Hi, we’re Oscar. We’re hiring a Data Scientist I, Risk Analytics 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 I, Risk Analytics, you will work closely with the actuarial team, value capture team and other data scientists to help develop data pipelines, models, reports and analytics to improve Oscar’s risk adjustment processes. 

You will report into a Director of 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. This is a hybrid role in our Los Angeles (Marina del Rey) office. You will work part of the time in the office and part of the time remote / work-from-home. #LI-Hybrid

Pay Transparency:

The base pay for this role is $119,200-$156,450 per year. You are also eligible for employee benefits, company equity grants, participation in Oscar’s unlimited vacation program 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 and processes that are integral to Oscar’s risk quantification and submission process. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.
• Support upkeep and enhancement of our clinical risk quantification 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 the overall data process of Oscar’s risk adjustment effort. 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 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 advanced analytics

Bonus points:

• Master’s degree in a technical field
• Knowledge of or previous work experience in health care or health insurance