Location: Cincinnati OR Remote

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. 

Base Salary Band: $101,542 - $175,732

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.