Principal Data Scientist - Remote
About The Position
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 with product leaders, business partners, and engineering teams to transform large datasets into actionable intelligence, drive innovative data strategies, and establish best practices that shape healthcare data science. The position is remote within the U.S.; hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy. The role offers development opportunities and performance-based recognition. Salary is $112,700–$193,200 annually, based on full-time employment and factors including location, education, experience, and certifications. Benefits are subject to eligibility requirements.
Requirements
- At least 8 years of professional experience developing data science, machine learning, and advanced statistical models.
- At least 5 years of experience programming in Python, R, or Scala for analytical solution development.
- At least 4 years of experience writing complex SQL queries and extracting data from relational or enterprise databases.
- At least 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.
Nice To Haves
- Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
- Experience working with healthcare datasets, such as medical claims, electronic health records, or clinical data.
- Experience with cloud platforms such as AWS, Azure, or GCP and enterprise big data frameworks such as Spark or Databricks.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
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 multidimensional 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 enhance solution efficiency and performance.
- Provide technical mentorship and guidance to data science team members, fostering technical excellence and continuous learning.
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
