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# Sr Data Scientist - Remote

- **Company:** Unitedhealth Group Inc
- **Location:** Minnetonka, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Dataspaces, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, Pattern Recognition, Recommender Systems, Tensorflow, SQL Databases, Enterprise Software Applications, Pytorch, Large Language Models, Deep Learning, Generative AI, Scikit Learn, Xgboost, Virtual Agents
- **Published:** August 28, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3367839851&tx=FP6158FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

## Description

* 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

You'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.


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