Hi, we’re Oscar. We’re hiring a Senior Manager, Data Science 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 Lead Data Scientist, you will be responsible for collaborating with the operations team and other stakeholders to generate track and improve savings from payment integrity initiatives. You will manage a team of 2-3 Data Scientists responsible for performance monitoring and ideation. You will set the technical vision for the area and ensure a holistic approach to reporting through a combination of management and self-led execution.

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: $174,400 - $228,900 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

• Translates business goals into plans and tactics for the team.
• Works with more senior leaders to establish longer term strategies and roadmaps.
• Participates in team-wide technical and operations management responsibilities.
• Leads and manages a small team of data scientists and/or analysts.
• Interacts and collaborates closely with data and business management across functional areas
• Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

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

Bonus Points

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