[Hiring] Senior Data Scientist @PatientPoint

Role Description

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

The Data Science team at PatientPoint works on business problems across the enterprise, such as:

• Provider growth
• Pricing
• Operations
• Marketing
• Campaign measurement
• 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
• Provide digestible information for human-in-the-loop decisions

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
• Dynamically adjust towards optimal prices under changing conditions
• Build interpretability into the system, ensuring quoted prices are explainable
• Ensure 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
• Leverage machine learning, statistical modeling, and optimization methods to consistently deliver impactful results for clients
• Mentor and coach less experienced data science team members

Qualifications

• 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
• 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

Requirements

• Masters 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

Benefits

• Competitive compensation
• Flexible time off to recharge
• Hybrid work options
• Mental and emotional wellness resources
• 401K plan
• Comprehensive range of modernized benefits and cultural perks