Sr. Data Scientist, Pricing

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.

Location: Cincinnati, OH OR Remote

Travel: Up to 20 days per year 

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 spearhead algorithmic pricing across the business.  
• You’ll be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content.  
• To be successful, you’ll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning 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  

• 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.  
• Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field.
• 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  

• 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. 
• Experience with Snowflake, Cursor, Airflow, HEX, Gurobi. 

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 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.   

Base Salary Band: $143,374 - $210,544

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 P