{"id":1885520,"url":"https://alion.io/job/unitedhealth-group-sr-data-scientist-remote","title":"Sr Data Scientist - Remote","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":112,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Minnetonka, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":175000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-05T02:14:43Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-28T07:24:41Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to startCaring. Connecting. Growing together.\nYou'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. MN preferred\nFor all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.\nPrimary Responsibilities:\nAnalyze structured and unstructured datasets to identify trends, opportunities, and business insights\nDevelop and deploy predictive, classification, clustering, and optimization models\nApply machine learning, statistical analysis, and AI techniques to solve business problems\nIdentify hidden patterns and relationships within complex datasets\nSupport experimentation, hypothesis testing, and model validation activities\nPartner with business, operations, and technology teams to define analytical requirements and solutions\nTranslate business challenges into data science use cases and analytical frameworks\nGenerate insights and recommendations that improve operational performance and business outcomes\nDevelop reusable analytical assets, models, and reporting frameworks\nUtilize AI/ML techniques including predictive analytics, anomaly detection, recommendation systems, NLP, and generative AI where appropriate\nMonitor and evaluate model performance and recommend enhancements\nPresent analytical findings and business insights to stakeholders\nContribute to data science best practices and continuous improvement initiatives\nYou'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.\nRequired Qualifications:\n3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics\nExperience working with large-scale datasets\nExperience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or equivalent\nKnowledge of data visualization and analytical storytelling\nProficiency in Python, SQL, R, or similar analytical languages\nProven solid foundation in statistics, predictive modeling, and machine learning\nProven solid problem-solving and communication skills\nPreferred Qualifications:\nExperience with Generative AI, Large Language Models (LLMs), Agentic AI, or related technologies\nExperience building predictive or decision intelligence solutions\nExperience with anomaly detection, recommendation engines, or intelligent automation solutions\nExperience working in large enterprise environments\nFamiliarity with cloud-based analytics platforms\n*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.\nPay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.\nApplication Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.\nAt UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.\nUnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.\nUnitedHealth Group is a drug-free workplace. 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