|
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 & a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselvesone 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 & 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 & optimize campaigns in real time to attribute best performing marketing variants, & measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), & measurement techniques (traditional statistical & casual machine learning).
You work cross functionally with marketing & 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 based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings & 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, & annual performance bonuses.
Responsibilities
- Works with team & manager to impact longer term strategies & roadmap
- Sets shorter term roadmap for team
- Interacts & collaborates closely with data & business counterparts across functional areas
- Researches, develops, & maintains data pipelines, statistical/ML models, and/or advanced analyses
- Compliance with all applicable laws & 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 & 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 & find both belonging & support. We're on a mission to change health care -- an experience made whole by our unique backgrounds & perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, & experience. Full-time employees are eligible for benefits including: medical, dental, & vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life & disability insurance, & paid wellness time & reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates & detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicants 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, & disclosure of applicants personal information as well as applicants rights over their personal information, please see our Privacy Policy.
|
