tables, charts, graphs, and stories is important to our success. Most of all, the team succeeds by being curious.So are you ready to create new knowledge, help us think differently about how we do things, and help enhance the people strategy of one of the best places to work in the world?Responsibilities:
Conduct statistical analyses connecting multiple sources of organizational data to provide accurate, thoughtful, and actionable insights on people issues and strategies
Partner with teammates, leaders, and stakeholders across Employee Success (HR) and Salesforce to develop a deep understanding of current and emerging people issues and challenges, identify priorities for research, and execute impactful research projects, evaluations, and analyses
Assist in the redesign of our employee surveys and listening program by identifying and advising on which data/questions are most impactful/informative at different points of the employee lifecycle
Work proactively to identify emerging opportunities for research insight and propose new research projects or analyses
Provide subject matter expertise and advice on research design, data collection, survey/questionnaire design, and/or program evaluation to technical and non-technical audiences
Contribute to developing and executing on the team’s research agenda
Collaborate with data engineers to access data and explain data requirements
Collaborate with people analytics consultants to communicate findings to senior leaders and business partners
Communicate analyses and results, along with implications, to technical and non-technical audiences
Demonstrate impeccable ethics and judgement when dealing with confidential data
Share research insights both inside and outside the organization to become a thought leader in this space
Required Skills/Experience:
PhD in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Management, Organizational Development, or related degree)
Experience conducting empirical research in organizations, including research design, data collection, statistical analysis, interpretation of results, and making actionable recommendations
Demonstrated ability to translate business strategies, needs, and priorities into research questions or hypotheses, and select and apply appropriate research methods and/or statistical analysis approaches to provide actionable insights back to the business.
Demonstrated ability to conduct analyses using R Studio, R, or Python, specifically data cleaning, manipulation, basic descriptive analyses, mean difference testing, and range of regression analysis approaches.
Subject-matter expertise and experience in employee surveys/employee listening, applied organizational research methods, and program evaluation.
Deep expertise or specialization in at least two areas related to employee experience, such as but not limited to: leadership, learning and development, employee wellbeing/occupational health, employee engagement and retention, diversity and inclusion, teams, organizational change and development, employee motivation/reward/performance, or organizational culture.
Preferred Skills/Experience:
Expertise and applied experience in at least one advanced analysis technique such as multilevel modeling/HLM, latent growth modeling (LGM), time series analysis, NLP or topic modeling, ONA or other similarly advanced/novel/emerging analysis techniques.
At least 2 years experience in either an industry or applied research setting
Experience working in tech or other fast-paced industry setting
Demonstrated expertise and interest in questionnaire/survey design and employee listening approaches
AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Lead Senior Data Scientist Developer Productivity | Salesforce |
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 DetailsThe Developer Productivity Experience (DPX) team owns the building of all production artifacts from 10s of millions of lines of source code. In doing so, hundreds of thousands of VMs are spun up each day to build and test features and do final validation of the code before it is run in production. At Salesforce scale, it is not just about checking everything but checking the right things at the right time to provide confidence in our software. Our mission is to make developers more productive with a reliable system and actionable data. Examples of the questions we are trying to answer include:
You have 1.2 million tests and you only have time to run 1% of them in 1 hour. Which ones do you choose?
Using data on test executions, the source code, production stack traces, and how developers respond to failures (e.g. which test failure do they look at first), how do you assess the value of the test?
A complex piece of software is modified by hundreds of teams simultaneously, how can you assign a numerical value to the risk of a particular change?
Looking at production stack traces, how do you identify patterns and associate them with the source code?
You have hundreds of microservices that depend on each other and an integration test is failing. How do you create and assign bugs to the right team?
A Data Scientist with our team must possess both the AI/ML skills to improve the performance of our classifiers and recommender systems, as well as engineering skills to build and deploy a production-quality service. The ideal candidate:
Has in-depth knowledge of Artificial Intelligence and Machine Learning
Has a strong grasp of the foundational ML principles
Has experience coding in Java
Has experience coding in Python
Analyzes data using Jupyter notebooks
Core Qualifications
BS in Computer Science or a related field such as Applied Mathematics, Neuroscience, Electrical Engineering, Physics, etc.
AWS/SageMaker or GCP cloud experience
Either Java and/or Python proficient
Experience with Agile development methodology
Experience with containerization approaches
Preferred Qualifications
Advanced degree (PhD preferred) in Data Science or related field
Industry experience, or proven contributions to open source or competitions (such as Kaggle)
Experience with large-scale classification and recommender systems
Experience with large-scale Continuous Integration (CI) testing and analysis
Knowledge of MDLC (Model Development Life Cycle), to include Data Modeling, ETL, and Data Engineering
Practical experience in writing code or leading teams that leverage python data science libraries such as numpy, scikit-learn, pytorch, tensorflow etc.
Strong SQL optimization and performance tuning experience in a high-volume data environment that uses parallel processing.
Familiarity with business intelligence and data visualization tools (such as Tableau).
Knowledge of Static Analysis, Compiler Design, and Programming Languages a plus.
GCP platform experience is a plus.
Understanding of data governance practices such as metadata management, data lineage, and data glossaries is a plus
AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Product Manager Data Science | Salesforce |
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 DetailsData Intelligence (Di) is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, adoption insights to the utmost trusted and curated data, the Data Intelligence team is the unbiased partner to all data trailblazers at Salesforce.What You Will Do:As a Product Manager, Data Science, you will join a team of data scientists, data engineers and analysts who lead the agenda for building trusted data products at Salesforce. You will report to the Director, Data Science, and be responsible for the success of internal data products that influence decision-making across all levels within Salesforce: from our customer support agents to the C suite. In this role you will:
Own and drive all aspects of a product area from product vision to delivery to adoption. Translate product strategy into roadmap, detailed requirements and prototypes.
Feel comfortable switching from talking about the advantages of using random forests with data scientists to how we should achieve product-market fit with senior product leadership
Develop relationships with our customers (internal senior leaders, VP+) to build empathy for their needs, inform product strategy, and ensure their lasting success
Be known for your creativity in finding opportunities to make Salesforce even more successful with data driven insights and predictions
Collaborate with fellow data teams to ensure we’re working towards a cohesive customer solution in a large and complex environment
Partner with your engineering leaders to shepherd projects through all phases, from formulation to deployment.
Who You Are:
You have 3-5+ years of related experience
Entrepreneurial spirit focused on impact, balancing effort to value, and getting things done
Curious, creative, opinionated thinker, and charismatic storyteller
Have delivered machine learning- or analytics-related projects as a product or technical leader
Hands-on expert in analytics, comfortable with SQL, Python, R, or any other tool of your choice
Not afraid of project management in a matrixed enterprise environment
Enterprise software geek. Passion for the Salesforce product is a plus!
Perks
A company that cares and leadership team that gets it
Competitive salaries and generous equity
Excellent health insurance (health, dental, vision, fertility)
Generous, family-friendly wellness perks that include unlimited time off and six months parental leave
Offices in downtown San Francisco
We are open to remote locations! AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Director Data Science | Salesforce |
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 hiring a Director of Data Science to lead a global, cross-functional Data Science team focused on the evolution of the Slack product! As a leader on the Data Science team, you will deliver data and insights that drive decision-making, execution and investments for our product initiatives in a dedicated area of the business. This is a one of a kind opportunity that includes team buildup, foundation setup, and collaboration model establishment. Success requires analytical savvy, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. We are looking for someone that can think on their feet and thrives in a dynamic environment. Enterprise product experience, with an understand of the end-user will be key to this role.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. If this sounds like a good fit for you, why not say hello?What you'll be doing:
Build and lead a high performing DS team, drive professional development goals of the team
Set a compelling vision and prioritize work based on product strategies and overall goals
Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
Work cross functionally with the rest of PDE org to influence product strategies and roadmaps, help build and influence a data informed decision making culture
Synthesize learnings and insights. Communicate a data narrative around product usage, tying this into the overall Slack strategy
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation. Jump in when needed!
Partner closely with product researchers, and when appropriate, align roadmaps and collaborate on projects to answer complex questions
Build partnership and alignment with our data cross-functional partners, including Data Engineering and Business Intelligence, to author and develop core data sets and empower operational and exploratory analysis
What you should have:
7+ years of experience in product data science in related tech industries
2+ years experience in a product DS managerial role
Ability to build clear and concise presentations, and communicate effectively at every level of the organization
Strong project management skills
BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Skill-Set/Technologies used daily: Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurementFor Colorado-based roles: Minimum annual salary of $166,600. 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/AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Senior Lead Data Scientist | Salesforce |
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 Details***** If you are currently in college/ grad school or have less than 2 years of experience - please check out FutureForce job opportunities at Salesforce:https://www.salesforce.com/company/careers/university-recruiting/Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!Salesforce has a number of teams hiring Product Analysts/Data Scientists with a variety of experience across, but not limited to, the following types of teams:
Pricing Intelligence
AppExchange
Infrastructure Analytics
Each team is made up of data scientists, engineers, growth analysts, and information management experts who are dedicated to driving product strategy with data-driven insights. Teams with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and deliver useful insights that impact product strategy.
As a Senior/Lead Data Scientist, you will be partnering with the Product, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses. The successful candidate will need to:
Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as a Senior Analyst/ Data Scientist you will develop and own the relationships with senior stakeholders
Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to accelerate business growth; this requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them
Partner with the data engineering team and product engineering team to instrument, acquire, develop and structure data assets that are critical to measuring the success of our products
Own the delivery by working with data engineers and business intelligence engineers to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards)
Research, develop and implement automated algorithm deployment pipelines and processes
Evangelize and distribute data products that drive action or product improvement
Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes
Who You Are:
Analytical thinker with a passion for using data and scientific methods to solve business problems (5+ years of experience in product analytics or data science)
Proficient with common analytical programming languages e.g. Python; expert in SQL
Expert in end to end data development, including data model design, quality review, deployment and maintenance
Experienced in developing and deploying data science models, especially in the Cloud environment
Passionate about automating data that directly solving business problem
Charismatic storyteller ready to lead growth conversations with senior leadership
Lover of building relationships and collaborating in a cross-disciplinary environment.
Preferred Qualifications:
Technical education in Quantitative or Technical Degree program (Master’s degree or higher preferred)
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.)
Experience in time series forecasting methods
Salesforce will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
For Colorado-based roles: Minimum annual salary of $82,400. 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/.You can find other info there as well- including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!Open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) *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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Senior Data Scientist Growth | Stash |
Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in our home, in an office, or a combination of both. Anywhere in the US or UK.
Let’s solve complex problems and tackle wealth inequality.
Stash is looking for a Senior Data Scientist experienced with marketing and acquisition teams to build reliable, scalable, and performant data systems and software.
This role will partner closely with Growth Marketing to drive data driven decision making using attribution modeling, incrementally testing, and LTV modeling to build the financial advisor of the future.
We look for strategic thinkers and creative problem solvers with a bias for execution. You can expect to contribute code as well as product/feature ideas from the get-go.
If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, we would love to hear from you!
What you’ll do:
Partner with Growth Marketing to drive data driven decision making using attribution modeling, incrementality testing, and LTV modeling
Collaborate with Growth Marketing on channel/campaign experimentation and A/B testing; opportunity size, plan and analyze tests
Build and maintain scalable data systems and infrastructure that empower our marketing, product and business teams to make better decisions
Develop ETL pipelines that enhance source data to create more actionable insights
Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
Make rigorous statistical inferences from A/B testing on our product and customer segments
Who we’re looking for:
4+ years of experience; most recently working with marketing and acquisition teams, evaluating full value of specific channels
SQL proficiency, with an understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
2+ years of professional programming work in Python, or similar
Experience with Pandas, R, or other statistical modeling frameworks
Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
Knowledge of Looker or similar front end analytics platforms
dbt, Data Engineering and ETL experience is a big plus!
#LI-JB1
#LI-REMOTE
At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races, genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.
Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve. As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible please reach out to [email protected].
Invest in Yourself:
Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
Flexible PTO
Learning & Development Fund
Work from Home Stipends
Parental Leave [Primary & Secondary]
Recognition:
BuiltIn’s Best Places to Work (2019, 2020, 2021)
Forbes Fintech 50 (2019, 2020, 2021)
Best Digital Bank, Finovate Awards (2020)
Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
LendIt Fintech Innovator of the Year (2019 & 2020)
**No recruiters, please**
|
Data Science Co Op July December | Liberty Mutual |
Help shape the future of Data Science across Liberty!
As a coop in Liberty Mutual’s Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve some of Liberty’s most challenging problems.
The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.
If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you!
Why you may enjoy working in the Office of Data Science:
As a centralized group, our project scope is vast. Possibilities include:
Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond.
Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV).
Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers’ data.
Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques.
Engage in theoretical research in collaboration with a top-tier academic institution (link) to shape the future of AI
You’re good at and offer:
Working knowledge of data science and machine learning techniques
Ability to exchange ideas and convey complex information clearly and concisely
Fluent in Python and other relevant programming languages
Job Specifications:
Reference: 2022-45026
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$26.00-–-$32.00-/-Hour
Education Level: Bachelor’s Degree
Travel: As Needed
|
Director Of Data Science | Vinli |
DIRECTOR OF DATA SCIENCE
Remote Role (US Preferred)
About Vinli
Vinli’s team is transforming the mobility industry via our next generation data intelligence platforms. Our passion is building products and services that unlock the true value of connected cars by showing drivers, passengers and organizations the potential hidden within their vehicles' data. We were founded in 2014 and are backed by some of the biggest names in transportation (Cox Auto, Samsung, Continental) venture capital (First Round Capital, Westly Group) and energy (E.ON). We are partnered with some of the largest players in the mobility industry – including ALD Automotive. Remote work has been a successful part of our cultural DNA since long before 2020. Future members of our team should be intellectually curious, self-starters whose work history demonstrates the courage to create and the maturity required to bring products to market.
About The Role
Vinli is looking for exceptional Data Science talent to add to an already amazing team. You’ll have the chance to work with the latest big-data technologies and rich, diverse data sets in an agile, cloud-native environment. As Director of Data Science at Vinli, you’ll lead a team working in partnership with a group of amazing engineers to transform your insights into impactful products and beautiful analytics experiences for our customers.
You should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. There will be many opportunities to forge your own path and demonstrate individual excellence here at Vinli, all while pulling together with a team who is ready to support you and eager for your help. Plus, we have a lot of fun together! Join us in creating the future of mobility.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our existing and potential future customers interact with automotive data, tangential data sets, and Vinli analytics productsMentor and guide team members on project work and take responsibility for analytics project deliverablesPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesInform, influence, support, and execute our product decisions and product launchesSupport Vinli’s data science operations in four key ways:Product Operations: Forecast and propose product team goals. Design and evaluate experiments (A/B Testing). Monitor key product metrics. Explore & understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics.Exploratory Analysis: Perform research to develop an understanding of ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors & segmentation for analysis or to power production systems (for example, Crash Detection).Product Leadership: Influence product teams through presentation of data-based recommendations. Communicate state of business, experiment results, etc. to product teams. Spread best practices to analytics and product teams. Write case studies to help promote Vinli as a thought leader in the data science & analytics industry.Data Infrastructure: Build systems which truly scale by leveraging the latest big data architectures. Automate analyses via high performance ETL pipelines in SQL and Spark.
Required Qualifications
Master’s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus)Proficiency in statistical models and thinking (probability, regression, segmentation)High Proficiency in SQL, Python, and SparkProven ability to train/mentor team members in utilizing best practices for software development as well as data science implementationsExperience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Experience communicating the results of analyses to leadership teams to influence the strategy
Preferred Qualifications
Experience in in the automotive & insurance industries and/or experience working with automotive dataPrior experience in price optimization and consumer segmentation for enterprise products2+ years experience in a fast-paced startup environment
About Our Ideal Candidate
You thrive in challenging environments that require collaborative problem solving.You prefer to spend your time coding and collaborating, not in meetings.You feel pride & responsibility seeing the product you worked on meet the real world for the first time.You are capable of independently prioritizing your duties and still work well with a team.You can both accept and provide thoughtful, respectful constructive criticism.
Benefits
Vinli offers competitive benefits such as health care* (including medical, dental, and vision) and a highly flexible PTO policy. In addition, we will work with you to support individual career development opportunities such as conferences, advanced training, and certifications. Vinli transitioned to fully remote operations in March 2020, but we have a longstanding history of operating & supporting successful remote teams to drive a productive, professional, and enjoyable remote work culture.
*Health care benefits apply to US employees only. Alternative UK/EU related benefits available, details provided upon request.
EEO Policy Statement
We are an equal opportunity employer. We strictly prohibit unlawful discrimination or harassment of any kind, including discrimination or harassment on the basis of race, color, national origin, ancestry, religion, veteran status, age, pregnancy status, sex, gender identity or expression, sexual orientation, marital status, mental or physical disability, medical condition, or any other characteristics protected by law. We also make all reasonable accommodations to meet our obligations under laws protecting the rights of the disabled.
Vinli Core Values
Integrity – Doing what you say you will do at Vinli is our way of building trust among our team members, partners, investors and vendors. We believe that maintaining integrity requires an openness and empathy in sharing goals and challenges with others. Drive to Innovate – People at Vinli don’t just love to learn, they feel compelled to use their knowledge to make our Company and the world a better place. We believe in learning from our mistakes and always challenging ourselves to innovate - from the biggest product decisions to the smallest processes. Joyful Work Environment – Loving where you work isn’t about ping pong tables and free snacks. It’s the feeling that you wouldn’t want to be on a project with any other team. It’s the feeling that you can get creative energy just by showing up to work. It’s the feeling that your entire team respects your life away from the job and understands how work impacts it. At Vinli, we believe in building camaraderie and joy in our environment by supporting and encouraging each other every day.
|
Data Scientist Advanced Analytics | General Motors |
Description
Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
–This position requires an employee to be onsite 1-4 times per year
Staff Data Scientist
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
Responsibilities include the following:
Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses Build predictive models and machine-learning algorithms Analyze large amounts of diverse information to discover trends and patterns Undertake preprocessing of structured and unstructured data Monitor and sustain model effectiveness Combine models through ensemble modeling Present complex information using data visualization techniques Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing Identify long-term technical innovations and collaborate with the Analytics Research COE Act as a mentor to junior level Data Scientists and as an expert level resource for the team
Skills & Qualifications:
Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models Minimum seven years of experience utilizing several of the following toolsets: Scripting Languages: Python or R Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent Big Data Tools: Hadoop, Spark, SQL and NoSQL Database experience Data Visualization: Tableau, Power BI or similar Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality Strong listening and communications skills Highly collaborative work style Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field Preferred academic or work experience in a data-intensive field or industry
Additional Description
Required Qualifications:
4+ years experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data The ability to demonstrate proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression, causal inference and etiology Deep knowledge and experience in geographic information system (GIS) such as GIS data representation, coordinate system projection, geostatistics, geocoding and cartography. A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate sophisticated quantitative analysis in a clear, detailed, and meaningful manner using data visualization techniques Proficiency with Python, SQL, and / or R Experience working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.) a plus Cultivates open, inclusive culture that supports learning and encourages collaboration.
Education:
Master's degree, or equivalent experience PhD preferred in Mathematics, Computer Science, Electrical Engineering, Signal Processing, or related quantitative areas
This position may be filled with a mid or senior level candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
|
Data Science Manager | General Motors |
Description
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Applied Analytics Manager will lead a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in partnership with CDAO business facing analytic groups. The team is responsible for both project-based solutions and applied analytics strategy, focusing on the most critical business needs.
Responsibilities include the following:
Partner with client facing analytic teams and the business to identify high impact opportunities Lead a cross-functional team to implement analytic solutions that address business challenges across a variety of business units Collaborate with internal organizations to identify, frame, develop, and execute analytics projects successfully. Create an environment that will not only support but encourage individual excellence, Workplace of Choice engagement and diversity, equity and inclusion. Identify long-term technical innovations and collaborate with the Analytics Research COE
Additional Description
Skills & Qualifications:
Minimum 10 years of experience successfully leading data and/or decision science technical teams Demonstrated expertise in one or more of the following: digital services, aftersales, revenue management, sales & marketing, product development, portfolio planning, quality, supply chain, purchasing, or market research Strong project management skills with demonstrated successes delivering in an agile manner Excellent team player with strong interpersonal skills Excellent oral, presentation, and written communication skills Ability to train, mentor, and evaluate the technical capabilities of others Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
Master’s Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or other quantitative field
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
|
Data Science Contractor | Rhythm Energy |
About Rhythm:
Rhythm is a renewable energy and technology company empowering you to take control of your budget and your carbon footprint. We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated within the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, businesspeople, designers, and artists who love solving tough problems, all while making a positive impact on our communities.
Our team has a variety of Data Science project opportunities for independent contractors. Depending on your skills and experience, we need help with projects such as:
Building models to understand how energy is generated and consumed in a rapidly changing world of renewables
Building models to understand our customers and their energy behaviors
Integration of different models, ensuring insights can be delivered repeatably and reliably to make business decision
Relevant Qualifications and Experiences:
Strong working knowledge of Python, including relevant data science tools such as pandas, numpy, sklearn, tensorflow, etc.
Familiarity with pyspark, Databricks, or other mechanisms for big data manipulation and model training are a big plus
Strong analytical skills and ability to translate a business problem into a conceptual model and a resulting Python implementation
Familiarity with a modern cloud-based ecosystem as used to manage data, train and deploy machine learning models (e.g. AWS, Snowflake, Redshift, Databricks, MLflow, etc.)
Experience working on energy, finance, or e-commerce problems is an advantage
We are a remote-enabled company that utilizes a cloud-only tech stack, making it easy for you to contribute from anywhere. We will consider qualified remote candidates willing to work aligned to our time-zone (central US) and are proficient in technical communication in English.
|
Ml Research Education Intern | Truera |
TruEra, Inc. is an early stage startup commercializing research in explainable machine learning. We are working to help humans understand ‘why’ machine learning models behave the way they do in order to address algorithmic bias and discrimination and to help people make better decisions with AI. Our team has a strong research DNA with ties to CMU and Stanford, and engineering DNA with infrastructure and machine learning engineers from Google, Microsoft, and enterprise startups.
We’re looking for a Machine Learning intern for the Summer of 2022 to join our engineering and research team. Part of the excitement around trustworthy AI is that it is a nascent field – so the creation and education of best practices is critical. The ML Research & Education intern would help us pioneer and scale our education efforts. Given interest, there is opportunity to work alongside the team on new directions around trustworthy AI including but not limited to performance debugging, fairness, explanations, and stability.
What to expect:
Learn about the rapidly evolving field of explainability (XAI) and how AI is applied in industry settings.
Solve exciting and challenging technical problems related to explainability and trust.
Create and share best practices and guidance on ensuring the trustworthiness and quality of ML models.
Experience what it is like to be a part of a fast-growing, early startup.
Welcomed Qualifications:
Past internship/work experience with machine learning frameworks (scikit-learn, Tensorflow/PyTorch/Keras etc.) and other data science tools.
Research experience in machine learning or related field.
Excellent quantitative, analytical and communication skills.
** We have listed some responsibilities and experience guidelines below, but do not consider these as set in stone—talent and passion for what we’re working on are the most important.
|
Senior Data Scientist Marketing | Chownow |
About Us:
ChowNow is unique among tech startups in the restaurant space. We power branded online ordering systems for independent restaurants across North America – via websites, Google, Instagram, and through branded iOS and Android apps – and we do it all for a reasonable monthly fee regardless of order volume. We operate this way because of our belief in being fair, sustainable, and equitable with our restaurant partners. And the same goes for our workplace.
Diversity, teamwork, and mutual respect are among our core company values. And we pride ourselves on giving our teams plenty of opportunities to make their mark. To date, we’ve created over 20,000 apps for our restaurant partners – something that’s never been done before in our category. And as we expand to new markets, further spreading the word about the ChowNow difference, those opportunities to create, build, and grow will only increase. If this sounds like the kind of workplace, and the kind of mission, that appeals to you, we’d love to talk.
Together we can preserve neighborhood flavor, one restaurant at a time.
About the Position:
As a member of the Team DnA (Data and Analytics), you will be responsible for developing rigorous data analyses to help inform and optimize decision making, processes, and strategies. You will define and operationalize the tracking of both company-wide and department-specific KPIs, identify patterns, and recommend actionable insights to improve how we build products and grow the business. In addition, you will partner with key functional teams and collaborate with the Data team to build a world class data platform, tools, insights, models, and experiments to power data-informed decisions, drive impact, and build the future of Data, Analytics, and Data Science at ChowNow.
Reports to: Lead Data Scientist, Marketing
This is a remote position based in one of our employee hubs of Los Angeles, San Francisco, Austin, Atlanta, NYC, Kansas City, or Chicago. Occasional travel to one of our Hub offices may be required once travel restrictions are lifted.
Within 30 days, you will:
Progress through our Ramp Camp (ChowNow’s New Hire Onboarding Experience)
Familiarize yourself with the company’s data warehouse and analytics tools
Meet with key stakeholders and DnA team members to better understand our vision and opportunities to make an impact with data, analytics, and data science
Within 3 months, you will:
Define and analyze company and department-specific KPIs, and guide the related instrumentation and data collection
Communicate results, insights, and recommendations to key decision makers
Deliver your own data-driven research, assessment, and recommendations to an executive audience
Partner with key stakeholders to identify opportunities to improve processes, and build systems and tools to enable scalable analysis, reporting, and data quality
Within 6 months, you will:
Identify, design, and execute on analytics projects aimed at finding the best solution to critical business problems
Provide strategic data insights to help cross-functional leaders better understand and improve acquisition and success of restaurants and diners
Effectively communicate learnings and provide recommendations to impactful and strategic decision making
Build automated, scalable solutions to enable advanced exploratory and self-service analytics
You Should Apply If:
You are effective at collaborating with cross-functional teams and communicating with leadership across various departments
You are able to articulate findings clearly and concisely, creating data-driven content and stories that directly provide strategic insight and business value
You have experience advising SaaS B2B or B2C Marketing teams using both paid and earned media on strategies to optimize activity for efficiency, conversion, upsell, and retention
You are excited about working on projects like segmentation, targeting, marketing measurement & optimization of LTV:CAC, experimentation, lead-scoring, and market assessments
You have experience with paid marketing, attribution and customer journey analytics
You have worked with product or site analytics tools such as Amplitude, Heap, and/or Google Analytics and have worked with Salesforce data before
You have experience with Customer Data Platform (CDP) & Marketing Automation tools such as mParticle, Segment, Iterable, Marketo, or HubSpot,
You have experience with Mobile Measurement Platform (MMP) tools such as Branch or AppsFlyer
You have strong SQL skills and experience with relational databases like Snowflake or Redshift
You have strong programming/statistical analysis experience in Python and/or R
You have an ability to surface insights through advanced data visualization using Mode Analytics, Tableau, Looker and/or other similar Business Intelligence tools
About Our Benefits:
Competitive Salary
Ongoing training and growth opportunities.
A "Best Place to Work" winner multiple times where we focus on creating a great employee experience.
A remote-first culture and up to $450 office equipment reimbursement to enable you to do your best work by setting up your home office.
Rock solid medical, dental, and vision plans.
Mental Health Coverage - we offer several programs to support your mental health and wellness goals.
3 weeks paid vacation; paid holidays; we expect you to work hard, but still enjoy your personal life
7 weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave.
401(k) Matching
Employer-contributing student loan assistance program.
Commuter benefits (including Uber Pool).
Employee Stock Incentive Plan.
Pet insurance for your fur babies
Quarterly Industry Speakers Series.
Quarterly Tech Events (Women, LGBTQ, Diversity, Inclusion).
Consistent & fair leadership: we’ll share info, set clear goals, show you respect, and treat everyone fairly.
Enough freedom to spread your wings while still holding you accountable.
Fully stocked kitchen and cold brew on tap in our satellite offices
ChowNow takes the health and safety of our team seriously and requires all employees to be fully vaccinated for COVID-19 prior to starting work. We strongly believe that this is the best way to protect our employees, families, clients, and communities. All requests for accommodations will be considered.
As one of ChowNow’s core values, “Celebrates Diversity”, we are committed to an inclusive and diverse work environment. ChowNow is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. We are committed to developing a barrier-free recruitment process and work environment, if you require any accommodation, please email us at [email protected] and we’ll work with you to meet your accessibility needs.
Read here about your California privacy rights.
#Li-Remote
|
Lead Data Scientist Finance | Updater |
View All Jobs
Moving is one of the most universally relatable problems. Everyone’s done it -- and everyone knows how frustrating and painful it can be. Updater is solving that pain at scale. We’re a well-funded and growth-focused company that helps over 25% of all households in the US move annually, and we’re growing quickly.
On the Data team, our mission is to use data to improve business outcomes. We partner closely with stakeholders across the company to democratize data-driven decision-making and bring data to bear on Updater’s toughest problems. We play an active role in all major business decisions, and originate impactful initiatives that help build the next-generation moving experience we’re creating for hundreds of millions of Americans!
As a Lead Data Scientist, you’ll lead business performance forecasting and opportunity evaluation across Updater. You’ll partner with fellow data scientists on the Data team, our FP&A team, and other key leaders to develop a deep understanding of the levers that move our business, craft high-confidence forecasts of Updater’s growth, and rigorously evaluate new initiatives under consideration by our executive team. You’ll have the unique opportunity to significantly impact the entire organization in developing the foundation for data science to accurately predict potential revenue generation & inform how those forecasts are impacted by business decisions. You’ll also help build our Financial Data Science function from the ground up.
Learn more about our Data team
How we built a scalable data platform architecture with Airflow and dbt (part I and part II)
Updater Data and Product teams speak at Optimizely user conference about how Data and Product teams can collaborate to maximize experiment velocity
Podcast on mentoring featuring Updater VP of Data Chris Byington
Updater partners with National Association of Realtors to provide real-time relocation insights
About the Role
Establish Finance Data Science function at Updater including defining forecasting methodologies, identifying – and filling – technology gaps, and evangelizing a culture of rigorous performance forecasting across the company.
Forecast business performance across Updater to inform internal and investor-facing forward-looking statements.
Bring deep understanding of Updater’s business to bear to identify novel opportunities to unleash even greater growth for our company; partner with stakeholders to bring those opportunities to life.
Advise fellow Data team members and stakeholders alike on opportunity assessment of upcoming initiatives’ likely impact on business performance.
About You
Empathy: you strive to see the world from the point of view of your stakeholders and our business in order to anticipate needs -- bonus points for being able to incept stakeholders before they themselves know what they need.
Humility: you have an opinion, but aren’t afraid to be proven wrong, and are open to suggestions on what tool or technique is best to most efficiently solve a problem.
Strong communication: you’re as comfortable talking with our VP of Finance as you are with our Executive team.
Comfortable with ambiguity: you’re used to being asked open-ended questions and whittling them down to questions that can be answered by hard data.
5+ years of experience as a Data Scientist in a fast-paced work environment; proven ability to drive impact through forecasting.
Strong command of the fundamentals of statistics.
Strong command of SQL.
|
Staff Data Scientist | Clearco |
Clearco is the world’s largest e-commerce investor. Our equity-free capital products intend to help businesses scale while maintaining 100% ownership and control. Clearco is growing and we’ve already been able to fund 7000+ businesses in 7 countries. Clearco has funded 25x more female founders than traditional Venture Capital and is removing barriers to access capital for underserved groups. The Clearco vision is simple: remove the obstacles between brilliant ideas and brilliant businesses.
In order for us to execute on our vision, we are looking to add a Staff Data Scientist to the Investments Division of our Data Science team to lead and build data driven investment theses and deploy those theses across our $2B capital fund.
Application deadline: ongoing
Compensation + Benefits:
Competitive Salary + Stock Options + Flexible PTO + Mental Health Support (Inkblot & EAP) + Medical + Dental/Vision + Work From Home Stipend + Digital Nomad Program + Remote-first work environment + Toronto office available (but not necessary) + External Learning & Professional Development!
Responsibilities:
Ownership of multiple machine learning & statistics driven investment products end to end and be expected to maximize capital deployment and identify opportunities for increasing efficiency. This will include leading development for design, architecture, deployment and maintenance.
Close collaboration with every member of the Data Engineering and MLOps Teams, along with fostering relationships with business and product teams to develop and improve our time-series forecasting models for use in the e-commerce space.
Integration with all functions of Clearco, ranging from core Engineering team to the marketing team.
Constant communication with the team to understand what features of your platform need to be built out, and helpful coaching of junior team mates through bug fixes when necessary.
Scoping and actioning of business needs with speed and accuracy, and then independently leading on their execution.
What we look for:
Great communication skills. You must be motivated to lead and mentor a small team of other data scientists.
Desire to help founders. We take a strong founder first stance on this team.
Be self sufficient when it comes to execution. Figure out how to solve problems and make things happen, not waiting for help or permission.
On this team, we maximize learning. You will fail if you're not learning fast enough.
Comfort working in a high growth, constantly changing environment.
Heavy bias towards action. Ability to solve problems end-to-end on your own. You will implement ideas and experiments on your own with minimal support.
Have experience working in a senior data scientist or software engineering role, you are an expert when it comes to coding and you’re ready to roll up your sleeves to get the job done!
Have a strong business sense, you can foresee potential issues and solve them quickly
Demonstrated ability to collaborate effectively across multiple teams.
Strong interest in building businesses within e-commerce and fintech.
Technical Requirements:
Ideally, you have worked on 4 or more different production level machine learning projects in your career in a professional setting for at least 8 months each. This means you probably have between 3 years and 8 years of experience.
Bonus points for distributed architectures heavily reliant on time-series data.
Have 2+ years of experience working with industry standing Python-based ML frameworks (Tensorflow, sklearn, xgboost, etc). Potentially, you have built custom extensions of standard implementations of ML these frameworks in a professional setting.
Understanding of how machine learning can drive business decisions and value and can point to areas where you have demonstrated the ability to leverage machine learning in this manner in a professional setting.
Comfortable in a fast pace and changing roadmap team that builds the plane after jumping off the cliff.
Desire to be a part of the world’s premier venture capital firm for deploying data driven investment theses.
Comfortable working with a wide array of data integrations and 3rd party vendors to create machine learning products for maximizing business value and supporting our vision and roadmap.
Skilled in advanced use cases spanning technologies including Python, SQL, Snowflake, Kubernetes and pipeline management/orchestration tools (Eg. Airflow, Argo).
Demonstrated experience or working knowledge of Google Cloud Platform (GCP), with professional experience on at least one cloud platform (Eg. Azure, AWS, GCP etc.).
Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation.
Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please let us know and we’ll work with you to meet your accessibility needs.
|
Senior Data Scientist | Soona |
about the senior data scientist, decision sciences role:soona is looking for our first data scientist who will be part of the foundational team helping us build a world-class data organization. you will work closely with the data engineering, analytics, and engineering teams to create and maintain machine learning models to help optimize our business decisions. to be successful in this role, you will learn how to build incrementality and uplift models to optimize marketing spend, segment customers so that we can better fill their needs, and forecast business metrics so that we can plan for the future. this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a remote work environment for this role; however, we are currently looking to hire in these states only: California, Colorado, Illinois, Massachusetts, Minnesota, New Jersey, New York, Texas and Washington with requirements to be able to work in mst or cst time zones. for flex hybrid work environments, we also have office spaces in Denver, Colorado + Minneapolis, Minnesota, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.an ideal candidate can: access data from our data warehouses to create datasets for model building train valuable machine learning models that impact business decisions create internal apps that serve up model outputs and predictions in real-time build systems to continuously monitor model performance and retrain with new data create and maintain telemetry/observability systems to monitor your app performance deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets effectively communicate with data engineers/analysts to understand requirements effectively communicate with engineers and devops/sre to follow system standards effectively communicate with stakeholders to gather requirements and explain outputs has experience in: effectively communicating and coding in a remote work environment general machine learning methods, bayesian inference, and time series forecasting working with marketing, sales, and finance teams and understanding their target KPIs python – the core language of the data organization sql – optimizing query performance on OLAP data warehouses aws or equivalent cloud environment docker, airflow, dbt, flask/fastAPI experience is preferred startup experience is preferred we can offer: starting salary: $120,000 - $160,000 (depending on experience) stock options in a booming startup benefits & perks + unlimited pto + incredible culture really badass headshots #LI-Remote
|
Senior Data Scientist | Built In |
At Built In, the health, safety and well-being of our employees and of our communities is a top priority. Due to the effects of COVID-19, we have decided to manage our entire business remotely until further notice. HQ-based employees will temporarily work from home until it is safe to return to our office. As we continue to grow, we are excited to be hiring for all open roles and look forward to meeting with qualified candidates in a virtual setting. For anyone who joins our team (yay!), your onboarding experience will also be conducted virtually. Thank you for your interest in Built In and be safe!
Hello, We’re Built In
What We’re Up To
We’re building the largest platform for tech professionals globally. Monthly, millions of professionals visit BuiltIn.com from across the world. We’re the only platform they need to stay ahead of tech trends and news, develop their careers and find opportunities at companies they believe in.
Our 1,800 customers include innovative companies of all sizes, from exciting startups to companies in the Fortune 100. To attract our audience of skilled professionals, they trust us to tell the stories of their cultures and share their job opportunities. This helps them hire the industry’s most sought-after professionals locally, nationally and remotely – ultimately contributing to the industry’s ability to innovate a better future.
What You’ll Be a Part Of
Working at Built In is the chance to help shape a fast-growing company. Whereas we served eight tech hubs at the start of 2021, we entered 72 new markets across the U.S. by year’s end. Global plans are in the works. With venture funding of $30 million to date, we’re expanding not just our geographic footprint but our products and technology.
With the launch of e-learning opportunities for users, we’ve made Built In even more valuable for the professionals who already trust us with their careers. And as we grow into the leading SaaS product for employer branding, we're using the latest technologies to serve customers in new, exciting ways — and you’ll contribute to that.
You’ll also be a part of changing the lives of professionals like you, ambitious people with a passion for tech and love of learning. As a result, you’ll understand the impact of your work in a deeply personal, especially meaningful way.
We're looking for a Senior Data Scientist
We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.
How you’ll contribute
Develop and test a wide variety of algorithms and models that improve the platform experience for both users and customers
Use Python, Jupyter, and a variety of database systems on a day-to-day basis and work with our engineers to build real-time APIs that work with your findings
Partner with leadership and stakeholders to identify new applications for data science across the business
Partner with analytics team on solutions for data validation, anomaly detection, and data enrichment within our data warehouse (Snowflake, DBT)
Educate the organization on new analytical approaches to drive business decisions
What you need
4+ years of hands-on experience in data science, ideally with a focus in building machine learning solutions (NLP, recommendation systems, customer segmentations)
Experience with Python ML ecosystem - pandas, numpy, sklearn, etc.
Proficiency with relational databases (SQL) and unstructured & semi structured data
Experience with cleaning and vetting new data sources as well as troubleshooting data integrity issues
Strong communication skills with demonstrated ability to convey technical ideas to non-technical audiences
An understanding of A/B testing and sophisticated statistical techniques (hyperparameter tuning, feature importance)
Ability to work independently and autonomously, while also learning from and teaching others in a highly collaborative and interdependent data engineering team
Curiosity and desire to dig into analytical questions and identify opportunities for improvement to our data infrastructure
Impress us even more
Experience with ML Ops, including deploying models as services in a production environment and monitoring model drift and performance
Working knowledge of AWS infrastructure and data tools (S3 buckets, ECS tasks, Sagemaker, OpenSearch)
Experience working with and optimizing search algorithms
What We Value
We’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values:
Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always.
Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission.
Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead.
Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate.
Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up.
Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business.
Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes.
Be Inclusive, Always
Research shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory.
Built In is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today:
We have five thriving ERG groups: Built In For The People, BuiltOut, United We Parent, Women United in Tech and Built In Tribe.
We have a dedicated Director, HR + Inclusion who oversees our DEI roadmap, which provides our annual metrics, goals and initiatives.
We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women
NOTE: BUILT IN NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. ONLY RESPOND TO EMAILS FROM BUILTIN.COM
|
Principal Data Scientist | Figure |
About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
Forbes America’s Best Startup Employers
Forbes Top 50 Blockchain Companies
Figure Series D Announcement
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do
Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.
What We Look For
8+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Consumer finance or adtech background is a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.
Benefits and Perks
Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
#LI-CB1
|
Data Scientist Growth | Axiom Zen |
NBA Top Shot caught lightning in a bottle, bringing in over one million users to the blockchain in a matter of months. We’re looking for a Data Scientist to take our growth trajectory to the next level.
We're looking for an experienced data leader who can bring a data-driven culture and expertise to Dapper Sports. The ideal candidate has worked in gaming, e-commerce, marketplaces, and other companies working with large sets of data and inputs.
Location: Remote OK, working on Pacific Time and traveling to Vancouver when needed
Jobs to be done:
Build mathematical models and automated machine learning tools to analyze and optimize all aspects of Dapper Sports products, providing actionable insights in real-time
Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes
Design and implement experiments to test various hypotheses
Influence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime value
Research new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team
Work with members of the Data Science team to deliver high-impact AI/ML products.
More about Dapper Labs:
Dapper Labs, the company behind CryptoKitties, NBA Top Shot, NFL ALL DAY, UFC Strike and the Flow blockchain, uses blockchain technology to bring NFTs and new forms of digital engagement to fans around the world paving the way to a more open and inclusive digital world starting with games and entertainment.
Since it was founded in 2018, Dapper Labs has given consumer enthusiasts a real stake in the game by bringing them closer to the brands they love, building engaged and exciting communities for them to contribute to, and producing new pathways for them to become creators themselves. Dapper Labs' current studio partners include the NBA, NBPA, WNBA, WNBPA, LaLiga, NFL, NFLPA, Warner Music Group, Ubisoft, Genies, and UFC. We have raised over $600M from leading and notable investors including Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others.
Dapper Labs is accelerating the move to Web3 by building new apps and platforms that enable great user experiences while being accessible to hundreds of millions of fans of organizations like the NBA and NFL, for example. We’re ready to empower even more to bring mainstream-ready user experiences and scale to web3 applications.
Visit our website to learn even more about Dapper Labs, including information about benefits and perks.
#LIremote
|
Data Scientist Machine Learning | Credit Sesame |
Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free. We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services. Our purpose is clear, to make financial inclusion and wellness a reality for everyone.
We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of users. This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.
You’ll…
Join a centralized Data Science team that is part of our larger Engineering org;
use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to real-time fraud detection for our digital banking business, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
work closely with our Data Engineering team to deploy these models across our Mobile App and Desktop & Mobile Web platforms;
collaborate with Analytics to design and analyze experiments testing the performance of our models;
build parameterized dashboards to monitor both machine learning performance metrics and funnel metrics important to the business;
initiate and lead new modeling projects as well as support initiatives spearheaded by Product;
design and implement efficient pipelines both for model maintenance and for model deployment;
pitch your ideas and present your results to stakeholders including our CRM (customer relationship management) team, Product, and others.
You’re a great fit for our team because…
You are strongly self-motivated, have a mindset of getting things done, and are willing to pick up new skills as needed and iterate quickly as appropriate;
you can communicate clearly and confidently to technical as well as non-technical audiences;
you have knowledge of machine learning packages (mainly scikit-learn and the Python API of XGBoost; experience with other packages is a plus) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.); experience with personalization algorithms and product recommendation systems is a big plus;
you have strong proficiency in writing correct and efficient SQL queries;You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
you have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
you have knowledge of statistics and experiment design;
you are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
you can juggle multiple tasks in a fast-paced environment;You can work in a cross-functional team and manage multiple stakeholders;
you can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
you want to work, excel, and grow in a diverse, challenging, and highly collaborative environment;
(Plus) You have experience building machine learning models that were deployed as a service, with predictions being made in real time.
You’ll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance with many plan options;
we have team meals catered twice a week;
you can stay on top of your fitness goals with our on-site fitness centers and a monthly fitness reimbursement;
you can fuel up at our stocked kitchens with endless snacks and drinks;
we value EQ over IQ and prioritize work-life balance (read more about Credit Sesame’s Key Values here: https://www.keyvalues.com/credit-sesame)
We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.
#LI-Remote
#LI-EA1
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
|
Senior Data Scientist Inference Estimation | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 5000 businesses are spending an average of 3.3% less and closing their books 8 times faster, thanks to Ramp’s finance automation platform. Ramp enables billions of dollars of purchases each year.
Founded in 2019, Ramp has achieved a valuation of $8.1 billion in just over 3 years, on the heels of nearly 10x year-over-year growth. It has raised over $1B in funding from investors including Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The team featu combines experience from some of the leading financial services and fintech companies—Capital One, Stripe, Affirm, Goldman Sachs, American Express, Visa—with high-growth technology companies like Facebook, Spotify, Zendesk, Intercom, and Webflow. Recently named Fast Company’s most innovative finance company, Ramp is NYC’s fastest-growing startup and America’s fastest-growing corporate card.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do
Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp
What You Need
Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice to Haves
PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup
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)
Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support
|
Sr Data Scientist | Crowdstrike |
At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. Because of that we’ve earned numerous honors and top rankings for our technology, organization and talent. Our culture was purpose-built to be remote first, and we offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. If you’re ready to work on unrivaled technology with a team that makes a difference every day, let’s talk.About the Role:CrowdStrike’s Data Science team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a senior data scientist specializing in machine learning to our growing team. You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats. CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 500 billion behavioral events per day and have over 2000 terabytes of malware samples in our research repository. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You’ll Need:
Undergraduate or post-graduate degree in a STEM field
6+ Years of post-undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
Programming experience in Python, Rust, R, MatLab or Scala to match (preference in that order)
You will:
Mine large scale and high dimensional data, identify patterns, and visualize trends
Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work closely with domain experts to improve our raw data and to derive more value from data collected
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate and visualize analyses, results and processes in our machine learning pipeline
You are:
Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity
Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
An independent self-starter who likes to take ownership and independently seeks out new challenges
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem
Comfortable and experienced working in a Linux environment in the AWS cloud
Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase
#LI-RC1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-friendly culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive health benefits + 401k plan
Paid Parental Leave, including adoption
Wellness programs
A variety of professional development and mentorship opportunities
Open offices have stocked kitchens, coffee, soda and treats
We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Colorado the salary range is $160.524 - $267.540 + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states.CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work
|
Data Scientist | Crowdstrike |
At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. Because of that we’ve earned numerous honors and top rankings for our technology, organization and talent. Our culture was purpose-built to be remote first, and we offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. If you’re ready to work on unrivaled technology with a team that makes a difference every day, let’s talk.About the Role:CrowdStrike Identity Protection team is expanding. We are looking for Data Scientists to help us build solutions with detections based on indicators of risk, analytics and risk scoring. You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our unsupervised learning models, refine our identification of malicious identity-based threats and create network insights. CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 1 trillion behavioral events per day and have over 2000 terabytes of malware samples in our research repository. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You'll Need:
Undergraduate or postgraduate degree in a STEM field
Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
Programming experience in Python
You will:
Mine large scale data, identify patterns, and visualize trends
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work closely with domain experts to improve our raw data and to derive more value from data collected
Create predictive models using supervised learning techniques to accurately classify network entities
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate and visualize analyses, results and processes in our machine learning pipeline
You are:
Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity
Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
An independent self-starter who likes to take ownership and independently seeks out new challenges
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem
Comfortable and experienced working in a Linux environment in the AWS cloud
Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase
#LI-MB1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-friendly culture
Market leader in compensation and equity awards
Wellness programs
A variety of professional development and mentorship opportunities
Open offices have stocked kitchens, coffee, soda and treats
Inclusive culture focused on people, customers and innovation
We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
|
Director Data Science | 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 hiring a Director of Data Science to lead a global, cross-functional Data Science team focused on the evolution of the Slack product! As a leader on the Data Science team, you will deliver data and insights that drive decision-making, execution and investments for our product initiatives in a dedicated area of the business. This is a one of a kind opportunity that includes team buildup, foundation setup, and collaboration model establishment. Success requires analytical savvy, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. We are looking for someone that can think on their feet and thrives in a dynamic environment. Enterprise product experience, with an understand of the end-user will be key to this role.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. If this sounds like a good fit for you, why not say hello?What you'll be doing:
Build and lead a high performing DS team, drive professional development goals of the team
Set a compelling vision and prioritize work based on product strategies and overall goals
Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
Work cross functionally with the rest of PDE org to influence product strategies and roadmaps, help build and influence a data informed decision making culture
Synthesize learnings and insights. Communicate a data narrative around product usage, tying this into the overall Slack strategy
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation. Jump in when needed!
Partner closely with product researchers, and when appropriate, align roadmaps and collaborate on projects to answer complex questions
Build partnership and alignment with our data cross-functional partners, including Data Engineering and Business Intelligence, to author and develop core data sets and empower operational and exploratory analysis
What you should have:
7+ years of experience in product data science in related tech industries
2+ years experience in a product DS managerial role
Ability to build clear and concise presentations, and communicate effectively at every level of the organization
Strong project management skills
BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Skill-Set/Technologies used daily: Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurementFor Colorado-based roles: Minimum annual salary of $166,600. 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/AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Staff Data Scientist Platform | 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 Platform product area at Slack. The Platform ecosystem is a critical component of Slack’s strategy to become the place where work happens. It enables users to truly customize Slack and integrate their everyday tools to streamline and speed up work!In this role, you will work closely with the Platform product organization to understand and improve the product experience of app developers and builders - non-technical people leveraging Slack’s no-code platform tools. As Slack builds out its next generation of Platform capabilities, you’ll work on unearthing insights and building a complete picture of what users build in Slack. You will also help establish the foundational analytics infrastructure to enable measurement of various Platform tools. 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. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand usage patterns of developers and builders who create on the Slack Platform
Perform evidence-based evaluations of the most important drivers of increased adoption of the Platform capabilities
Build out key success metrics and reporting for the Platform product organization
Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for Platform metrics
Identify and clearly communicate potential opportunities to improve the experience of users who want to build apps in Slack
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
4+ 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. Computer Science, Economics, Physics) a plus
Expertise in at least one programming language for data analysis (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 is a plus.
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
Plus: Experience with statistical and machine learning methods to build descriptive and predictive models
For Colorado-based roles: Minimum annual salary of $150,200. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Senior Data Scientist Slack Connect | 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 hiring an experienced data scientist for our Slack Connect product area. This cross-functional team focuses on building features to connect users and teams across organizations to enable productive and proficient cross-company collaboration. Slack Connect has been a huge success since its initial launch! A full stack Data Scientist is welcome to join this fast growing team to contribute to the dream of enabling our customers to collaborate efficiently and safely across organizations in a friction free way.In this role, you will seek to understand how Slack Connect features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Slack Connect. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.You will also inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists 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. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Partner with data engineering org to design and build slack connect data and metrics structure
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for slack connect and provide data informed target setting
What you should have
3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and deep-diving experiments to guide product launch decisions
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Strong written and verbal communication skills
Experience working in fast changing tech development environment
Experience collaborating with and influencing cross functional partners
For Colorado-based roles: Minimum annual salary of $121,800. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com 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.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
|
Data Scientist Product Intelligence | Zoom |
Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Data Scientist, Product Intelligence
FULL TIME/ REMOTE - US
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Contact Center product team. Unlike most contact center technologies that are only optimized for voice, Zoom Contact Center is the first omnichannel contact center solution that is optimized for video and intentionally supports a robust suite of channels, such as voice and video (with SMS and web chat). This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data using statistical techniques and build data models that enable insights and power dashboards.
Work cross-functionally to solve business problems by delivering actionable insights.
Partner closely with Product and Engineering to drive product direction and decision-making.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 4+ years (2+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal
Proficient with SQL
Experience with Python and statistical libraries such as scikit-learn, pandas, etc
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a unified communications product is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value. Information about Zoom’s benefits is here. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected].
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote
|
Senior Data Scientist Product Intelligence | Zoom |
Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Senior Data Scientist, Product Intelligence
FULL TIME, US-REMOTE
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Whiteboard product team. Whiteboard is a powerful virtual hub for real-time and asynchronous collaboration, creating more engaging and efficient meeting experiences. Any team, from enterprise to education, can use the Zoom Whiteboard experience to create, annotate, and share ideas from any device whether you’re in a Zoom meeting or not. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data and build data models that enable insights and power dashboards.
Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features.
Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion.
Identify new opportunities and influence strategic decision-making across the organization.
Partner closely with Product and Engineering to drive product direction and decision-making.
Mentor and coach junior team members.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 6+ years (4+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses
Advanced SQL ability
Proficient with Python and statistical libraries such as scikit-learn, pandas, etc
Strategic thinker who can tie the micro and macro view together
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a collaboration product is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
#LI-REMOTE
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value. Information about Zoom’s benefits is here. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected].
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote
|
Senior Data Scientist | Veeva Systems |
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care."Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your analysis will shape the product roadmap for a new Link product focused on clinical trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
You can work remotely anywhere in the Netherlands, but you have to live in the Netherlands and be legally authorized to work there without requiring Veeva’s support for visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it.
What You'll Do
Develop machine learning models at scale and in AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI to your platform
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at terminal scale
Requirements
4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Fluent in Python/Java and experience with bashing script
Strong analytical skills and data curiosity
Good English and strong communication skills
Experience in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Background in clinical (trial) data
Experience in life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, or graph-processing
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes and relevant distributed computing for training and inference
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteNetherlands
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
|
Staff Data Scientist Member Experience | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.
A bit about this role:
The Staff Data Scientist, Member Experience will serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. You will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.
Healthcare experience, or experience working for a Medicare Advantage plan preferred. Deep drive to serve members is a MUST.
Responsibilities will include:
Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
5+ years of healthcare and/or MA plan experience
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business
#LI-BC1
#LI-Remote
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
|
Principal Data Scientist Marketing | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.
A bit about this role:
The Principal Data Scientist, Marketing will serve as a crucial partner to our Marketing teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.
In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.
Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
6+ years of individual technical contributor experience
3+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
#LI-BC1
#LI-Remote
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
|
Data Scientist | Cerebral |
Our Company:
At Cerebral, we’re on a mission to improve access to long-term, high-quality mental health care for all. We believe that everyone everywhere deserves to get the care they need. And how are we doing this? By making care convenient and accessible and tackling the stigma that surrounds mental illness.
Since launching in January 2020, we have gone from a team of 5 to over 3,000 team members across the United States and in the United Kingdom working hand-in-hand to transform access to high-quality mental health care at scale. Our team will not stop building, growing, and iterating until everyone, everywhere can access high-quality mental health care without the high cost, long wait times, and stigma. Simone Biles, world champion gymnast, and mental health advocate joined Cerebral as our Chief Impact Officer to help further our mission.
We are the fastest mental health company ever to achieve unicorn status, having raised over $462 million and achieving a valuation of $4.8 billion in under two years. Cerebral’s investors include SoftBank Venture Fund 2, Silver Lake, Access Industries, Bill Ackman, Chris Burch, WestCap, and Oak HC/FT.
It is just the beginning for Cerebral, and we need your help as we transform access to high-quality mental health care in the United States and beyond.
The Role
As a Data Scientist with Cerebral, you will be responsible for patient analyses, outcome measurement, and other signal development. You’ll lead development of algorithms to improve patient outcomes and experience and support experimentation and evaluation in service of care and business objectives.
How you will contribute:
Become a subject matter expert on our data and its capabilities
Transform real-world data into actionable insights using robust statistical methods and compelling data visualizations in formats accessible to a wide range of end users
Work with a cross-functional team to define and clarify analytic requirements, develop analysis plans, ensure data quality standards, and create publication ready methods and results
Generate ideas for analyses to shape future projects, contributing to a pipeline of opportunities that will help Cerebral achieve its goals
Skills you’ll bring:
Deep expertise working with data and have experience exploring it with a critical and thoughtful eye
Proficient in R/Python (or another programming language and are committed to becoming an expert in R/Python)
Passion for working with data and have experience it with a critical and thoughtful eye
Excellent at communicating - able to explain key concepts in meetings and in writing to teammates from different functions and experience levels
Comfortable working in an agile development process—and changing the engineering roadmap as business needs change
Maintain startup grit. Willingness and desire to take on personal responsibility for the business as a whole and “figure it out”, whether it’s in your exact functional lane or not.
Bonus: Hold a Master’s degree with 4 years of industry experience or PhD (or equivalent) in a quantitative discipline such as biostatistics, epidemiology, statistics, economics, or a related discipline
Who we are (our company values):
Results and data-driven - we strive to reach our goals by making data-led decisions and focusing on measurable results
Ownership - we hold ourselves accountable to our goals and deliver on our commitments, which fosters trust within our team
High velocity - we seek to roll out new initiatives, products, and conditions quickly so that we can see real data-driven results and iterate accordingly
Empathy - we expect team members to demonstrate the same level of compassion for one another as we show for our clients
Mission-driven experimentation - we iteratively experiment with new ideas, products, and services to help serve our clients and advance our mission
Deep, hands-on leadership - our leaders believe that no task is beneath them, and stay connected to the details of their business and operations
What we offer:
Mission-driven impact:
Shape the future of the #1 largest and fastest growing online mental health care company in the world
Build a platform that is improving the lives and well-being of hundreds of thousands of people (and counting)
Join a community of high achievers who have a passion for promoting mental health, including our Chief Impact Officer, Simone Biles!
Path to develop & grow:
Bi-annual performance reviews & opportunities for promotions - as Cerebral grows, so should you. We build your goals together and forge a career path that is right for you
Remote-first model: Work virtually from anywhere in the US
Competitive compensation & benefits:
Total compensation includes equity/stock options
Medical, Dental, Vision, Life Insurance, and 401k provided to all employees
Unlimited PTO - we encourage taking the time you need to relax and recharge
Culture & connectivity:
Virtual social events (e.g., monthly happy hours) enable us to build a sense of community and connect on a more personal level
Optional in-person company retreats provide an opportunity to augment team-building and celebrate our successes together
Cerebral is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
|
Data Science Manager Engagement | Calm |
Data Scientist Manager, Engagement at Calm
Remote
Who We Are:
At Calm, we have a simple, albeit BIG mission: to make the world a happier and healthier place. Through our website, blog, and app—filled with meditations, sleep stories, music, movement, and more—we’re redefining what mental care looks like in 2021 and beyond. With over 100 million users worldwide, 100,000 new users daily, and our growing partnerships with major companies, we’re having a positive effect on more and more people each and every day. And while the heart of Calm is digital, we are growing and expanding offline with a variety of products and services to help deliver on our mission of health and happiness, the world over.
What We Do:
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex.
What You’ll Do:
As the Data Science Manager of the Engagement team you will lead a team of data scientists who are working to increase user engagement. You will do this by providing insights and analysis related to how our members interact with Calm and make their content choices. The output of our work most directly impacts the product and content organizations. This role also has significant executive exposure.
Manage, develop, and motivate a group of data scientists
Be a thought leader and go-to expert for how users engage and retain
Lead and conduct deep-dive analyses to identify needs and priorities of the business
Facilitate data-driven and informed decision making and prioritization
Develop strong cross-functional partnerships across Calm to drive our team's success
Drive outstanding performance both for this team and the broader product org
Who You Are:
5+ years of analytics experience, ideally with digital consumer products
Experience managing data scientists or analysts
BA/BS in quantitative field
Expert-level skills in SQL, R/Python, and statistical methods
Strong relationship management and executive presentation skills
|
Data Scientist Applied Research Personalization | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
We’re defining the workforce of the future with Scribd Flex, a program that embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.
Remote employees must have their primary residence in: Arizona, California, Colorado, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), and British Columbia (Canada).
*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
About the team
• The Applied Research - Personalization team’s goal is to model our users’ behavior by creating rich representations of their complex interactions with our content and delivering measurement and prediction models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative data scientists that work to solve some of the company’s highest profile initiatives. Applied Research - Personalization is a new team and you will have a unique opportunity to shape our mission and initiatives.
About you
• You are excited by the opportunities of working on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, articles, audiobooks, and podcasts and the interaction of our content with millions of users.
You will / Responsibilities / What you will do
• Understand how our users interact with the product to produce data and improve how user interactions create signals for ML models.
• Take full advantage of our scale of data by experimenting with cutting edge techniques in deep learning. For example, use Transformers and other architectures to extract rich user embeddings.
• Increase the effectiveness of personalization for new users by integrating sources of metadata and innovating on modeling techniques.
• Thoughtfully collaborate with other Data Scientists, Machine Learning Engineers, and System Engineers as well as our partners across the company.
You Have / We're looking for / Requirements
• 2+ years of experience in data science, machine learning or related field.
• Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.
• Interested or experience with ML personalization features and user modeling.
• Intermediate level or greater experience with Python. Experience with SQL and Spark is a plus.
• Experience with deep learning frameworks (such as TensorFlow or PyTorch) and embedding-based deep learning architectures is a plus.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Insurance Coverage: Scribd pays for employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
#LI-Remote
|
Data Scientist | Conjura |
Data Scientist
About Conjura
Founded in 2018, the Conjura Platform accelerates e-commerce performance for consumer brands.
Conjura customers can connect, action and benchmark their data with one powerful platform. Conjura empowers data-driven decision making with intuitive dashboards and actionable insights for e-commerce businesses.
Being a Data Scientist at Conjura
As our data science team is small we are still defining how we work and how our platform should function. Which is why we are currently looking for data scientists who have substantive experience with cloud technologies, containerisation and the entire Machine Learning lifecycle, including managing productionised workflows.
As a member of the data science team you will work collaboratively to apply the latest approaches and technologies to real commercial problems as well as:
Develop use-cases directly with customers and steer our implementations to drive towards the most valuable outcomes.
Keep up-to-date with the latest developments in research, applications, and technologies. As the discipline evolves quickly, complacency is not an option.
Shape our data science culture and how we work.
Teach and learn from other members of our team. Our backgrounds are diverse and multidisciplinary. Though we have different skills and experiences, we work best as a single team!
Make material contributions to automation capabilities of our in-built Decision Engine platform.
Be a generalist. Contribute to our knowledge base, technical infrastructure, product, and business development.
What you will be working with
Our team works across the whole lifecycle of model development, from exploration and prototyping in Notebooks through to deployment and maintenance in our Decision Engine. As a smart, curious person, you will pick the best tool for the job!
Our data science infrastructure is based in AWS and integrated with Sagemaker.
Our pipelines are built with Python, SQL (via DBT), Pyspark, and productionised in Docker.
Our models are built in multiple frameworks (ScikitLearn, XGBoost, Pytorch, and Tensorflow)
Successful applicants for a data science role will receive a full-time permanent offer, with a competitive salary, equity options, and flexibility to allow working remotely or at home. With our size and fast growth, there’re many opportunities for career progression.
Conjura team values
Curiosity – We NEED to know about our customers’ businesses, what makes the businesses tick and what will make it better. We continuously sharpen our skills and keep up to date with the latest approaches to analytics.
Collaboration – Yes we have degrees and PHDs, and we have done amazing things with data, but when we join Conjura we check our ego at the door. This is because, as individuals, we don’t have all the answers. The excellence of our team is shaped from multiple points of view and backgrounds working collaboratively. At the same time we are equally at home working independently – sometimes we need to take ownership.
Trustworthiness – We are trusted to produce accurate insights from commercially sensitive data sets. We must employ analytical rigor and quantitative reasoning skills.
Nimbleness – We need to flex when our client’s business, customers or market changes!
Clarity – We must simplify complexity and explain value points to time poor, inexpert stakeholders. We have a passion for communicating ideas with data and technology.
To register your interest for this role, please complete the form below.
|
Data Scientist | Superside |
Superside is looking for an ambitious and talented Data Scientist to help us build the data driven future of work. Develop powerful insights from our collaboration with top-tier brands like Shopify, Facebook, Amazon, Red Bull and Salesforce, and drive action and outcomes. Innovate and improve our processes and tech platform, and be a core part of defining and building world leading remote human collaboration.
As a Data Scientist at Superside, you are full-stack. You understand the business, commercial and human contexts of the company, you conceptualize solutions, write production-ready code, deploy algorithms and track performance, you generate, extract and prepare data, you create visualizations and triggers, develop models and drive recommendations, decisions and actions. Using tech and process innovation, we pioneer not only remote collaboration between customers, project managers and creatives around the world, but we redefine and shape the roles and jobs of people worldwide.
What you'll do
Work closely with company leadership, founders, and a variety of other roles to explore and develop a deep understanding of our business, our data, and the decision-making processes that can be improved across the organization
Own and prioritize a backlog of initiatives, and manage projects, stakeholders, and timelines
Work full-stack to design, build, deliver and follow up robust and clear insight that drives action
Own all data structures related to Operations, Creative, Talent
Design and build end-to-end structures and visualizations to monitor and analyze collaboration bottlenecks, delays, wait-time, iterations, staffing, team utilization, and more, and drive recommendations and actions to innovate and improve processes, tech platform, and roles and responsibilities
Design and build next-level people performance management insights to push Superside to the forefront of fair and data-driven talent development, management, and growth
Explore building performance prediction models integrating operational insights with talent acquisition and onboarding, as well as many other potential areas
Work closely with our Data Engineer and other Data Scientists to design, build, and maintain scalable data models and pipelines
What you'll need to succeed
BSc or higher within STEM or equivalent experience
Previous experience in analytical roles where data is concerned
Excellent SQL skills
Experience building data processing pipelines (ETL) and BI solutions
Well versed with scripting language for analyses (eg python or R) and version control (Git)
Highly skilled in using multiple data sources, and the ability to simplify and effectively visualize and communicate complex insights
Comfortable with owning project timelines, prioritizing tasks, managing stakeholders, and assessing speed/accuracy tradeoffs
Knowledge of statistical concepts used in exploratory data analysis and a strong understanding of experiment assessment, trend and correlation identification techniques (nice to have: machine learning knowledge and/or experience)
Excellent English verbal and written communication skills, good at presenting ideas and discussing solutions in large groups
Ability to quickly learn operational process concepts to understand the business perspective
Be truth-seeking, enjoy challenging your own hypotheses, with a passionate understanding of biases and how to control for them
Strong ability to make decisions under uncertainty and create structure in chaos
Action driven, appreciation for data-influenced processes, proactive and customer centric
Why join us?
Global community with people across 50+ countries
Flexibility of working from anywhere in the world
Become part of a rapidly growing startup disrupting a massive global industry with a huge market opportunity
A fast-moving, trusting, ego-free and truth-seeking environment
Have a significant impact on the growth and future of the company
Significant future growth opportunity in the role
Competitive salary and potential for future equity in the company
Pioneer the remote and data-driven future of work in a fair, meritocratic and supportive community
Superside is a remote future-of-work startup that delivers great creative at scale, mainly to global US-based brands. We currently deliver strategic design solutions to customers like Facebook, Redbull, Experian, Puma, Amazon, Salesforce, Cisco, LVMH, Twitch, Airbus, L'Oreal, Tiffany & Co. and more. We work together and with our customers through our inhouse design ops platform, enabling seamless and productive remote collaboration across the world. Superside is backed by Y Combinator, Slack Fund, Freestyle Capital and High Alpha Capital. We're a fully distributed team of ex tier one professionals located all around the world, spanning 50+ countries and 19 timezones.
Mission: Create more equal economic opportunities globally
Vision: We find and grow the world’s best creative talent
Check out www.superside.com/career for more info on who we are!
About Superside
We’re an equal opportunity company. All applicants will be considered without attention to ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.
Apply Now
|
Senior Data Scientist | Intercom |
The world’s first customer platform helping internet businesses accelerate growth☝️
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀
You’ll partner with product teams to help them identify important questions and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
You’ll drive and shape core RAD foundations and help us improve how the RAD org operates
What skills do I need? 📖
4+ years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity
Bonus skills & attributes 🙌
Experience with a scientific computing language (such as R or Python)
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams
Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)
Competitive salary and equity in a fast-growing start-up
Employer matched pension contribution
Company bonus programme
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
|
Data Scientist | Hazy |
Hazy offers an extraordinary opportunity to the right person to make a real contribution as a Data Scientist to a company that is scaling up and working with clients from multiple sectors to offer transformational synthetic data solutions.Your responsibilities will include: Develop product features such as new generative models, new metrics or support for a data type; Collaborate with the engineering team to bring and integrate relevant work into the product; Document and test implemented machine learning models clearly and thoroughly; Implement and reproduce results found in relevant literature in a production environment; and Contribute to the scientific body of literature as part of the Hazy team. The value you will bring to the Hazy team will include: Experience implementing and deploying generative models in production; Deep understanding of Machine Learning concepts; Advanced Python; Extensive knowledge of the following packages : Numpy, pandas, scikit-learn, scipy, tensorflow, pytorch; and The ability to design visuals to showcase metrics and results. Knowledge of Julia and experience experimenting with privacy concepts such as Differential Privacy would also be welcome. We are proud to offer a range of benefits that will become even broader after we close our funding round in Q1. For now, we provide: Competitive salary + equity options Generous holiday allowance Cycle to work scheme Day off on your birthday High-end laptop Remote working policy Social activities - book club, mindfulness and many more! We also offer our investment in you. This includes a comprehensive onboarding process to get you up to speed as soon as possible, ongoing pastoral care and development of your personal and professional career. We’ll work closely with you to scope out clear objectives and goals that make sure you hit your marks and keep developing. // Inclusion & DiversityHazy is committed to creating and sustaining an inclusive and diverse working environment in which everyone has an equal opportunity to fulfil their potential. We welcome applications from suitably qualified people from all sections of the community, regardless of their race, sex, gender, disability, religion or belief, sexual orientation or age.
|
Senior Data Scientist | Signifyd |
Data Science at Signifyd
The Data Science team builds production machine learning models that are the core of Signifyd’s product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.
Here you’ll have the opportunity to:
Build production machine learning models that stop fraud rings
Think creatively to engineer new features that identify fraudulent behavior
Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools
Work collaboratively with other teams across the company on strategies to tackle entirely new e-commerce verticals, geographical regions, and product offerings
Mentor other team members and help to foster a psychologically-safe environment that allows everyone on the team to leverage their full creativity and grow professionally
Past experience you’ll need:
A degree in computer science or a comparable quantitative field
At least 5 years of post-undergrad work experience
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
A Master's Degree or PhD
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
#LI-Remote
|
Senior Data Science Manager | Signifyd |
How you’ll have an impact:
Leading a team of Data Scientists and helping them set goals, collaborate, and scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Past experience you’ll need:
A degree in computer science or a comparable analytical field
2+ years of experience in people management with experience building teams and growing talent
At least 4 years of post-undergrad work experience required
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Experience we love to see:
Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
#LI-Remote
Benefits in our US offices:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
|
Data Scientist | Signifyd F7E134Af 5A3B 40F1 8D0C Af0Af035B24F |
The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
How you’ll have an impact:
Researching real-time emerging fraud patterns with our Risk Intelligence team
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Communicating complex ideas effectively to a variety of audiences
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Past experience you’ll need:
A degree in computer science or a comparable analytical field
At least 2-3 years of post-undergrad work experience required
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD
#LI-Remote
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
|
Senior Data Scientist Nlp | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Senior Data Scientist (NLP) - Calgary- Remote
Duration: Permanent
Location: Calgary
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images.
We are looking for a Senior Data Scientist to research, build, and deploy natural language processing and natural language understanding models. Using your machine learning and linguistic expertise while considering the broader business context, you will develop industry-leading functionality in visual search across many languages. This position will have a direct impact on the search and browse paths for over 50 million visitors from almost every country in the world, with a direct tie to Getty Images' revenue.
In this position, you will lead and own building NLP/NLU models to better understand our customers query intent. Partnering with data scientists, MLEs, search engineers, and product you’ll ensure we are returning the most relevant search results.
Your Next Challenge:
Build industry-leading NLP/NLU models to accelerate our international growth, using our search queries, images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences, globally in 20+ regions and 20+ languages
Partner closely with data scientists, product, machine learning engineers, engineers, user researchers, and designers to implement models aligned to customer needs and deploy to production
Develop our technical strategy and roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions, identifying solutions, and recommending measures of success.
Lead, guide and mentor team members in building best-in-class machine learning solutions
What You’ll Need:
Proven expertise building and validating NLP/NLU models with deep learning as well as traditional methods for multiple languages. Areas of preferred expertise include: text embeddings (ex: BERT), disambiguation, and modifiers.
A minimum of 5 years of hands-on technical experience in academia and industry
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Experience providing mentorship and guidance to team members.
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
Nice-to-have: Fluency in 2+ languages
Nice-to-have: Background in linguistics
Nice-to-have: Familiarity with computer vision techniques
A Ph.D. in Computer Science, Linguistics, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred
Mental and Physical Demands:
Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Extended Health Insurance
We provide comprehensive health and dental benefits.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
Group RRSP Matching Program
Save for retirement by making contributions consistently and conveniently. Getty Images will match 100% of your contributions, up to a maximum of 3% of your base salary!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
__________________________
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
|
Director Of Data Science | Synergy Sports |
Synergy Sports, A Division of Sportradar, is looking for a talented Director of Data Science to join our fully remote software team.Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as: Sports Workflow Applications Sports Analytics Systems Synergy Sports is a globally distributed company, with employees working from home offices. The Director of Data Science must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.Note: This is a fully remote position, and your physical location can be anywhere in Europe or the United States.Objectives & ResponsibilitiesThe Director of Data Science will work on the following types of projects and tasks: Lead and grow a global, remote squad of data scientists and data engineers, Collaborate closely across the sport verticals (basketball, baseball, hockey), sales, and product teams to prioritize a roadmap for the data science team, Promote best practices in all aspects of the engineering and modeling lifecycles, Deliver ML models and data pipelines that solve challenging problems, Build trust and foster a collaborative team culture of engineering excellence, and Mentor and develop people across all levels through fostering exploration, knowledge-sharing, and leveraging the skills of others. Key Requirements and Attributes: 5+ years leading data science or software engineering teams Experience with the full ML development lifecycle using modern technology in a business-critical setting Strong understanding of state-of-the-art data science techniques Inspiring leadership style that will attract and develop a high-performing team Ability to stimulate collaboration across technical groups Excellent communication skills for technical and non-technical audiences. Bonus Superpowers: MS or PhD in a quantitative field (e.g. engineering, mathematics, computer science, physics, etc…) Experience with leading geographically diverse teams Familiarity with Amazon AWS Experience with geospatial and time series data sets An interest in sports Work remotely on a fully distributed and asynchronous team. Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch. Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis. A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies. Competitive salary based on your experience.
|
Senior Data Scientist Experimentation | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Senior Data Scientist - Calgary - Remote
Duration: Permanent
Location: Calgary (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images.
We are looking for a curious hardworking and innovative Senior Data Scientist to help optimize Getty Images search experiences for our customers. This is a high-impact position where you will guide product strategy through data insights and experimentation. Your vision to extract insights about our customers, apply sophisticated statistical methods, and data-informed decisions will affect over 50 million visitors from almost every country in the world, with a direct tie to Getty Images' revenue.
In this position, you will own designing tests, developing experimentation methods, analyzing results, drawing out customer insights, and driving standard methodologies as we accelerate our experimentation. Partnering with product, data scientists, data analysts, and data engineers, you will help define success and our test and learn strategy.
Your Next Challenge:
Design and execute our online experiments (ex: A/B tests) that help us improve and fine-tune our data-focused features, algorithms/models, and products (ex: Search)
Work with product managers, designers, engineers, other data scientists, and partner teams to frame experimentation problems, both statistically and within the business and customer context
Cross collaboration with teams to help improve our experimentation pipeline and platform
Proactively conduct hypothesis-focused deep dives and explorations of user behavior data. Collaborate and partner with the User Experience Research team to demonstrate qualitative and quantitative insights to develop new hypotheses and advise on our experimentation roadmap.
Work with engineering teams to improve data collection procedures to ensure integrity and quality of the data
Develop and validate new metrics
Co-create with stakeholders to identify and prioritize areas of opportunity
Present metric development, testing methodologies, and experimentation results to technical and non-technical partners, clearly and concisely
Use your storytelling and communications skills to influence the business based on the results of yourdata science expertise.
What You'll Need:
Expertise in statistical methods (including Bayesian statistics)
Excellent application skills in experimentation methodologies (A/B, multi-armed bandit) and causal inferences
Experience with common data science toolkits, such as R/Python and libraries like pandas, scipy, stats models, scikit-learn, tidyverse (dplyr, ggplot2, etc.)
Proficiency in using query languages such as SQL and Hive.
Experience with Big Data systems and distributed computing, such as Hadoop and Spark
A self-directed individual, confident decision-maker, ability to work in ambiguous conditions, ability to break down complex problems
Strong communication skills; both written and verbal
An ability to focus on customers and their needs; can contextualize insights in product and business contexts
A Ph.D. or MS in Statistics, Data Science, Mathematics, Economics, Sociology, Psychology, Natural Sciences, or any other equivalent quantitative field is helpful. If you are self-taught and believe you are an excellent fit for this role or have significant work experience, we would love to talk!
Mental and Physical Demands:
A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Extended Health Insurance
We provide comprehensive health and dental benefits.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
Group RRSP Matching Program
Save for retirement by making contributions consistently and conveniently. Getty Images will match 100% of your contributions, up to a maximum of 3% of your base salary!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
__________________________
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
|
Data Science Manager | Mozilla |
At Mozilla, we want to protect the Internet as a global resource, open and accessible to all. We collect terabytes of data a day from millions of users to guide our decision-making. We could use your help.
As a manager on the data science team, you will own a critical piece of the Mozilla organization. Data scientists work closely with our policy, legal, and business development teams to enable decisions and contribute insights that push our mission forward and in the right direction. They build models and design experiments that improve our understanding about the operation of our business and products to ensure that we are optimizing our decisions for maximum impact on the market. We are looking for an opinionated manager with technical chops who is excited to marshal a data science team to shape the future of the Web. You will manage a small team of data scientists and will be responsible for career mentorship and technical guidance. You will work with leadership to define and execute strategies that demonstrate the value of the data contributed by our users while maintaining an ethical set of principles to guide your practice.
As a data science manager...
You are comfortable steering a team of 2-7 data scientists to align with business priorities, legal and policy agendas, and Mozilla’s greater mission.
You pride yourself on your ability to communicate technical concepts to diverse audiences across Mozilla.
You define requirements for data scientists to other parts of the Mozilla organization.
You collaborate with cross-functional management to create new initiatives and refine existing processes that increase the impact of the data science team.
You possess a strategic mindset and find motivation in creatively solving problems.
You establish best practices for data science workflows and know how to create an environment and team culture that enables data scientists to perform at their best.
You have a strong desire to contribute to Mozilla’s mission through data science.
Your professional profile
Up to 3 years of industry experience in the data science (or related) profession and up to 1 year of experience managing data scientists or other similar management experience. It is fine that you may be relatively early in your career, and we appreciate the expectation that you will grow in this role.
You have experience with a breadth of analytical methodologies and possess a solid foundation in numerous statistical techniques.
You also have experience with common data science technologies, namely SQL, Python, or R, as well as familiarity with conventional code and programming concepts.
You have strong communication skills; experience speaking at industry or academic conferences a plus.
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
|
Head Of Data Science | Planet |
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is headquartered in San Francisco, California, Earth.
About the Role:
Planet is looking for a Head of Data Science. This role reports to the President of Product and Business, and supports Planet’s product and technology teams (and beyond) through data science. Data science at Planet is not just about making it easy to understand what’s already happening; it’s about strategically understanding opportunities and influencing our roadmap through quantitative analysis of our products, customers, and market. This role is responsible for guiding and leading teams consisting of both direct reports as well as matrixed employees from across the business.
Impact You’ll Own:
Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions.
Work with leadership and cross-functional partners to define a lasting vision for the product
Build and support an incredible team of data scientists, balancing bottom-up and top-down decision making, and providing for career growth and development.
Encourage high performance and innovation by engaging employees in decision-making and development of new product and process improvement ideas
What You Bring:
5+ years of experience in data science supporting commercial or government software products
5+ years of experience managing teams of 10 or more, with a proven record of excellent leadership
A passion for Planet’s mission to use space to help life on Earth
What Makes You Stand Out:
Proven ability to build and lead teams that ship world-changing products in fast-paced environments
Experience hiring world-class data science leaders and building customer-centric cultures
A growth mindset and a desire to learn quickly
Executive presence and ability to communicate effectively to technical and non-technical audiences.
Experience with cross geographical team coordination and management
Proven problem solving skills
Benefits While Working at Planet:
Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits
Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Compensation (For Colorado Applicants Only):
The base pay range targeted for this position in Colorado is: $156,600- $243,900. This role is eligible for bonus and equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations.
Planet is registered as an employer in many, but not all, states. If you are not able to work from a state where Planet is registered, you will not be eligible for employment.
#LI-REMOTE
#LI-CM1
|
Data Scientist | Nana |
The Impact of Nana
Nana is a vertically integrated student-to-operator trade skills school, today focused on Appliance Repair. We work with some of the 35 million people who will lose their jobs by 2030 to tech automation, teaching them trade skills, building their experience through our mentorship program, and connecting them to good jobs on our marketplace. By perfecting this pipeline and teaching life skills to a new generation of tradespeople, we are accelerating the retooling of America’s workforce and creating millions of economic opportunities. We value transparency, hustle, clarity, truth, and humility.
About The Role
As a Data Scientist at Nana, you'll join a team of skilled engineers in helping to define and implement our data pipeline and science strategy. You will use existing and new tools to help answer questions about the state of the business, the impact of our engineering efforts, and the direction we're headed in. You'll work with Operations, Growth, and Product, to figure out what questions we should be asking - and then help answer them! You'll uncover important insights into the efficient operation of a marketplace and the levers that impact user behavior, and ultimately help propel Nana's growth across orders of magnitude.
About You
You are inquisitive. You dive deep into problems, leaving no stone unturned, working hard to find the right approach before you write a line of code.
You are an excellent communicator who is able to explain technical concepts clearly to technical and non-technical audiences.
You find clarity in ambiguity, taking initiative to find new ways to solve problems.
You are a collaborator who is excited to work across multiple teams in the organization.
You know when something needs to be perfect, and when something needs to be done quickly, and change your approach accordingly.
You Should Have
An expansive understanding of statistical concepts and methodologies.
A deep understanding of SQL and Python, or experience with R and an interest in using Python.
Ability to communicate complex or ambiguous concepts to a variety of stakeholders.
Experience building data visualizations and dashboards.
Experimentation and A/B Testing experience
ML Model development experience [Nice to Have]
Able to read JavaScript and work with MongoDB [Nice to Have]
Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter
What you Will Do
You will collaborate with Nana’s Operations and Marketing teams to deliver insights in the form of reports and dashboards.
You will work within our data warehouse to generate tables that support analyses and data products.
You will bolster our data request support process by building robust solutions for internal customers.
You will dive deep into complex business problems and devise data-driven solutions.
You will work with engineering to put in processes for new data collection to enable better insights in the future.
What Sets Nana Apart
* Work alongside brilliant and kind people who are motivated by Nana’s mission
* Competitive compensation including meaningful Series A equity
* Comprehensive benefits package including healthcare and 401k matching
* Unlimited PTO and generous parental leave policies
* Access to performance coaching and mental health counseling
* Leadership opportunities abound as the team scales
* Remote friendly with flexible access to our lovely downtown Oakland office
About Nana
Nana has raised $30.7M from some of the world’s most successful builders and has a deep and diverse advisory bench. We’re using the funding to expand our team, scale our volume and diversify our products. Come build with us!
Learn more about us:
There’s 30 people on the Nana team and we’re in 12 markets nationwide
Hundreds of active technicians are completing thousands of jobs each month with an average CSAT of 4.5+
We have raised $30.7M from top tier investors
Nana is featured on TechCrunch, WSJ & Cheddar TV
What do people say about Nana?
Learn more about our software, classes, academy students
Check out Nana Academy and Nana Home
Salary & Equity
$90,000-150,000
.05%-.1%
All applicants must be authorized to work in the United States.
|
Data Scientist Transaction Fraud | Divvy |
About the company
At Divvy, Our vision is to become the modern software bank for business of every small-to-medium business in America. Our FREE financial SaaS platform enables businesses to spend smarter by providing instant insight and transparency into company-wide spend and the ability to easily manage it; all in real-time! (+ many more features!)
In June 2021, Divvy joined forces with Bill.com through a $2.5 billion dollar acquisition, validating our mission to build the one-stop-shop for business finances. With 500+ mission-driven employees and extreme monthly growth, we’re well on our way.
*Certain positions at Divvy are eligible for remote work - within the United States*
About The Position
The Divvy risk team is responsible for managing risks through the customer lifecycle and across all of our products. We develop risk capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing and collections strategies. This team is focused on enabling profitable growth and delivering best-in-class customer experience.
You will work in a highly dynamic and exciting environment and will have the opportunity to shape strategies and policies for Divvy products and services. You will play an influential role in working closely with colleagues in other Risk Management teams, Marketing, Finance, Servicing, Legal, Product, and Technology to create world-class strategies and capabilities.
What You'll Be Doing
Develop statistical models and scanners to detect and prevent transaction and customer level fraud
Conduct statistical analysis on large volumes of data to identify emerging fraud patterns and reinforce current fraud prevention strategies.
Conduct quantitative analysis to decide the thresholds within which consumers and businesses can access funds or continue to spend funds given fraud and performance trends
Monitor fraud daily, maintain an effective control environment and respond to gaps with speed, urgency, and discipline
Partner in designing customer communication and servicing strategies to support risk management strategies, ensuring a positive experience across every customer touchpoint, and ensure Divvy compliance with applicable law and best practices
Develop and continuously enhance policies, processes, and controls for mitigating fraud risk exposure and preventing fraud and AML.
Identify, evaluate, and integrate new data sources and capabilities into decision-making
Partner with other teams across the company to standardize methodologies
Qualifications
Advanced degree (e.g., MS, PhD, or MBA) in a quantitative field such as Data Science, Econometrics, Statistics, Mathematics, Operations Research, Engineering, or Computer Science
Advanced degree is preferred but not required given a suitable combination of formal education and work experience
Card Fraud risk management experience and understanding of the credit lifecycle is highly preferred
Strong background in Statistics & Probability highly preferred. Able to think through business challenges and translate these into the appropriate analytic framework
A sense of passion, urgency and personal ownership over controlling losses and driving growth
A blend of analytical skills, process expertise, project management, and relationship-building skills
Ability to handle large datasets using SQL and Python, R, or another similar programming language
Thought leadership and solution-oriented mindset
Ability to think strategically and apply both quantitative methods and business insights to drive results
Ability to build strong relationships in a cross-functional environment
Clear, effective written and oral communication skills
Ability to plainly explain complex statistical & data science topics to non-technical audiences
Needed Competencies
Thought leadership and solution-oriented mindset
A sense of passion, urgency and personal ownership over controlling losses and driving growth
Ability to think strategically and apply both quantitative methods and business insights to drive results
Ability to build strong relationships in a cross-functional environment
Clear, effective written and oral communication skills
Total rewards
At Divvy, we’ve been intentional in designing scalable benefits, rewards, and perks that meet our workforce where they are while managing expectations as we scale. Just as pay parity was foundational for us in base salary, and remains our commitment and priority, our total rewards programs reflect our commitment to inclusivity and access for all.
At Divvy, you’ll enjoy:
- 100% paid employee health, dental, and vision insurance - choose between HMO, PPO, and HDHP plans
- HSA & FSA accounts w/ HSA Company Contribution
- Unlimited PTO for Salaried, Exempt employees / Accrued PTO for Hourly, Nonexempt employees
- 401k w/ Fidelity
- 12 weeks Parental Leave Program administered by Matrix for birth, non-birth, and adoptive parents (paid coordinating with any state and our Short-Term Disability insurance where applicable).
- 11+ Observed holidays and wellness days
- Wellness & Fitness initiatives
- Access to the Calm App. - a sleep, meditation and relaxation app free of charge
- Your own Divvy credit card (Divvy Uses Divvy or DuD)with $100 given every month to use on anything you want!
- Employee Stock Purchase Program: employees will be able to purchase Bill.com stock at a discount.
Perks are nice, but perks don’t make a company or individual successful - the work does. At Divvy, we’re building the financial nervous system of business - faster, better, smarter, and the work compels us to show up each day for our customers and our teams while feeling well supported in our benefits.
**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, sexual orientation, age, marital status, veteran status, or disability status.**
|
Subsets and Splits