Work with a cross-functional team to spearhead algorithmic pricing across the business.
Be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content.
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.
Mentor and coach less experienced data science team members as they continue to develop their skills.

Requirements

6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.
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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data sciencemachine learningpredictive modelingmodel validationmodel selectionnetwork analysisprice elasticity estimationoptimizationPythonSQL

communication skillscollaborative attitudementoringcoaching