Location: Cincinnati

Travel Required: 2-3 times yearly 

Job Summary 

The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Data Scientist, you’ll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. 

What You’ll Do  

• In this role, you’ll work with a cross-functional team to enhance PatientPoint’s durable provider growth strategy.  
• You’ll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.  
• To be successful, you’ll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.  
• To stay organized, you’ll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs). 
• To maximize impact, you’ll proactively share insights with your cross-functional collaborators and data science team.   

What We Need  

• 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. 
  • Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights.  
• 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. 

Desired Qualifications  

• 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. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.  
• 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.   

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