About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Service Fundamentals (Trust & Safety)

Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.

The Role: Senior Data Scientist

As a member of our Trust and Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

Responsibilities:

• Process, clean, and visualize data from complex databases and create top-notch reporting solutions
• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
• Design experimentation frameworks such as decision trees and A/B test models,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 
• Design, build and enhance dimensional models for BI solutions
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts, and perform data validation
• Tune SQL queries, reports, and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Minimum Qualifications:

• 5+ years experience in data analytics, strategy analytics or modeling role
• 5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)  
• Advanced skills with SQL are a must
• Proficient in Python
• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) 
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication
• This role may require on-call rotations

Preferred Qualifications:

• Proficient in Developing LookML
• Knowledge and experience of financial markets, banking or exchanges
• Experience working in small firms or start up technology first

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $136,000 - $170,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AH1

Podium’s Analytics and Data Science team generates insights that shape the future of our products, operations, and customer relationships. We are seeking a highly motivated and analytically adept Data Scientist with a strong strategic mindset to join our team. In this role, you will collaborate closely with cross-functional teams to uncover valuable insights from complex datasets, develop actionable strategies, and contribute to our overall business growth. 

What you will be doing:

• Working closely with a team of data analysts/scientists in developing new and improved analytics systems, all the way from prototyping to production.
• Researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• Attacking Podium’s most critical business problems, identifying solutions, and partnering with technical and operational teams to create business value
• Synthesizing large volumes of data from various sources to develop targeted insights using repeatable and scalable techniques
• Handle ad hoc reporting and analytics requests, while addressing stakeholder long-term goals and ensuring we’re solving the right problems
• Presenting salient visualizations that clearly articulate findings
• Changing how we think about and run the business

What you should have:

• 4+ years of relevant experience with a Bachelor’s degree.
• 2+ years of relevant experience in bizops, product, customer analytics, or any other related field.
• On the job experience working within data science capacity within a fast-paced and complex business setting.
• Proven ability to convert data to insight and communicate why it matters, both verbally and in writing.
• Expert understanding of SQL and core statistical concepts.

What we hope you have:

• Proven track record of translating data insights into strategic recommendations that have positively impacted business outcomes.
• Demonstrated ability to build automated, scalable, and repeatable solutions that enable a broad range of business users to derive value from analytical development.
• Extensive experience working on strategy or full-life cycle data science with tech/programming languages such as Python, R, git, DBT, Databricks/Snowflake.
• Capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science management.

BENEFITS

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with competitive company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees
• Additional benefits for fully remote employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. 

We are hiring a Data Scientist to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives. 

What you'll be doing:

• The Data Scientist will determine opportunities for user analytics and identify issues with user experience and communicate those findings to the Product team. They will explain why problems on products exist and prove when a new user experience can be beneficial. The Data Scientist will be responsible for designing methods to collect, organize, and analyze data about users and user behaviors. Their goal is to turn the user data into strategies about product development that create better experiences for users and help users find and use the products that CMS prioritizes.
• Synthesize existing user research and product vision to create a cohesive user experience across the suite of products that empowers beneficiaries to explore and understand HealthCare.gov’s product offerings.
• Continuously improve ECOS digital products and aid consumer understanding of their available healthcare options, streamlining their access to health plan information and their ability to enroll in a health plan that is right for their household situation.

What you’ll bring:

• 10+ years experience planning, designing, building and implementing IT-related data architecture strategies
• 5+ years experience in the direct supervision and management of major projects that involve providing professional support services and/or the integration, implementation and transition of large complex system and subsystem architectures
• Experience building  partnerships to drive change in the government space
• Experience providing  guidance to and assisting other engineers that do not report directly to them
• Experience with Google Analytics Dashboard, BigQuery, PostgreSQL, AWS (RDS database, S3, Route53)  and Tealium
• Experience working as a federal government contractor preferred

Requirements:

• Must be a US Citizen and able to work domestically 
• Must be able to attain low-level security clearance 

Education:

• Bachelor’s Degree

Benefits:

• Fully remote
• Annual Stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hello@Oddball.io

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $125,000 – $175,000

About Our Organization

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

That success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! 

What You'll Do

We are looking for a collaborative Principal Data Scientist. You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.

• Work with product teams to understand and develop data models that can meet requirements and operationalize well
• Collaborate with Product and other Engineers to solve problems that directly impact enterprise customers
• Use Data Science techniques to provide insights to the Organization as well as Customers
• If needed, build data transformations and data flows utilizing Python, DBT, and Snowflake
• Build  / evaluate predictive models that help improve our products 
• Build tools that help other team members who are working within the Analytics and Data Science teams
• Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon
• Mentor other data analysts and scientists

What You'll Bring

• Bachelor’s degree in computer science or similar field.
• 12+ years of work experience working with Data as a data scientist or researcher in a professional full-time role
• Strong knowledge of SQL, Python with at least 5 years of experience in both
• Experience of at least 2+ years with Data Analytics libraries such as Pandas, Numpy and others
• Experience of at least 5 years with cloud native infrastructure (we use Azure)
• Experience of 2+ years with containerized applications
• Experience of 3+ years building data and predictive pipelines for the healthcare industry
• Professional experience in application programming with an object-oriented language.

Expected Salary Range: $160,000 - $180,000 base + bonus

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

• Medical, Dental, and Vision benefits
• 401k with company match
• Flexible PTO with a 10 day minimum
• Opportunity for growth
• Mobile & Wifi Reimbursement
• Commuter Reimbursement
• Continuing education reimbursement
• Donation matching for charitable contributions
• Travel reimbursement for healthcare services not available near your home
• New employee home office setup reimbursement

What It’s Like Working Here

• We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
• We empower each other and believe in ensuring all voices are heard.
• We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
• We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Kalderos is proud to be an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. This position can be remote in the United States or hybrid in Chicago, IL or Boston, MA.

Kalderos participates in E-Verify.

About the Role

Product Analytics is an integral part of the future success of our business.  We support business decision-making, opportunity sizing, marketing spend & risk management helping and bring confidence to decisions made, at every level, with data and analytics. we make. As an experienced analytics practitioner, you will help to provide the data, information and insights that will inform our product investment and rollout decisions. You will proactively uncover insights and unlock opportunities that influence the product roadmap, as well as our merchandising and marketing decisions. You will define and monitor the metrics that best measure the business impact of our customer experience. You will empower partners to keep informed through reporting and data-enablement. This role is on a high-visibility Data + Analytics team and will be involved in strategic decision making on day 1. This role reports to the Sr Manager of Analytics.

You’re excited about this opportunity because you will… 

• Own product analytics across our Client Experience & Client Support functions
• Work with different groups of product managers, business partners, data scientists and engineers on how to leverage data to help solve business problems 
• Guide our product roadmaps & strategic investments through opportunity sizing & decision support
• Understand our client’s behaviors, user journeys, and long-term business trends in our data to identify opportunities for new features.
• Design, implement and evaluate A/B tests to optimize customer journey with our products – owning end-to-end while championing best practice experimentation methodologies 
• Be part of a collaborative team which has high visibility across the organization

We’re excited about you because… 

• Strong experience partnering with product managers and/or business stakeholders for decision making using data + analytics
• 5+ years in a data science or product analytics role
• Exceptional coding and design skills in Python and SQL
• Strong Experience with data mining, transforming and analyzing data across databases
• Cross functional communication skills that help simplify and move complex problems forward with business partners
• Prioritization skills with business impact in mind and ability to be pragmatic where appropriate
• Experience in working autonomously and taking ownership of projects.
• 2+ years of experience with data visualization tools (e.g. Looker, Tableau) and associated dashboard and visualization best practices
• Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)

Preferred qualifications

• Degree in a business or quantitative field (e.g., business, economics, mathematics, statistics, computer science)
• Experience working with product and engineering teams on customer facing products
• 2+ years of experience in working with clickstream(/event/log) data

Why You’ll Love Working at Stitch Fix

• We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same! 
• We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
• We are a technologically and data-driven business
• We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
• We love solving problems, thinking creatively and trying new things
• We believe in autonomy & taking initiative
• We are challenged, developed and have meaningful impact
• We take what we do seriously. We don’t take ourselves seriously
• We have a smart, experienced leadership team that wants to do it right & is open to new ideas
• We offer competitive compensation packages and comprehensive health benefits

• You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

About Stitch Fix

We're changing the industry and bringing personal styling to every body. We believe in a service and a workplace where you can show up as your best, most authentic self. The Stitch Fix experience is not merely curated—it’s truly personalized to each client we style. We are changing the way people find what they love. We’re disrupting the future of retail with the precision of data science by combining it with human instinct to find pieces that fit our client’s unique style. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. This results in a simple, yet powerful offering to our customers and a successful, growing business serving millions of men, women and kids throughout the US and UK. We believe we are only scratching the surface and are looking for incredible people like you to help us boldly create our future. 

The Data Science team builds production ML models and risk management tools that are the core of Signifyd's product.

We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud 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 skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.

From the beginning of Signifyd, the  R&D team has always had a strong contingent of remote folks, both individual contributors and leadership. The challenges of working remotely aren't new to us and we understand that a healthy remote work culture requires active investment. 

How you'll have an impact:

• Research emerging fraud patterns in real-time with our Risk Intelligence team
• Improve the important components of the Signifyd Commerce Protection Platform
• Communicate complex ideas to a variety of audiences, including executives
• Build production machine learning models that identify fraud
• Write production and offline analytical code in Python
• Work with distributed data pipelines
• Collaborate with engineering teams to strengthen our machine-learning pipeline

Past experience you'll need:

• A degree in computer science or a comparable analytical field
• 3+ years of post-undergrad work experience required
• Experience leading projects
• Strong verbal and written communication skills
• Strong machine learning and statistical background and a track record of being able to deliver under pressure.
• Write code and review others' in a shared codebase in Python
• Practical SQL knowledge
• Design experiments and collect data
• Familiarity with the Linux command line
• This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

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

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

OVERVIEW

About the Role

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership

ABOUT YOU

Minimum Qualifications

• 2+ years experience working in a quantitative role at a product company or a research organization
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• A desire to build and improve consumer software products
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

• Awareness of business trade offs when working on a multi-sided marketplace 
• Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
• MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

OPEN ROLES:

Ads Measurement

The ads measurement data science team at Instacart is responsible for understanding the performance of our ad products as well as understanding user behavior and helping advertisers optimize their strategies. This is a growing team with a lot of potential in the next year; we have some of the foundations of measurement down, but there is a lot of open space to explore and drive impact for our business and our CPG & retail partners.

Auction & Ranking

The auction and ranking team is at the center of all of our ad products' operations. This team is responsible for figuring out how our auction should price and rank the billions of ads that we show each day to users. The team works on marketplace dynamics, trying to balance value across our users, advertisers, retailers and Instacart to make sure that our business is setup for success in the long term.

Discover

The Discover team at Instacart aims to make it effortless for customers to effortlessly shop the food and products they need to power their lives. In this role, you’ll work closely with product, engineering, and machine learning partners across experimentation, product development, and model iteration. You’ll work with the team to identify opportunities to improve the customer shopping experience by balancing their needs to both shop efficiently and also discover new products they’ll love.

Ecosystems

This central unit is integral to supporting executive decision-making and company strategy. As a data scientist on the ecosystem team, you will be conducting analyses that span various parts of the business such as consumer, advertiser, retrailer, and more. You will engage closely with leaders across different functions. Your insights will play a crucial role in integrating new concepts into Instacart’s overarching business strategy. This  role is pivotal in evaluating Instacart's current operational health, forecasting its short-term trajectory, and guiding the development of its 2-3 year strategic plan.

Growth Systems

As a Data Scientist on the Growth Systems team, you will play a crucial role in shaping the trajectory of high-priority initiatives such as Marketing Investment Optimization, User Incentives Innovation, Data and Intelligence Foundation. Your responsibilities will include developing analytical frameworks and insights that inform product strategy, investment efficiency, prioritization, and operational excellence. Leveraging your level expertise, you will analyze user behavior, product performance, and market trends, providing recommendations that cut through ambiguity and collaborating cross-functionally to drive projects from conception to execution within this dynamic and innovative team.

Pay, Incentives, and Marketplace Coordination

The Marketplace Dynamics data science group investigates foundational and applied problems at the core of Instacart’s marketplace and fulfillment business. As a data scientist in the Pay, Incentives, and Marketplace Coordination team, you will work on challenging analytical, experimental, and inferential problems to understand and expand the efficient frontier of a balanced, sustainable, and resilient multi-sided marketplace. You will engage closely with machine learning, operations research, product and policy partners to improve marketplace systems, develop new products, and scale experimentation capabilities.

#LI-Remote

Hi, we're Oscar. We're hiring Data Scientists to join our team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience.

About the role

Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 50+ researchers, data scientists, and analysts to leverage our efforts!

We are looking for several new Data team members to join us in a few of our work streams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.

Example areas you might work in are:

• helping determine what the best doctors are in service of our strategic goals
• working to understand the best ways we and our clients can engage members to improve outcomes
• identifying ways our in-house medical group can improve outcomes and reduce costs

You will report into a data science leader (Senior Data Scientist or above).

Work Location

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency

The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities:

• Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow without significant manager oversight.
• Develop new models while maintaining and enhancing our existing capabilities. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices while identifying new opportunities to extend functionality where appropriate.
• Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
• Collaborate closely with data leaders and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes.
• Compliance with all applicable laws and regulations.
• Other duties as assigned.

Requirements:

• A bachelor's degree and 3+ years of industry or educational experience in a technical field.
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus points:

• Master’s degree in a technical field
• Experience deploying a machine learning model in production
• Knowledge of standard machine learning methods
• Experience building dashboards
• Experience in the healthcare, insurance and/or finance industries