Principal Data Scientist - Remote

Manager-Level Principal Data Scientist

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 equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.

We are seeking an experienced and dynamic Manager-Level Principal Data Scientist to support our ongoing engineering and data science efforts. This position is remote (subject to your home state) and will be a key player in identifying high-impact AI/ML opportunities with an actuarial reserving focus. The ideal candidate is a hands-on technical leader with a proven track record in developing sophisticated models, setting up production-ready ML pipelines, and collaborating with cross-functional teams in the healthcare domain.

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

Primary Responsibilities:

• Independently support a diverse group of stakeholders in scoping out AI/ML opportunities and develop ML models to improve accuracy of actuarial reserves
• Partners with other data scientists to develop AI/ML models for actuarial use cases, using a variety of data sources, including but not limited to medical/Rx claims, inpatient notification data, prior authorization data, and dental/vision data
• Partners with Ireland data engineers to ensure appropriate infrastructure and APIs are in place to support AI/ML models development
• Leads the development and production of AI/ML models across all UHC lines of business using cloud technology such as databricks and Snowflake
• Supports the development of add-on capabilities for AI/ML use cases, such as model monitoring dashboards and automated jobs in databricks
• Collaborates with IT partners on hardware (on-prem and cloud), software, and other infrastructure needed to enable AI and ML strategy and ensure compliance to UHC standards
• Stay connected and involved with UHC's broader engineering and AI/ML strategy

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:

• 5+ years of experience in a consulting role and/or demonstrate high proficiency in being a self-learner
• 5+ years of healthcare industry experience in a data science or advanced analytics role
• 5+ years of experience working in high-level statistical programming language (e.g. Python, R)
• Experience with Git version control system (e.g. Github) and knowledge of DevOps and agile development practices
• Experience working with data from a variety of sources (e.g. databases, JSON, text-based, and unstructured data)
• Experience designing and implementing ETL and ML engineering pipelines in cloud technology (e.g. databricks, Snowflake)
• Experience in applying data science concepts (predictive analytics, machine learning, unsupervised learning) to solve practice business problems
• Ability to operate in a fast-paced environment
• Demonstrated proficiency in SQL; experience writing well-structured and efficient queries
• Demonstrated proficiency in IDEs such as Visual Studio

Preferred Qualifications:

• Credentials in data science (SOA's predictive analytics certificate)
• 2+ years of Pyspark experience
• Experience working with traditional actuarial-based forecasting and reserving models and methods
• Proven excellent storytelling skill set and mastery of communicating complex technical information to a non-technical audience
• Experience with creating databricks jobs and model monitoring dashboards

*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.