UnitedHealth Group

Director Data Science - Remote or Hybrid in MN or DC

UnitedHealth Group • $134K — $230K *
Eden Prairie, MN 55347Hybrid
Healthcare
11 - 15 years of experience
1 week ago
Job Overview by Ladders

Qualifications

  • 12+ years of experience in data science, machine learning, or advanced analytics with 8+ years in production ML models.
  • 8+ years of experience in Python-based data science ecosystems and advanced SQL for large-scale analytics.
  • 7+ years in senior data science or technical leadership roles influencing modeling approaches and setting standards.
  • 6+ years designing or supporting production ML systems and evaluating LLM or GenAI applications.
  • 6+ years working with healthcare data including claims and EHR datasets, familiar with healthcare coding systems.
  • 3+ years of experience operationalizing Generative AI or LLM-based systems.
  • 1+ years of experience with Agentic AI concepts and implementations.

Responsibilities

  • Define and drive enterprise data science strategy for applied machine learning and advanced analytics.
  • Lead the development of advanced ML and Generative AI solutions in production environments.
  • Establish modeling standards and best practices across data science teams.
  • Architect scalable ML and Generative AI systems to support production-grade requirements.
  • Ensure responsible AI deployment with practices for model interpretability and fairness evaluation.
  • Oversee experimentation and performance monitoring for AI systems, including drift detection and safety checks.
  • Provide mentorship and technical leadership for senior data scientists and complex AI challenges.

Benefits

  • Comprehensive benefits package including equity stock purchasing and 401k contribution.
  • Incentive and recognition programs based on performance.
  • Opportunities for development and career advancement in a supportive environment.
Full Job Description


Primary Responsibilities:

  • Define enterprise data science strategy: Own and drive the technical strategy for applied machine learning, Generative AI, Agentic AI, and advanced analytics across multiple domains and healthcare use cases
  • Lead development of advanced ML, GenAI, and agentic solutions: Provide hands-on technical direction for the design, development, and deployment of machine learning, deep learning, time-series, survival analysis, large language model (LLM), and agent-based AI systems in production environments
  • Establish modeling standards and best practices: Define and standardize modeling frameworks, feature engineering approaches, prompt and context engineering practices, evaluation methodologies, and validation standards across data science teams
  • Architect scalable ML and GenAI systems: Guide the design of production-grade ML and LLM systems including data pipelines, feature stores, retrieval-augmented generation (RAG), model serving infrastructure, agent orchestration frameworks, monitoring, and retraining workflows
  • Ensure responsible and reliable AI deployment: Implement consistent practices for model interpretability, explainability, bias assessment, fairness evaluation, guardrails, human oversight, and lifecycle management across deployed predictive, generative, and agentic AI systems
  • Oversee experimentation and performance monitoring: Define experimentation, benchmarking, and monitoring strategies including drift detection, recalibration, LLM evaluation, hallucination and safety checks, tool-use reliability, and performance management
  • Provide technical leadership and mentorship: Mentor principal and senior data scientists, review technical designs and modeling decisions, and provide guidance for complex analytical, GenAI, and agentic AI challenges
  • Influence cross-functional AI delivery: Partner with engineering, data, security, product, and platform teams to align data science solutions with enterprise platforms, infrastructure, reliability requirements, AI governance expectations, and executive priorities
  • Partner with payment integrity, clinical, claims, compliance, legal, product, and operations stakeholders to translate business problems such as overpayment detection, coding validation, policy adherence, aberrant billing patterns, and prepay/postpay review into scalable AI and analytics solutions


You9ll 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:

  • 12+ years of experience in data science, machine learning, or advanced analytics with 8+ years developing and deploying production ML models
  • 8+ years of experience using Python-based data science ecosystems (for example Pandas, NumPy, scikit-learn, PyTorch, or equivalent) and advanced SQL for large-scale analytics, experimentation, and data transformation
  • 7+ years of experience in senior data science or technical leadership roles influencing modeling approaches, reviewing analytical work across teams, setting standards for model development and validation, and translating complex technical tradeoffs for senior stakeholders
  • 6+ years of experience designing, deploying, or supporting production ML systems, including model serving, monitoring, retraining workflows, experimentation frameworks, ML lifecycle management, and evaluation of LLM or GenAI applications
  • 6+ years of experience working with healthcare data such as claims, EHR, pharmacy, or laboratory datasets, including familiarity with healthcare coding systems such as ICD, CPT, NDC, SNOMED, and LOINC, as well as data interoperability standards including FHIR or HL7
  • 3+ years of experience designing, building, or operationalizing Generative AI or LLM-based systems
  • 3+ years of experience applying data science, machine learning, advanced analytics, or AI techniques to healthcare program integrity, payment integrity, fraud, waste, and abuse, claims payment accuracy, improper payment reduction, coding validation, provider behavior analytics, or related healthcare financial integrity use cases
  • 1+ years of experience with Agentic AI concepts and implementations such as AI agents, agentic skills, model context protocols (MCPs), agent-to-agent (A2A) patterns, tool use, orchestration frameworks, or autonomous workflow execution
    *All employees working remotely will be required to adhere to UnitedHealth Group9s 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, you9ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 - $230,800 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.

About UnitedHealth Group

UnitedHealth Group is a medical facility. They offer health technology, health finance, and pharmacy services. They are utilizing clinical data and intelligence to assist in the redesign, automation, and deployment of technology to streamline administrative operations and clinical decision-making. Payment systems for both consumers and providers are critical components of a health-care system.

UnitedHealth Group Careers

Joining UnitedHealth Group means becoming part of a diverse team dedicated to making a difference. As a leader in health services and innovation, our company offers a variety of job opportunities that allow professionals to leverage their skills, drive innovation, and improve lives. Work You’ll Do At UnitedHealth Group, you’ll contribute to a mission-focused environment where your expertise will influence the health and well-being of people worldwide. Our employment opportunities span across a wide range of disciplines, from healthcare specialists to data analysts, ensuring that your career journey is both dynamic and rewarding. Transform Healthcare with Your Expertise UnitedHealth Group stands at the forefront of health innovation. Our team collaborates to deliver solutions that lead to better patient outcomes. Working with us, you’ll find yourself at the intersection of technology, healthcare, and leadership, providing key insights that drive industry transformation. Join Our Global Team As part of our team, you’ll engage with over 300,000 professionals globally, dedicated to building a diverse and inclusive workplace. UnitedHealth Group is not just a company; it’s a community where you can grow your career through continuous learning and leadership opportunities. Our commitment to diversity training ensures that every team member can thrive. UnitedHealth Group Career Development We are committed to your professional growth. Explore career paths filled with promising job opportunities and internships that will harness your potential and expand your capabilities. Whether you’re a seasoned professional or a recent graduate, you’ll find that our career development programs support your ambition at every level. Innovative Work Environment At UnitedHealth Group, innovation is at the core of our operations. We encourage our team to bring forward-thinking ideas that challenge the status quo and lead to breakthrough improvements in patient care. Be Part of a Great Team Our culture fosters a collaborative and supportive environment where every member’s contribution is valued. Enjoy the benefits of being part of a global team that’s committed to making a difference in people’s lives. Future-Proof Your Career With UnitedHealth Group, your career is future-proof. Dive into a range of positions that offer both challenges and rewards. Our robust support system includes unmatched training, development programs, and certification support to propel your career forward. Stay Connected Join Our Team Discover the right position that matches your skills and interests. We are always hiring and look for passionate, curious, and solution-driven team players. Search UnitedHealth Group jobs today and take the first step towards a fulfilling career. Keep Up to Date Stay informed with career tips, insider perspectives, and industry-leading insights you can use today—all from the people who work here. Read Careers Blog Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at UnitedHealth Group.
Learn more about UnitedHealth Group
Size
350,000 employees
Market Cap
$493.1 billion
Industry
Healthcare
Net Income
$15.4 billion
Founded
1974
5 Year Trend
+9.2%
Revenue
$257.1 billion
NASDAQ
UNH
* Ladders Estimates

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