Data Scientist I, Contracts & Out of Network

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

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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 30+ researchers, data scientists, and analysts to leverage our efforts!

As a Data Scientist I, you will partner closely with our Market P&L, Tech and Legal teams to develop models and tooling to better understand Oscar’s medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into an Associate 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 Ave), 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: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change.

Pay Transparency:

The base pay for this role is: $119,200 - $156,450 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

• Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.

• Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.

• Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.

• Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.

• Compliance with all applicable laws and regulations

• Other duties as assigned

Qualifications

• A bachelor’s degree in a technical field OR 1+ years of relevant work experience

• 1+ years experience working with SQL or Python

• 1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis  

Bonus Points

• Master’s degree in a technical field

• Knowledge of or previous work experience in health care or health insurance