Data Scientist

Get AI-powered advice on this job and more exclusive features.

This position is open to all applicants in Colorado and New Mexico.

In order to be considered, please complete this Data Scientist Pre-Screening Questionnaire.

Anticipated Closing Date: 01/13/2026

Position: Data Scientist

Full Position Salary Range: $89,934.27/year - $/year

Starting Pay: Although our full pay range is included above, the budgeted hiring range for new hires is $89,934.27/year - $/year

Schedule: Full-Time;
Exempt;
Benefits-Eligible

Monday - Friday 9am - 5pm

About Us: Planned Parenthood is committed to creating a dynamic work environment that values diversity, equity, inclusion, respect, integrity, customer focus, and innovation. We are committed to creating a welcoming space for all people on our staff, in our health centers, and in our community. We do this by tending to the team, respecting and honoring all people, jumping in, trying and learning, caring for our business, and returning to our mission.

Learn More

Abortion Care: At PPRM, we all work in abortion care. This role supports abortion care through direct clinical triage, patient education, and follow-up, ensuring timely and empathetic support to those navigating abortion services.

Snapshot: You may work from home or office and will spend most of your time on the computer. You will spend a lot of time in detailed analysis and research as well as preparing data for presentation and communication with health care teams.

• Master’s degree in data science, Computer Science, Statistics, or a related field. Or a bachelor’s with equivalent skills or experience
• Ample experience in healthcare analytics, including working with CPT and diagnosis codes.
• Proficiency in working with Relative Value Units to assess provider productivity, optimize resource allocation, and evaluate financial performance.
• Advanced proficiency in SQL, Power BI, and relational databases.
• Strong knowledge of machine learning frameworks and programming languages.
• Experience with statistical modeling, predictive analytics, and financial forecasting.
• Familiarity with ETL processes, data warehouses, and data cleaning techniques.
• Strong understanding of healthcare regulation, including HIPAA and PHI management.
• Excellent communication and storytelling skills with data visualization tools.
• Experience writing and maintaining clear, structured documentation for data processes, models and workflows
• Ability to develop financial models that incorporate historical visit trends, payer mix, reimbursement rates, and operational costs to produce accurate revenue forecasts.
• Bonus: GIS expertise and experience with HL7/FHIR standards.

You will conduct analysis of PPRM business trends and lead the development of the organization’s architecture, strategy, and governance practices. You will design the tools, methods, and processes to guide health centers in annual budget processes and support the implementation of departmental and agency visions. You will create, execute, and monitor data audits to maintain integrity of data critical to health center operation, and you will provide expertise and technical guidance.

• Design analytical tools and frameworks to monitor business trends, financial, quality, and other performance indicators
• Identify methods to improve data collection, analysis, and reporting
• Write SQL code to support dynamic reporting and visualization efforts, including joining data tables and cleaning/harmonizing data fields
• Execute ad-hoc analysis to address specific business questions from internal and external stakeholder groups
• Build and maintain VP-, C‑Suite-, and Board-level reports and KPIs
• Ensure data collection and reporting processes are in compliance with various local, federal, and private funding requirements, both legal and medical

• Lead the adoption of information architecture that meets and evolves with the organization’s needs
• Implement data strategy, build data capacity, and optimize systems to improve patient health outcomes
• Acquire and standardize data from primary and secondary sources and maintain data…