[Hiring] Data Scientist @PatientPoint - Invite Only

Role Description

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati OR Remote

Travel Required: 2-3 times yearly

The Data Science team at PatientPoint works on business problems across the enterprise, such as:

• Provider growth
• Pricing
• Operations
• Marketing
• Campaign measurement
• Customer attrition

As a Data Scientist, you’ll impact the organization by:

• Creating data products that synthesize available data into useful predictions
• Enabling manual processes to be automated
• Providing digestible information for human-in-the-loop decisions

What You’ll Do:

• Work with a cross-functional team to enhance PatientPoint’s durable provider growth strategy
• Be a core member of the team responsible for modeling the value of providers in the market
• Create data pipelines that prioritize recruitment
• Develop a deep understanding of the goals and constraints of the provider growth team
• Leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals
• Work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs)
• Proactively share insights with your cross-functional collaborators and data science team

Qualifications

• Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field
• 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders
• Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration
• Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing
• Experience taking models from development to production, monitoring performance, and iteratively improving over time
• Strong communication skills and a collaborative attitude for working with stakeholders

Requirements

• Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field
• Professional experience in healthcare, pharmaceutical, and digital advertising industries
• Strong grasp of MLOps practices and software engineering principles
• Experience with Snowflake, Airflow, HEX, Cursor, Claude Code

What You'll Need to Succeed

• Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them
• Highly self-motivated and self-directed
• Critical thinking with the ability to identify and scope and solve ambiguous problems in a fast-paced environment
• The ability to empower others through data storytelling - translating complex data findings into compelling narratives
• Strong interpersonal, communication, and consulting skills
• Ability to establish and maintain successful cross-functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders
• Enthusiasm for responding to a dynamic range of questions and analytical challenges

Benefits

• Competitive compensation
• Flexible time off to recharge
• Hybrid work options
• Mental and emotional wellness resources
• 401K plan
• Comprehensive range of modernized benefits and cultural perks