Senior Data Scientist

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.

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 Senior Data Scientist, you will work on these problems 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 advance algorithmic pricing across the business.
• To maximize impact, you’ll iteratively design a system that establishes foundational signals of supply, demand, willingness-to-pay, and expected ROI and dynamically adjusts towards optimal prices under changing conditions.
• You’ll build interpretability into the system, so that quoted prices are explainable; price changes have clear drivers, and pricing exception decisions are consistently actioned.
• To be successful, you’ll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning, statistical modeling, and optimization methods to consistently deliver impactful results for clients.
• As an experienced subject matter expert in this space, you’ll also mentor and coach less experienced data science team members as they continue to develop their skills.

What We Need

• A Bachelor’s degree in Applied Statistics, Computer Science, Economics, Operations Research, Business Analytics, Information Systems, or a related field.
• 6+ 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.
• Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc.
• Experience promoting models through the lifecycle and monitoring model performance.
• Strong communication skills and a collaborative attitude for working with stakeholders.

Desired Qualifications

• A Master’s or doctoral degree in Applied Statistics, Computer Science, Economics, Operations Research, Business Analytics, Information Systems, or a related field.
• Professional experience in healthcare, pharmaceutical, value-based pricing, B2B pricing, and digital advertising industries.
• Experience with Snowflake, Cursor, Airflow, HEX, Gurobi.

What You’ll Need to Succeed

• A 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 solve 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 pricing.
• Consistent ability to deliver results aligned to expected timelines.
• Enthusiasm for responding to a dynamic range of questions and analytical challenges.