Sr Data Scientist - Remote
About The Position
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 start Caring. Connecting. Growing together. 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
