A Career of Your Calling

The Impact You Will Have

Blue Cross and Blue Shield of Minnesota is hiring a Senior Data Scientist in Eagan, MN. This position works across the Enterprise to identify opportunities for process efficiencies, innovation, and value creation through advanced analytics and data science. You will manage complex data and deliver meaningful insights that influence strategic decision-making at Blue Cross. This role involves understanding intricate business requirements, stewarding diverse data sources, applying advanced analyticaltechniques, and building AI models that drive organizational impact.

The ideal candidate will have 5+ years of Data Science experience and is highly proficient in Python for end-to-end data workflows. They are skilled in building CI/CD pipelines with GitLab, automating deployments, and containerizing applications with Docker. Familiarity with AWS services (Bedrock), is preferred. The candidate will have experience with GenAItools, including LangChainand LangGraph, and understand prompt engineering and vector store integration (e.g., FAISS, ChromaDB). Shell scripting for automation and task scheduling is a plus. Bonus skills include Node.js, React, and database technologies. Strong communicationand collaboration skills are essential, with the ability to translate complex data insights into clear, actionable guidance.

Your 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.

• Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.

• 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.

Required Skills and Experience

• 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.

• Hands-on experience in analytics and data science (classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).

• Solid proficiency in data science tools such as Python, R, Spark, SQL.

• Experience implementing predictive algorithms and statistical analysis/inference in workflows using structured and unstructured data.

• Ability to communicate highly technical results to diverse audiences.

• Comfortable working as part of a team and taking initiative.

• High school diploma (or equivalency) and legal authorization to work in the U.S.

Preferred Skills and Experience

• Bachelor’s degree.

• Proven experience translating complex analyses into actionable insights.

• Ability to break down complex or unclear problems into data-driven hypotheses.

• Technical Skills:

• Python: End-to-End Data Workflows is strongly preferred

• Experience working with large language models (LLMs)

• CI/CD and Infrastructure as code – experience with Docker
• Author and maintain Github
• Node.js experience

• React
• Terraform

• Database skills

• Familiarity with AWS services:

• AWS Bedrock is strongly preferred

• DynamoDB

• S3

• Fargate

• 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..

• Ability to craft compelling narratives using visuals and clear written summaries.

• Prior experience in healthcare or related field is strongly preferred.