Senior Product Data Scientist - Remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Join our team at Optum Insight, where we are leveraging cutting-edge AI and machine learning technologies to revolutionize healthcare delivery, enhance customer engagement, and drive innovation across our digital platforms.

As a Senior Product Data Scientist, you will own zero to one through scale for data and AI enabled products. You will pair classic product leadership (vision, roadmap, PRDs, execution) with applied analytics-defining success metrics, leading instrumentation, running analyses/experiments, and turning insights into roadmap decisions. You'll partner closely with engineering, data science, design, and go to market teams to deliver measurable value for customers and the business.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Champion the strategic vision for AI adoption by aligning initiatives with organizational goals to unlock value, drive competitive advantage, and ensure responsible, transparent, and impactful outcomes. Lead the ethical transformation of business processes and culture through AI integration that enhances efficiency, innovation, and decision-making.
• Lead end to end product lifecycle: discovery, requirements, prototyping, delivery, and post launch optimization
• Translate customer problems and market signals into clear product strategies, roadmaps, and narratives
• Define and own KPI frameworks (e.g., adoption, engagement, accuracy/quality, latency, reliability, ROI) and establish data contracts and telemetry with engineering
• Build scalable analytics and reporting: specify event taxonomies, own dashboards, conduct deep dive analyses (SQL/BI), and communicate insights to executives
• Partner with data science to set evaluation plans, interpret model results (at a product level), guide labeling/evaluation needs, and translate findings into user facing improvements (no hardcore DS required)
• Run experiments (A/B, pilots, shadow tests); ensure clean baselines and statistically sound decisions Drive cross functional execution and launch readiness; manage trade offs and organize work for timely GA and iteration
• Ensure compliance/readiness with internal governance processes; maintain clear documentation and decision logs
• Contribute to product culture: crisp writing, clear decision making, customer obsession, and outcomes orientation

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 experience in data science or analysitcs discipline OR 3+ years of product management owning definition, delivery, and post launch optimization for analytics or AI enabled products
• Experience defining metrics and instrumentation, partnering with engineering on event schemas/telemetry, and making roadmap decisions from data
• Experience with experimentation methods (A/B tests, pilots) and interpreting results for product decisions
• Demonstrated analytical fluency: structured problem solving, comfort querying data (SQL) and using BI tools (e.g., Power BI, Looker, Tableau); ability to create self serve dashboards and weekly business reviews
• Proven solid product writing (PRDs, PR/FAQs, business cases) and stakeholder communication; proven cross functional leadership with engineering, DS, design, and operations

Preferred Qualifications:

• Experience with applied analytics in a regulated or complex domain (e.g., healthcare, fintech, insurance)
• Familiarity with ML productization and model evaluation at a product level (e.g., precision/recall trade offs, error analysis, data quality gates)
• Background with enterprise integrations, data interoperability, and event driven architectures
• Proven comfort with scripting (Python or R for ad hoc analysis/visualization) and feature telemetry best practices (latency SLOs, quality bars)

*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 $110,200 to $188,800 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.

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.