Principal Data Scientist - AI/ML

Posted 20 Days Ago
Be an Early Applicant
Eagan, MN
100K-170K Annually
Senior level
Healthtech • Insurance
The Role
Lead data science projects, mentor junior scientists, and convert complex business requirements into data solutions using advanced analytics and AI/ML techniques.
Summary Generated by Built In

About Blue Cross and Blue Shield of Minnesota

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 that is 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

This position works across the Enterprise to identify areas of opportunities to create process efficiencies, innovate and provide value using advanced analytics and data science. The position will manage complex data and information to provide meaningful results, which influence strategic decision-making at Blue Cross. Responsibilities include understanding complex business requirements, data management and stewardship for a variety of complex data sources, data analysis and the application of advanced analytical techniques, such as building generative and predictive models to create value for the organization.

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 e.g., readable code, thorough documentation, comprehensive experimentation.

  • Work with autonomy with business partners to convert ambiguous business problems in clear data science/AI/ML specifications - Use 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, AI engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production and monitor them going forward.

  • 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 & Experience

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

  • 7+ 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 (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).

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

Preferred Skills and Experience 

  • Master's or Ph.D. degree

  • Experience with health care data

  • Experience with AWS/Azure tools

  • Experience with version control (for example Git Version Control system)

  • Experience with Generative AI (text/vision) modeling and evaluation

    Role Designation

    Teleworker

    Role designation definition: Teleworking is working full time remote. Hybrid is a combination of working onsite and remotely.  Onsite is full-time onsite.

    Compensation and Benefits

    $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.

    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: [email protected].

    Blue Cross® and Blue Shield® of Minnesota and Blue Plus® are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

    Top Skills

    AWS
    Azure
    Git
    Python
    R
    Spark
    SQL
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    The Company
    HQ: Eagan, MN
    3,267 Employees
    On-site Workplace

    What We Do

    Blue Cross and Blue Shield of Minnesota is a taxable, nonprofit organization with a mission to make a healthy difference in people’s lives. Chartered in 1933 as Minnesota’s first health plan, we’ve promoted wider, more economical and timely availability of health services for the people of Minnesota for 80+ years.

    Blue Cross® and Blue Shield® of Minnesota is a nonprofit independent licensee of the Blue Cross® and Blue Shield® Association.

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