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Senior Data Scientist, Product

Oscar Health

New York (NY)

Remote

USD 158,000 - 208,000

Full time

9 days ago

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Job summary

Join a forward-thinking health insurance company as a Senior Data Scientist. In this role, you will leverage your expertise in data analysis and modeling to enhance user experiences for members and providers. Collaborate with a dedicated team to drive projects that utilize advanced analytics and insights, contributing to the transformation of healthcare. With a focus on innovation and a commitment to improving care coordination, this position offers a unique opportunity to impact the future of health insurance. Enjoy the flexibility of a remote work environment while being part of a mission-driven organization.

Benefits

Unlimited Vacation Program
Company Equity Grants
Annual Performance Bonuses
Medical Benefits
Dental Benefits
Vision Benefits
401(k) Plan Participation
Paid Parental Leave
Paid Sick Time
Paid Wellness Time

Qualifications

  • 4+ years in quantitative technical fields, including industry or academia.
  • Experience with SQL, R, and Python for data analysis.

Responsibilities

  • Collaborate with product and operations teams to enhance user experience.
  • Develop and maintain data pipelines and statistical models.

Skills

SQL
R
Python
Data Modeling
Statistical Modeling

Education

Bachelor's Degree in a Quantitative Field
Advanced Degree in a Quantitative Field

Job description

Hi, we're Oscar. We're hiring a Senior Data Scientist, Product to join our Data Science 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 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!

As a Senior Data Scientist, you will collaborate closely with our product and operations teams to understand and quantify the user experience for Oscar members and providers. You will drive projects aimed at enhancing the user experience through modeling, advanced analytics and data-driven insights.

You will report to a Director, Data Science

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, 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

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

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.

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 .

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