Senior Data Scientist, Lucie

Oscar Health•New York, NY

3d•$163,944 - $215,176•Hybrid

About The Position

Oscar is hiring a Senior Data Scientist to join the Data Team and support Lucie, Oscar’s all-in-one storefront for shopping for healthcare. The role will help strategize, build, and measure the launch of the business and product. It involves working with both legacy data and systems and building modern infrastructure and models. The Senior Data Scientist will partner with product, engineering, operations, and business leads to scope problems and opportunities and bring solutions to life. This is a builder-focused role for someone who can turn ambiguity into well-engineered, validated, and maintainable production systems. The role owns projects end to end, from stakeholder scoping and technical design through implementing pipelines and models, validating outputs against existing processes, and iterating after launch. The position reports to the Director, Data Science. It is based in Oscar’s New York City office and follows a hybrid schedule with three in-office days each week. Thursdays are required for team meetings and events; the other two office days are flexible.

Requirements

At least 4 years of experience in industry or other quantitative technical fields, which may include academia.
At least 3 years of experience using SQL, R, and/or Python to query, manipulate, and analyze data.
At least 3 years of experience building data models and using advanced analytics methods, statistical modeling, and/or data processing.

Nice To Haves

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

Responsibilities

Work with the team and manager to influence longer-term strategies and roadmaps.
Independently propose and execute the team’s shorter-term roadmap.
Collaborate closely with data and business counterparts across functional areas.
Research, develop, and maintain data pipelines, statistical or machine-learning models, and/or advanced analyses.
Comply with all applicable laws and regulations.
Perform other duties as assigned.
Own projects end to end, including scoping problems with stakeholders, designing technical approaches, implementing pipelines and models, validating outputs against existing processes, and iterating after launch.