Lead Data Scientist Job at Insight Global, Waterbury, CT

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  • Insight Global
  • Waterbury, CT

Job Description

We are seeking a highly skilled and motivated Lead Data Scientist in our Medicare Member Experience Data Science Team. In this role, you will be responsible for overseeing the development of data science models and solutions in Google Cloud Platform (GCP) environment to improve the quality of our Medicare Stars program.

As the Lead Data Scientist, you will interact with a core team of fellow data scientists to develop machine learning models and solutions that drive improvements in healthcare member experience and operational performance metrics. You will collaborate closely with cross-functional teams, including data engineers, domain experts, and business stakeholders, to understand requirements, define objectives, and deliver actionable insights.

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 HR@insightglobal. com.


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Graph Data modeling, Hands on experience with Neo4j knowledge about Graph Database & Graph theory
Extensive experience (5+ years) in developing and deploying machine learning models in a production environment, preferably in healthcare or related industries.

Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks such as TensorFlow, scikit-learn, or PyTorch.

Strong knowledge of cloud computing platforms, particularly Google Cloud Platform (GCP), and experience with relevant GCP services (e. g., BigQuery, Dataflow, AI Platform).

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