As a Principal Data Scientist, you will lead the design and execution of advanced analytics, predictive modeling, and machine learning solutions to solve complex challenges. You will collaborate closely with product leaders, business partners, and engineering teams to transform vast datasets into actionable intelligence. This role offers the opportunity to drive innovative data strategies and establish best practices that shape the future of healthcare data science.
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:- Lead the design, development, and deployment of end-to-end data science and machine learning models to solve strategic business problems
- Partner with business stakeholders and technical leadership to translate business priorities into data science roadmaps and quantitative solutions
- Extract, clean, and analyze complex multi-dimensional healthcare datasets to deliver actionable insights and predictive capabilities
- Establish technical standards, best practices, and repeatable frameworks for statistical modeling, machine learning, and data analytics
- Evaluate emerging technologies, algorithms, and methodologies to continuously enhance solution efficiency and performance
- Provide technical mentorship and guidance to data science team members, fostering a culture of technical excellence and continuous learning
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:- 8+ years of professional experience developing data science, machine learning, and advanced statistical models
- 5+ years of experience programming in Python, R, or Scala for analytical solution development
- 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
- 3+ years of experience deploying machine learning models into production environments (MLOps)
- Demonstrated experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders
Preferred Qualifications:- Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
- Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks)
- Deep learning framework experience (e.g., TensorFlow, PyTorch)
*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 $112,700 - $193,200 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.
