Note: The job is a remote job and is open to candidates in USA. UnitedHealthcare is transforming the health care system through advanced analytics and technology to improve care and operational outcomes. The Senior Data Scientist will design and deploy AI and machine learning solutions, analyze complex enterprise datasets, develop predictive and optimization models, and provide actionable recommendations. The role also involves partnering with cross-functional teams, promoting ethical AI practices, developing scalable decision-support solutions, and mentoring junior data professionals.
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges, collaborating with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
- Analyze large, complex, and diverse datasets to identify trends, anomalies, hidden relationships, and previously undiscovered insights across the enterprise
- Develop predictive, prescriptive, and optimization models to improve business performance and operational effectiveness using machine learning, deep learning, NLP, and generative AI capabilities
- Formulate hypotheses, conduct experiments, and validate findings using rigorous analytical and statistical methodologies
- Evaluate emerging AI/ML trends to inform solution design, strategic innovation, and continuous improvement across enterprise applications
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Partner with business, product, operations, and technology teams to translate complex analytical findings into clear business recommendations and executive-level insights
- Design and implement scalable analytical frameworks, reusable models, and decision-support solutions
- Mentor junior data scientists and analysts on analytical techniques, experimental design, and model development
Skills
- 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or AI-related roles
- 3+ years of experience programming in Python, R, or SQL for data modeling and analysis
- 3+ years of experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
- 2+ years of experience working with large-scale structured and unstructured enterprise datasets
- 2+ years of experience with experimental design, hypothesis testing, optimization, and predictive modeling
- Experience applying Generative AI, Large Language Models (LLMs), Agentic AI, or advanced AI techniques to business problems
- Experience building decision intelligence solutions that influence operational or strategic outcomes
- Knowledge of cloud-based analytics platforms and modern data ecosystems
- Experience developing recommendation engines, pattern detection frameworks, anomaly detection models, or intelligent automation solutions
- Experience operating in highly regulated, data-intensive enterprise environments
Benefits
- Flexibility to work remotely from anywhere within the U.S.; for hires in the Minneapolis or Washington, D.C. area, required to work in the office a minimum of four days per week
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Development for other roles you may be interested in
Company Overview
Company H1B Sponsorship