Data Scientist

PatientPoint•Cincinnati, OH

3d•Hybrid

About The Position

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. 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. 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.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

Enhance PatientPoint’s durable provider growth strategy.
Model the value of providers in the market and 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.