You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. MN preferred
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.
Primary Responsibilities:- Analyze structured and unstructured datasets to identify trends, opportunities, and business insights
- Develop and deploy predictive, classification, clustering, and optimization models
- Apply machine learning, statistical analysis, and AI techniques to solve business problems
- Identify hidden patterns and relationships within complex datasets
- Support experimentation, hypothesis testing, and model validation activities
- Partner with business, operations, and technology teams to define analytical requirements and solutions
- Translate business challenges into data science use cases and analytical frameworks
- Generate insights and recommendations that improve operational performance and business outcomes
- Develop reusable analytical assets, models, and reporting frameworks
- Utilize AI/ML techniques including predictive analytics, anomaly detection, recommendation systems, NLP, and generative AI where appropriate
- Monitor and evaluate model performance and recommend enhancements
- Present analytical findings and business insights to stakeholders
- Contribute to data science best practices and continuous improvement initiatives
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.
Required Qualifications:- 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics
- Experience working with large-scale datasets
- Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or equivalent
- Knowledge of data visualization and analytical storytelling
- Proficiency in Python, SQL, R, or similar analytical languages
- Proven solid foundation in statistics, predictive modeling, and machine learning
- Proven solid problem-solving and communication skills
Preferred Qualifications:- Experience with Generative AI, Large Language Models (LLMs), Agentic AI, or related technologies
- Experience building predictive or decision intelligence solutions
- Experience with anomaly detection, recommendation engines, or intelligent automation solutions
- Experience working in large enterprise environments
- Familiarity with cloud-based analytics platforms
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay 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.
Application 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.
