Senior Data Scientist, Data & Member Behavior

Oscar Health

🔍 Observed

$187K - $229K USD

Tempe, Arizona, United States First seen 3 weeks, 1 day ago Last seen 1 hour, 42 minutes ago Greenhouse

Apply on Greenhouse Search Google for This Role

ATS links often expire — Google search finds the latest posting

Job Description

AI Summary

• Develop and launch personalized multi-channel marketing campaigns using predictive models to influence member health behaviors and reduce medical costs, with end-to-end accountability from ideation through measurement. • Requires 4+ years of quantitative technical experience, 3+ years working with SQL/R/Python for data analysis, and 3+ years building data models with advanced analytics and statistical methods. • Design and optimize targeted data pipelines using techniques like multi-armed bandits (MAB) and causal machine learning, collaborating cross-functionally with marketing and clinical teams. • Hybrid role based in NYC, LA, or Tempe (3 days/week in-office with flexible scheduling) or fully remote if in Boston/Bay Area, with salary range $158,400-$207,900 plus equity, bonuses, and unlimited vacation. • Healthcare/finance/insurance industry experience is a bonus, with up to 5% travel required; reports to Senior Director of Data Science.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team.

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

About the role

Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning).

You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign.

You will report to the Senior Director, Data Science.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

Works with team and manager to impact longer term strategies and roadmap
Sets shorter term roadmap for team
Interacts and collaborates closely with data and business counterparts across functional areas
Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
Compliance with all applicable laws and regulations
Other duties as assigned

Qualifications

4+ years of industry or other quantitative technical fields (which may include academia).
3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points

Advanced degree in a quantitative or technical field
Experience in the healthcare, finance and/or insurance industries

Travel

Up to 5%

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

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 (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.

Quick Actions

Apply Externally Search Google Back to Jobs

Job Information

Company:
Oscar Health
Location:
Tempe, Arizona, United States
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

65 /100

Likely Active (65)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →