• Senior Data Scientist

    Insight Global (Hartford, CT)


    Job 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.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • 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., BigQuery, VertexAI, Composer)

    • Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow)

    • Advanced degree in data science, statistics, computer science or related field.