Data Scientist

Transformcap; Colorado; Hybrid; USD 89,000 - 121,000; Full time

Job summary

Judi Health in New York, NY is seeking a Data Scientist to analyze complex data using statistical methods and apply machine learning to pharmacy benefit management. You will translate analyses into clear, actionable recommendations for both technical and non-technical stakeholders.

You will own predictive modeling, experimentation, ML analytics, and AI-enabled analytics that improve operational efficiency, product performance, and healthcare outcomes, while collaborating with Product,

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience
• 4+ years of experience with Python or R
• 4+ years of experience with complex SQL
• 3+ years of experience with the pharmacy benefit management domain
• Experience 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%

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.

Skills

Python/R programming

SQL

Data wrangling

Exploratory data analysis

Statistical modeling

Data visualization

Stakeholder storytelling

Time management

Team collaboration

Travel readiness

Education

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

Tools

JSON data-exchange format tools

ETL/ELT

Snowflake

Databricks

Redshift

Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

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

Position Summary

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.

Position 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.

Minimum Qualifications

• 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%

Preferred Qualifications

• 3+ years working with pharmacy benefit management prior authorization data
• 2+ years working with JSON or other data‑exchange format tools preferred
• 3+ years experience presenting analysis to clients and/or executive management preferred
• 2+ years of experience with ETL or ELT preferred
• Experience with cloud analytics platforms such as Snowflake, Databricks, Redshift, or similar technologies preferred
• Experience developing production-ready predictive analytics, AI, or machine learning solutions preferred

New York, NY Salary Range

$96,800 — $121,000 USD

Denver, CO Salary Range

$88,800 — $111,000 USD

Charlotte, NC Salary Range

$80,800 — $101,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non‑compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

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.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.