Sr. Data Scientist, Pricing

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.

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.

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.