Sr Data Scientist - Remote

UnitedHealth Group•Phoenix, AZ

8h•$91,700 - $163,700•Remote

About The Position

The Sr Data Scientist serves as an analytical expert and provides analytic leadership for Government Program operational reporting and analytics, planning, and process improvements. The role partners with business leaders and cross-functional teams to develop innovative analytic solutions, deliver actionable insights, and improve decision-making and performance in support of Government Operations. The position requires experience in AI, machine learning, and predictive analytics to lead data-driven initiatives intended to improve patient care, operational efficiency, and strategic decision-making. The role owns the analytical lifecycle, from data extraction and transformation through AI model development and delivery of insights. The position is remote within the U.S. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy, maintain a dedicated work area that protects information privacy, and have access to UnitedHealth Group-approved high-speed internet or existing high-speed internet service. The role provides guidance and training to junior developer team members, collaborates across business units and functions, and communicates findings to non-technical stakeholders and senior leaders. The salary range is $91,700–$163,700 annually for full-time employment, with pay varying according to factors such as location, education, work experience, and certifications.

Requirements

5 or more years of experience utilizing SQL and/or relational database tools.
5 or more years of experience in reporting and analysis, data management, and reconciliation.
5 or more years of experience using Excel as a reporting and analysis tool.
5 or more years of experience using Snowflake, Azure, and Power BI.
5 or more years of experience working with government programs, including Medicaid/Medicare claims and financial data.
3 or more years of experience with medical, dental, and vision claims adjudication.
3 or more years of work experience in a corporate setting, preferably a healthcare-based corporation or managed care organization.
Experience communicating complex findings to non-technical stakeholders and senior leaders.
Knowledge of the Encounter Claim framework and vendor data.
Knowledge of AI/ML frameworks and predictive modeling.
Demonstrated analytical problem-solving ability, including examples of successful business solutions derived from analysis and deep learning.
Ability to keep sensitive company documents secure, if applicable.
Ability to maintain a dedicated work area separated from other living areas that provides information privacy.
Live in a location that can receive a UnitedHealth Group-approved high-speed internet connection or have existing high-speed internet service.
Strong written communication skills to produce concise, accurate stakeholder-ready responses, leadership summaries, and documentation.
Ability to manage competing priorities, analyze root causes, resolve ambiguity, and complete work with minimal supervision in a virtual environment.
Collaboration skills and experience partnering across operations, affordability, compliance, legal, clinical, technology, coding, and business teams.

Nice To Haves

Experience with healthcare claims, financial, and care management data.
Experience tracking, trending, and reporting on metrics with visualization.
AI modernization experience.
Basic proficiency in CICD processes, Visual Studios, and Power BI.
Analysis experience in managed care, health insurance, government programs, and/or finance.

Responsibilities

Serve as the technical and data analysis go-to for Government Operations leadership and operational staff.
Develop a deep understanding of operations, create metrics, and report on critical outcomes.
Develop analytic solutions and actionable insights that support business objectives and improve decisions and performance.
Support operational analytics and identify and execute opportunities to improve efficiency and performance.
Develop queries and models to evaluate results and formulate solutions for process and performance improvement.
Create analytic solutions to measure business performance, identify and quantify drivers, risks, and opportunities, and define ways to mitigate risks and leverage opportunities.
Influence senior leadership to adopt new ideas, projects, and approaches.
Own the analytical lifecycle, from data extraction and transformation to AI model development and delivery of insights.
Guide and train junior developer team members to support their technical and professional growth.
Collaborate across functional teams and business units to drive analysis and lasting operational change.