Senior Data Scientist, Full Stack - Remote

Taleo; Minnetonka (MN); Remote; USD 92,000 - 164,000; Full time

Job summary

UnitedHealth Group is seeking a Senior Data Scientist, Full Stack, to build and deploy AI-driven data products remotely across the U.S. The role emphasizes end-to-end ML pipelines, model development, and production governance with Databricks, Snowflake, and MLflow.

The ideal candidate has 5+ years in data science or related fields, strong Python and PySpark skills, and experience with MLOps. In Minneapolis or DC-area offices, in-person work four days weekly may be required.

Qualifications

• 5+ years of experience in data science, ML, data engineering, or related roles with solid modeling foundations.
• Proficiency in Python and PySpark for building ML models and automating tasks; strong SQL skills for data extraction.
• Experience deploying ML models and data pipelines in production; familiarity with end-to-end MLOps lifecycle.
• Ability to solve complex problems independently; seek automation and efficiency in workflows.

Responsibilities

• Build and support data platforms and AI-ready data products for performance insights.
• Develop scalable data pipelines, semantic models, and metrics using Databricks and Snowflake.
• Integrate data across operations to enable near real-time dashboards and governance.
• Establish data quality controls and lineage for enterprise reporting.
• Deliver real-time/multi-tenant metrics to drive coaching and performance optimization.
• Collaborate to reduce duplicate development and improve reporting efforts.

Skills

Data Science

Python

PySpark

SQL

MLOps

Tools

Databricks

Snowflake

MLflow

Spark

CI/CD

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Senior Data Scientist, Full Stack - Remote (2381436)

Senior Data Scientist, Full Stack - Remote - 2381436

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.

Role Summary: A Senior Data Scientist (Grade 28) with a "Full Stack" skillset for EAR projects. This role is a primary hands-on contributor for building and deploying robust data pipelines, semantic layers, machine learning models, and LLM applications. It emphasizes practical engineering of AI solutions: rigorous model development, evaluation of modeling approaches, and implementing MLOps pipelines to ensure models are effectively integrated and maintained in production.

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:

• Build and support the Advocate Performance Data Platform that powers AmplifAI coaching, performance management, and workforce optimization capabilities
• Develop scalable data pipelines, semantic models, and governed advocate performance metrics using Databricks, Snowflake, and enterprise data architecture
• Integrate operational, quality, coaching, and learning data to create trusted, AI-ready data products and performance insights
• Establish certified metric definitions, lineage, governance, and data quality controls to ensure consistent reporting and enterprise adoption
• Enable near real-time delivery of advocate, supervisor, and coaching metrics that drive personalized coaching, commitment management, and performance improvement
• Accelerate Consumer Operations transformation by providing a scalable, enterprise-ready foundation for AI-driven coaching, analytics, and workforce performance optimization while reducing duplicate development and reporting efforts

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:

• Solid Data Science Background: 5+ years of experience in data science, machine learning, data engineering, or related roles. Solid foundation in statistical modeling and machine learning techniques. Hands-on experience developing models and data pipelines for real-world problems and improving them based on feedback and data
• Programming & Data Skills: Proficiency in Python and PySpark for building ML models and automating tasks. Solid SQL skills for data extraction and manipulation
• Production ML Experience: Demonstrated experience deploying and maintaining ML models and data pipelines in a production environment. Comfort with the end-to-end MLOps lifecycle: using source control, CI/CD pipelines, and orchestration to automate model deployment. Should understand concepts like model versioning, reproducibility, and monitoring in production
• Problem-Solving & Autonomy: Ability to work independently on complex technical problems. Solid troubleshooting skills to debug issues whether they stem from data quality, model behavior, or pipeline failures. A mindset geared towards automation and efficiency, always looking for ways to streamline repetitive tasks

Preferred Qualifications:

• MLOps Tooling: Experience with specific MLOps and cloud tools (e.g., Databricks MLflow for experiment tracking and model registry, GitHub Actions for CI). Familiarity with infrastructure-as-code for deploying ML infrastructure
• Databricks & Spark: Familiarity with the Databricks Lakehouse platform and Spark. For example, knowing how to implement ML pipelines on Databricks, use Delta Lake for data versioning, and optimize Spark jobs for feature processing. Experience with Metric Views
• Real-Time Systems: Exposure to real-time or streaming data analysis. Experience deploying models that consume streaming data (e.g., streaming analytics or real-time dashboards) or working with technologies like Kafka or Spark Declarative Pipelines for live data feeds
• Leadership & Collaboration: Experience in mentoring junior data scientists or leading technical workstreams will be beneficial. The ability to document work clearly and impart knowledge to others helps the overall team

*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.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.