Principal Data ScientistBlue Cross Blue Shield of Minnesota • United States
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Principal Data Scientist
Blue Cross Blue Shield of Minnesota
- United States
- United States
À propos
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us. The Impact You Will Have
Blue Cross and Blue Shield of MN is hiring a Principal Data Scientist in Eagan, MN. The Principal Data Scientist will lead the design and deployment of advanced AI solutions, leveraging large language models (LLMs) and innovative agentic AI architectures. This individual will develop scalable systems where multiple AI models collaborate to produce insights and enhance efficiency across the organization. In this role, you will drive the development of cutting?edge AI models and scalable systems that enable collaboration across multiple models to deliver actionable insights. You will design and implement solutions that ensure accuracy, reliability, and performance while incorporating best practices for fairness and transparency. Working closely with cross?functional teams, you will assess potential risks, optimize workflows, and establish governance processes for model monitoring and lifecycle management. Additionally, you will stay current with emerging technologies and regulatory requirements, mentor data scientists and engineers, and champion innovative approaches to integrating LLMs and agentic AI architectures into enterprise applications. The ideal candidate brings at least seven years of experience in data science, progressing from predictive analytics and machine learning to sophisticated LLM?driven AI applications. You excel at designing solutions that synthesize data, streamline operations, and deliver impactful insights. Success in this role requires strong partnership skills to translate complex business problems into effective data science and machine learning solutions, while maintaining a balance between innovative advancements and responsible governance for safe, scalable AI deployment. Your Responsibilities
Lead 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. Act as a mentor to junior data scientists around mature data science practices such as readable code, thorough documentation, and comprehensive experimentation. Work with autonomy with business partners to convert ambiguous business problems into clear data science/ML specifications, using contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations. Work hand?in?hand with product managers, data engineers, and subject matter experts to ship new models, algorithms, and improvements continuously and collaboratively into production. Use a 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
7+ years of related professional experience. Hands?on experience in analytics and data science, including classification, regression, unsupervised learning, time?series/sequence models, NLP, explainability methods, and deep learning. Advanced proficiency in data science tools such as Python, R, Spark, and SQL. Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data. Strong communication skills and ability to deliver highly technical results to a diverse audience. Ability to mentor junior data scientists and lead projects from end to end. High school diploma (or equivalency) and legal authorization to work in the U.S. Preferred Skills and Experience
Advanced degree in Data Science, Machine Learning, or related field. Proven experience in building and deploying AI/ML models at scale. Deep understanding of Responsible AI frameworks, bias detection, and explainability techniques. Strong communication skills to influence stakeholders and drive organizational change. Proven experience translating complex analyses into actionable insights. Ability to break down complex or unclear problems into data?driven hypotheses. 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 repositories. Node.js, React, Terraform, and database skills. Experience with AWS tools such as Bedrock, DynamoDB, S3, and 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. Compensation and Benefits
Pay Range: $100,000.00 $135,000.00 $170,000.00 Annual. Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job. We offer a comprehensive benefits package which may include: Medical, dental, and vision insurance Life insurance 401k Paid Time Off (PTO) Volunteer Paid Time Off (VPTO) And more To discover more about what we have to offer, please review our benefits page. Role Designation
Hybrid Anchored in Connection
Our hybrid approach is designed to balance flexibility with meaningful in?person connection and collaboration. We come together in the office two days each week most teams designate at least one anchor day to ensure team interaction. These in?person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote. Equal Employment Opportunity Statement
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an affirmative action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic. Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at talent.acquisition@bluecrossmn.com. Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association. #J-18808-Ljbffr
Compétences linguistiques
- English
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