Sr Data Scientist
Job in
Minneapolis, Hennepin County, Minnesota, 55421, USA
Listed on 2026-10-10
Listing for:
Optum
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Optum is looking for a Sr Data Scientist in Minnetonka, MN (remote) to analyze healthcare-related structured and unstructured data and build predictive and AI/ML solutions that support better operational and business outcomes. You will collaborate across business and technology teams, deploy models into real workflows, and share insights with stakeholders. The role is backed by a comprehensive benefits package and compensation in the $91,700 to $163,700 range annually (based on full-time employment), with incentive and recognition programs and an equity stock purchase opportunity.
Whatyou’ll do
- Analyze structured and unstructured datasets to surface trends, opportunities, and business insights
- Develop and deploy models for prediction, classification, clustering, and optimization
- Use machine learning, statistical analysis, and AI techniques to address business problems
- Discover hidden patterns and relationships within complex datasets
- Support experimentation, hypothesis testing, and model validation
- Partner with business, operations, and technology teams to define analytical requirements and solutions
- Translate business challenges into data science use cases and analytical frameworks
- Produce insights and recommendations to improve operational performance and business outcomes
- Create reusable analytical assets, models, and reporting frameworks
- Apply AI/ML approaches including predictive analytics, anomaly detection, recommendation systems, NLP, and generative AI when appropriate
- Monitor and evaluate model performance, recommending enhancements as needed
- Present analytical findings and insights to stakeholders
- Contribute to data science best practices and continuous improvement efforts
- 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics
- Experience working with large-scale datasets
- Hands-on experience with ML frameworks such as Scikit-learn, Tensor Flow, PyTorch, XGBoost
, or equivalent - Knowledge of data visualization and analytical storytelling
- Proficiency in Python, SQL, R, or similar analytical languages
- A strong foundation in statistics
, predictive modeling
, and machine learning - Proven problem-solving and communication skills
Python, SQL, R, Scikit-learn, Tensor Flow, PyTorch, XGBoost, NLP, generative AI, predictive analytics, anomaly detection, recommendation systems
Preferred qualifications- Experience with Generative AI, Large Language Models (LLMs), Agentic AI
, or related technologies - Experience building predictive or decision intelligence solutions
- Experience with anomaly detection, recommendation engines, or intelligent automation solutions
- Experience working in large enterprise environments
- Familiarity with cloud-based analytics platforms
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits subject to eligibility requirements)
- Salary range: $91,700 to $163,700 annually (based on full-time employment)
- Posted for a minimum of 2 business days or until a sufficient candidate pool has been collected
- May come down early due to volume of applicants
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