Hi, we're Oscar. We're hiring a Data Scientist II 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
As a Data Scientist II (Risk Adjustment Analytics) you will work with business teams, clinical staff, and data colleagues to help develop data pipelines, models, reports and analytics that will shape our Risk Adjustment processes. The Risk Adjustment program within the ACA marketplace ensures financial stability for health insurance plans by transferring funds from insurers with healthier members to those with sicker, higher-cost members. This prevents adverse selection and maintains stable premiums and a sustainable market. The Risk Adjustment Analytics Data Science team is responsible for accurately modeling the health status and clinical risk of members and conducting research to optimize risk adjustment operations and outreach programs to improve the accuracy of member morbidity profiles. Collaborating with operational and actuarial teams, vendors, and government agencies, the team builds core risk adjustment data products, analyzes and optimizes operational outcomes, and creates models to drive Oscar's risk adjustment programs.
You will report to the Senior Data Scientist / Manager (Risk Adjustment Analytics)
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, Arkansas, 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: $131,200- $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities
- Responsible for the creation, implementation, and maintenance of data pipelines relating to member outreach programs that drive improved outcomes for our members and help us better understand their clinical risk.
- Perform analysis on our existing models while also exploring and developing new model ideas to improve operational outcomes.
- Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
- Build clear reporting to present complex, nuanced information to technical and non-technical audiences.
- Collaborate closely with data, engineering, and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. 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 processes and outcomes.
- Compliance with all applicable laws and regulations
- Other duties as assigned
Qualifications
- A bachelor's degree and 3+ years of industry or educational experience in a technical field.
- 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- 3+ 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
- Experience deploying a machine learning model in production
- Knowledge of standard machine learning methods
- Experience building dashboards
- Experience in the healthcare, insurance and/or finance industries
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 (accommodations@hioscar.com) 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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