Sr. Data Scientist
Listed on 2026-01-11
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$50.00/hr - $60.00/hr
Direct message the job poster from Insight Global
Professional Recruiter @ Insight Global | Recruiting, Communication, OrganizationJob Description:
We seek a skilled Senior Data Scientist in our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying machine learning (ML) models to assist in a variety of customer satisfaction initiatives. You will segment members, work with highly imbalanced datasets, and build predictive models that identify when and how we should contact our members.
Your ML solutions will assist Aetna in maintaining its STARS ratings by identifying areas for improving member experience. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud.
- 3+ years industry experience in data science or machine learning
- 3+ years experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
- Proficient in Python and object-oriented programming
- Experience predicting outcomes in highly imbalanced datasets
- Experience deploying machine learning (ML) models in a production environment
- Experience navigating and querying production tables for features correlated with modeling outputs
- Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring
- Experience translating business requirements into actionable insights and ML solutions.
- Good communication skills including the ability to explain technical concepts to non-technical audiences.
- Bachelor’s degree in data science, statistics, computer science or related field.
- Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
- Experience with healthcare data, especially in the customer service domain
- Experience with Google Cloud Platform tools (e.g., Big Query, Vertex
AI, Composer) - Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (Data Proc, Data Flow)
- Advanced degree in data science, statistics, computer science or related field.
Mid-Senior level
Employment typeContract
Job functionHealth Care Provider and Information Technology
IndustriesTechnology, Information and Media
Hospitals and Health Care
Benefits- Vision insurance
- Medical insurance
- 401(k)
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