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Data Science Sr Analyst (Hybrid)

LinkedIn Securian Financial St Paul, MN
Not Applicable Posted April 17, 2026 Job link
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Requirements
  • Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.
  • Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.
  • Experience building operationalized data science solutions (not just prototypes).
  • Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.
  • Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.
  • Strong ethical judgment with a commitment to responsible and unbiased AI development.
Preferred Skills
  • 2+ years of hands-on experience in data science, applied AI, or machine learning.
  • Experience supporting AI solutions in operational or production environments.
  • Familiarity with MLOps practices, model governance frameworks, and automation tooling.
  • Experience working in regulated industries (financial services preferred).