Sr Data Scientist - Remote

UnitedHealth Group•Minnetonka, MN

6h•$91,700 - $163,700•Remote

About The Position

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together We are seeking a highly analytical and innovative Senior Data Scientist to join a strategic enterprise program focused on transforming complex business processes through advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML). This role combines deep data science expertise with solid business acumen to uncover hidden patterns, identify opportunities that are not readily visible through traditional analysis, and deliver actionable recommendations that drive measurable business outcomes. The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and design scalable decision-support solutions across the enterprise. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For 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.

Requirements

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

Nice To Haves

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

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