Senior Data Scientist - Remote

Job Description

Senior Data Scientist - Remote - Optum | Built In Companies Jobs Articles Can't find your company? Create a company profile. View All Jobs Join Log In For Employers Optum Jobs Senior Data Scientist - Remote Optum Senior Data Scientist - Remote Posted 6 Days Ago Hiring Remotely in Minnetonka, MN, USA In-Office or Remote 92K-164K Annually Senior level Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics The Role Develop and optimize advanced analytics, machine learning models, prioritization logic, scoring methodologies, and production analytical solutions for healthcare provider engagement and quality outcomes. Own the full lifecycle from problem definition through monitoring, collaborate with data and business stakeholders, translate findings into recommendations, and improve the Key Measures Model using new data, methodologies, and AI/ML technologies. Summary Generated by Built In Requisition Number: 2371497 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 invite you to bring your performance, ideas, and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who can drive change, take appropriate risks, and influence stakeholders at all levels of the organization. As a Senior Data Scientist within Star Ratings Analytics (UHC Medicare & Retirement), you will help maintain and reimagine the foundational metrics and analytics behind the Key Measures Model (KMM) and related products. This includes making them more actionable, transparent, accurate, and flexible, while incorporating new methodologies, partnerships, and technologies. This role focuses on advanced analytics and data science, enabling end-to-end ownership of analytical solutions that power provider and member engagement at scale. As a subject matter expert, you will recommend innovative approaches that help transform healthcare delivery and quality outcomes. Join us -- there's never been a better time to do your life's best work. We are seeking a Senior Data Scientist to support the Key Measures Model (KMM) engine and its downstream products (e.g., KMOR). This role focuses on advanced analytics and analytical solution development to drive provider engagement and quality performance. 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. Primary Responsibilities: KMM Capability Development Design and implement prioritization logic, measure enhancements, and next best action (NBA) improvements Translate analytical models and business logic into scalable production solutions Advanced Analytics & Modeling Develop, validate, and optimize analytical frameworks and scoring methodologies Conduct exploratory analysis, feature development, and model performance evaluation Apply innovative analytical techniques to improve provider engagement and quality outcomes End-to-End Delivery Own full development lifecycle: problem definition - analysis - model development - validation - implementation support - monitoring Cross-Functional Collaboration Partner with data, analytics, BI and business stakeholders to deliver scalable, high-impact solutions Translate complex analytical findings into actionable business recommendations Align solutions with enterprise data strategy and downstream use cases Innovation & Continuous Improvement Drive continuous improvement of KMM products and analytics capabilities Identify opportunities to enhance methodologies, prioritization approaches, and performance measurement Integrate new data sources, analytical techniques, and emerging technologies Promote analytical best practices, standardization, and knowledge sharing 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 professional experience developing analytical solutions using techniques such as machine learning, text mining/analysis, simulations, hypothesis testing, etc. 3+ years of professional experience with SQL, Python, PySpark and large-scale cloud-based data platforms (e.g., Snowflake, Databricks) 1+ years of experience leveraging AI/ML tools and technologies to drive workflow automation, accelerate development, and enhance analytical capabilit