Principal Data Scientist (Remote)

UnitedHealth Group; Salt Lake City (UT); Remoto; USD 113.000 - 193.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity stock purchase

401k contribution

Comprehensive benefits

Descrizione del lavoro

UnitedHealth Group is seeking a data science professional to build predictive credit models and support risk management for lending products. You will create features from diverse data sources and drive models from prototype to production with a strong focus on fairness and compliance.

You will partner with Risk, Product, Compliance and Finance teams to translate model outputs into actionable strategies, while monitoring performance in a dynamic, regulatory-aware environment.

Competenze

• Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, Economics, Computer Science, etc.)
• 5+ years experience with Python or R and SQL; familiarity with cloud environments like AWS, GCP, or Snowflake
• 5+ years of experience with lending lifecycle and credit risk KPIs (e.g., delinquency, charge-offs, ROI)
• 4+ years of experience in credit risk modeling, ideally for commercial line of credit products
• 4+ years of experience with traditional statistics techniques and modern machine learning

Mansioni

• Build predictive models for application & behavioral scoring, PD, LGD, and early risk detection for credit products
• Create advanced features using alternative data sources and enrich datasets
• Take models from prototype to production in collaboration with Data Engineering & Product teams
• Own model monitoring, validation, reporting and back testing and recalibrate for macro shifts
• Collaborate with Risk, Product, Compliance and Finance to integrate model outputs and communicate insights

Conoscenze

Python

R

SQL

Lending risk knowledge

Statistics & ML

Formazione

Master's degree in a quantitative field

Strumenti

AWS

GCP

Snowflake

Descrizione del lavoro

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.

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

Primary Responsibilities:

Build Credit Models:

• Develop and maintain predictive models for application and behavioral scoring, probability of default (PD), loss given default (LGD), and early risk detection, ideally for commercial line of credit products
• Design models for underwriting, fraud detection, credit line management, and collections strategies

Feature Engineering & Data Innovation:

• Create advanced features using alternative data sources (e.g., bank transaction data, health care claims data, cash flow, open banking, etc.)
• Evaluate new data vendors and enrich internal datasets to improve model performance

End-to-End Ownership:

• Take models from prototype to production in partnership with Data Engineering and Product teams
• Build interpretable and compliant models aligned with FCRA, ECOA, and fair lending standards

Performance Monitoring & Iteration:

• Own model monitoring, validation, reporting and back testing, regularly recalibrating for shifts in macroeconomic conditions or borrower behavior

Collaborate Cross-Functionally:

• Work with Risk, Product, Compliance and Finance teams to integrate model outputs into strategy
• Communicate insights clearly to technical and non-technical stakeholders

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:

• Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, Economics, Computer Science, etc.)
• 5+ years experience working with Python or R and SQL; familiarity with cloud environments like AWS, GCP, or Snowflake
• 5+ years of experience working with lending lifecycle and credit risk KPIs (e.g., delinquency, charge-offs, approval rates, ROI, CAC/payback)
• 4+ years of experience in credit risk modeling, ideally at a fintech, neobank, or consumer lending startup for commercial line of credit products
• 4+ years of experience with both traditional statistical techniques (e.g., logistic regression, scorecards) and modern machine learning

Preferred Qualifications:

• Experience with real-time underwriting or decisioning APIs
• Work in embedded finance, BNPL, gig economy lending, or small business credit
• Familiarity with explainability frameworks (e.g., SHAP, LIME)
• Exposure to model governance or regulatory reviews
• Comfort working in a dynamic, test-and-learn environment with incomplete data
• Proven solid communication skills and attention to model transparency, fairness, and compliance

*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.

At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

UnitedHealth Group and its affiliated brands are 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 and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.