About the role
- Oscar’s Data team is focused on pushing our understanding of this complex landscape of health care and insurance business
- Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members
- Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product
- We’re hiring several Data Scientists to support data science initiatives across multiple teams
- In this role, you’ll contribute to the development and maintenance of data pipelines, analytical models, and validation processes that power business decision-making
- You will report into a leader on the Data team (Senior Data Scientist and above)
- This posting is representative of multiple roles, and final team placement will be determined during the interview process
- Build, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery
- Assist with the testing, validation, and refinement of statistical or analytical models
- Perform advanced analytical work and validation checks on datasets and model outputs
- Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions
- Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes
- Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions
- Write clear, maintainable analytical code and documentation
- Follow established data science standards, best practices, and compliance requirements- This position is well-suited for early-career data scientists who have strong technical foundations and are excited to grow their skills while working on real-world data problems in a collaborative environment
- 1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources)
- Bachelor’s degree in a technical or quantitative field or 1+ year of relevant professional experience
- 1+ years of experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
- Master’s degree in a technical or quantitative field
- Exposure to statistical modeling, machine learning, or large-scale data processing
- Experience in healthcare, health insurance, or other regulated industries
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