We are seeking a highly skilled and motivated Principal Data Scientist in our Medicare Stars Clinical Data Science Team. In this role, you will be responsible for developing complex machine learning models in a Hadoop and Google Cloud Platform (GCP) environment to improve the quality of our Medicare Stars program. As the Principal Data Scientist, you will lead a team of data scientists and machine learning experts to develop innovative solutions that drive improvements in healthcare quality measures and 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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Required Skills & Experience

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).

Nice to Have Skills & Experience

Masters or Doctorate

Expertise in optimizing and scaling big data processing frameworks. Mastery in working with NoSQL and GCP databases for handling unstructured and semi-structured data.

Expertise in implementing MLOps practices for efficient model deployment and monitoring in the GCP environment.

Expertise in integrating machine learning models with existing systems through APIs in the GCP environment.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.