Sr Data Scientist

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.What you'll doAnalyze structured and unstructured datasets to surface trends, opportunities, and business insightsDevelop and deploy models for prediction, classification, clustering, and optimizationUse machine learning, statistical analysis, and AI techniques to address business problemsDiscover hidden patterns and relationships within complex datasetsSupport experimentation, hypothesis testing, and model validationPartner with business, operations, and technology teams to define analytical requirements and solutionsTranslate business challenges into data science use cases and analytical frameworksProduce insights and recommendations to improve operational performance and business outcomesCreate reusable analytical assets, models, and reporting frameworksApply AI/ML approaches including predictive analytics, anomaly detection, recommendation systems, NLP, and generative AI when appropriateMonitor and evaluate model performance, recommending enhancements as neededPresent analytical findings and insights to stakeholdersContribute to data science best practices and continuous improvement effortsWhat you bring3+ years of experience in Data Science, Machine Learning, AI, or Advanced AnalyticsExperience working with large-scale datasetsHands-on experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or equivalentKnowledge of data visualization and analytical storytellingProficiency in Python, SQL, R, or similar analytical languagesA strong foundation in statisticspredictive modeling, and machine learningProven problem-solving and communication skillsTech stack you'll usePython, SQL, R, Scikit-learn, TensorFlow, PyTorch, XGBoost, NLP, generative AI, predictive analytics, anomaly detection, recommendation systemsPreferred qualificationsExperience with Generative AI, Large Language Models (LLMs), Agentic AI, or related technologiesExperience building predictive or decision intelligence solutionsExperience with anomaly detection, recommendation engines, or intelligent automation solutionsExperience working in large enterprise environmentsFamiliarity with cloud-based analytics platformsBenefits and compensationComprehensive benefits packageIncentive and recognition programsEquity stock purchase401k contribution (all benefits subject to eligibility requirements)Salary range: $91,700 to $163,700 annually (based on full-time employment)Application timelinePosted for a minimum of 2 business days or until a sufficient candidate pool has been collectedMay come down early due to volume of applicantsJ-18808-Ljbffr