Oscar is looking to drive impact through high engagement with members and a variety of high-tech touchpoints to influence behaviors that are key to their health, by developing personalized multi-channel marketing campaigns to lower medical cost.
Requirements
- 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
- Experience with predictive models
- Experience with pipeline/ML model development
- Experience with optimization techniques such (e.g. MAB)
- Experience with measurement techniques (traditional statistical and casual machine learning)
- Advanced degree in a quantitative or technical field
Responsibilities
- Develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health
- Ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns
- Research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning)
- Works with team and manager to impact longer term strategies and roadmap
- Sets shorter term roadmap for team
- Interacts and collaborates closely with data and business counterparts across functional areas
- Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
Other
- 4+ years of industry or other quantitative technical fields (which may include academia)
- Up to 5% travel required
- Compliance with all applicable laws and regulations
- Accountability for the success of each campaign
- Work in a hybrid role in the New York office, with part of the time in the office and part of the time remote / work-from-home
