Data Scientist I Network and Contracts

Hi were Oscar. Were hiring a Data Scientist to join our Data 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 ourselvesone that behaves like a doctor in the family.

About the role:

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 Oscars 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 the Senior Data Scientist.

Work Location: This position is based in our New York City office requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $119200- $156450 per year. You are also eligible for employee benefits participation in Oscars unlimited vacation program company equity grants and annual performance bonuses.

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

Requirements:

• A bachelors degree in a technical field OR 1 years of relevant work experience
• 1 years experience working with SQL or intermediate Python For example working with multiple data sources
• 1 years experience building data models and using more advanced analytics methods including conducting in depth analysis rather than simple descriptive analysis

Bonus points:

• Masters degree in a technical field
• Knowledge of or previous work experience in health care or health insurance