Blue Cross and Blue Shield of Minnesota is looking to hire a Senior Data Scientist to identify opportunities for process efficiencies, innovation, and value creation through advanced analytics and data science, manage complex data, and deliver meaningful insights that influence strategic decision-making.
Requirements
- 5+ years of Data Science experience
- highly proficient in Python for end-to-end data workflows
- skilled in building CI/CD pipelines with GitLab, automating deployments, and containerizing applications with Docker
- experience with GenAI tools, including LangChain and LangGraph
- understand prompt engineering and vector store integration (e.g., FAISS, ChromaDB)
- Shell scripting for automation and task scheduling
- Hands-on experience in analytics and data science (classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning)
Responsibilities
- Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
- Work with business partners to convert ambiguous business problems in clear data science/ML specifications.
- Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
- Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
- Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
- Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.
Other
- Strong communication and collaboration skills are essential, with the ability to translate complex data insights into clear, actionable guidance.
- Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
- Comfortable working as part of a team and taking initiative.
- High school diploma (or equivalency) and legal authorization to work in the U.S.
- Proven ability to work cross-functionally with business stakeholders to understand needs, translate between technical and business objectives, and deliver solutions that align with strategic goals.
