обновлено 18 часов назад
Data Scientist III (Healthcare)
107 700 - 199 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist III (Healthcare) (R/Python/SQL): Developing predictive and statistical models, forecasting methodologies, and data products for Marketplace membership planning and health management analysis with an accent on machine learning, feature engineering, and complex healthcare data. Focus on analyzing regulatory and market changes, validating program outcomes, building durable analytics pipelines, and communicating findings to support health plan decisions.
Location: Remote-MO; must be authorized to work in the United States without current or future employment-based visa sponsorship
Salary: $107,700–$199,300 per year
Company
provides healthcare services and works to improve access to care for individuals, families, and communities.
What you will do
- Develop predictive, statistical, machine learning, and forecasting models for Marketplace membership and related business outcomes.
- Build data assets, feature engineering pipelines, analytical datasets, and tools for forecasting and reporting.
- Analyze complex data sources to identify market trends, structural changes, and business drivers affecting forecast performance.
- Design experiments, monitor key metrics, and evaluate health management program outcomes using provider, claims, and membership data.
- Support technical delivery through requirements gathering, documentation, testing, user adoption, and collaboration with Health Plan stakeholders.
- Present analytical findings, manage multiple projects, and assist with training Data Analysts.
Requirements
- Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or a related experimental science field with 5+ years of experience, or a bachelor’s degree with 7+ years of quantitative analysis experience.
- Experience in data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition and transformation, and structured and unstructured data analysis.
- Experience with database technologies including Teradata, MS SQL Server, and Snowflake.
- Strong experience with statistical and analytical programming; R, Python, SQL, Databricks, Snowflake, Posit, and JupyterHub are highly preferred.
- Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future.
- Sponsorship is not available, including H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, and CPT.
Culture & Benefits
- Remote, hybrid, field, and office work schedules are supported depending on the role and circumstances.
- Health insurance, 401(k), stock purchase plans, tuition reimbursement, paid time off, and holidays.
- Compensation may be adjusted based on skills, experience, education, job-related factors, and employment status.
- Equal opportunity workplace committed to diversity and inclusion.
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