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Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data 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
The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals.
You will report to the Lead Data Scientist.
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 Dr), 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, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, 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: $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
- May manage data scientists and/or analysts
- 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.
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.
Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar.
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 Notice to Job Applicants.
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