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About the Role

The Data Scientist will analyze complex data using statistical analysis, programming, and data science techniques to uncover insights that support pharmacy benefit management business decisions and identify opportunities where machine learning can be leveraged to best effect for the company. This role requires experience with advanced data retrieval knowledge, exploratory data analysis, and data visualization to translate data into clear, actionable recommendations for technical and non-technical stakeholders. Owns predictive modeling, experimentation, machine learning analytics, and AI-enabled analytics that improve operational efficiency, product performance, and healthcare outcomes.

Responsibilities

• Lead advanced analytics and machine learning supporting initiatives that drive business and product decisions.
• Translate complex analyses into clear recommendations for technical, executive, and non-technical stakeholders.
• Partner with Product, Engineering, Data Engineering, Clinical Operations, Analytics, and business teams to define analytical requirements and success metrics.
• Design experiments, conduct hypothesis testing, and perform deep-dive analyses to quantify business impact.
• Build dashboards, visualizations, and reporting that monitor outcomes, data quality, workflow efficiency, and client impact.
• Develop predictive models and time-savings analyses for prior authorization and operational workflows.
• Evaluate and responsibly apply AI and machine learning solutions for prior authorization and healthcare operations.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience
• 4+ years of experience with programming languages, like Python or R
• 4+ years of experience with complex SQL
• 3+ years of experience with the pharmacy benefit management domain
• Experience working with structured, unstructured, or semi-structured data and conducting exploratory analysis, feature engineering, and data quality validation
• Experience with data wrangling techniques to cleanse data for data science applications
• Experience building statistical models and hands-on experience evaluating, validating, and monitoring machine learning models
• Experience designing software including: development life cycle, testing, and version control
• Proficient in Microsoft Excel, data visualization, dashboarding, and stakeholder-facing analytical storytelling
• Extremely organized, detail-oriented, and able to easily pivot priorities
• Ability to work effectively with virtual teams
• Ability to travel 5-10%

Skills

• Python
• R
• SQL
• Data wrangling
• Statistical modeling
• Machine learning
• Data visualization
• Dashboarding
• Analytical storytelling
• Microsoft Excel
• JSON

Location

• Hybrid (Local to NYC, Denver CO, or Charlotte, NC area)

Work Type

• Hybrid

Experience Level

• 4+ years of experience with programming languages
• 4+ years of experience with complex SQL
• 3+ years of experience with the pharmacy benefit management domain
• 3+ years working with pharmacy benefit management prior authorization data
• 2+ years working with JSON or other data-exchange format tools
• 3+ years experience presenting analysis to clients and/or executive management
• 2+ years of experience with ETL or ELT
• Experience developing production-ready predictive analytics, AI, or machine learning solutions

Education Level

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience

Salary/Compensations

• $96,800—$121,000 USD (New York, NY)
• $88,800—$111,000 USD (Denver, CO)
• $80,800—$101,000 USD (Charlotte, NC)

About the Company

• Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including Judi Rx (PBM solutions), Judi Health™ (health benefit management solutions), and Judi® (proprietary Enterprise Health Platform). Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.

Equal Opportunity

• We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.