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Sr. Data Scientist, Pricing

Job Overview

Location

Remote, US

Job Type

Full-time

Category

Data Science

Date Posted

March 24, 2026

Full Job Description

đź“‹ Description

  • • As a Senior Data Scientist focused on Pricing at PatientPoint, you will play a pivotal role in shaping data-driven pricing strategies that directly impact patient engagement and healthcare outcomes by leveraging advanced analytics to optimize ad tech and campaign performance across a national network of 30,000+ physician offices.
  • • You will lead the development and deployment of algorithmic pricing models, working cross-functionally with product, engineering, and pricing teams to transform raw data into actionable insights that enable smarter, automated decision-making and improve the effectiveness of point-of-care content delivery.
  • • Day to day, you will design, build, and productionize machine learning models for price elasticity estimation and optimization under constraints, ensuring models are robust, scalable, and continuously monitored for performance drift in real-world healthcare advertising environments.
  • • You will collaborate with stakeholders to translate complex business problems into data science solutions, conducting exploratory analysis, feature engineering, and validation studies to support pricing strategies that balance revenue goals with client and patient value.
  • • You will mentor junior data scientists, fostering a culture of technical excellence and knowledge sharing by guiding them through model lifecycle management, best practices in MLops, and effective communication of analytical findings.
  • • You will work with modern data tools including Snowflake, Airflow, Python, and SQL to orchestrate end-to-end pipelines — from data ingestion and transformation to model deployment and visualization — ensuring seamless integration with PatientPoint’s ad tech stack.
  • • You will contribute to the innovation of PatientPoint’s digital health platform by applying advanced techniques such as network analysis and predictive modeling to uncover patterns in provider and patient behavior that inform pricing and campaign optimization.
  • • You will present findings to technical and non-technical audiences through compelling data storytelling, turning complex model outputs into clear narratives that drive strategic decisions across marketing, sales, and product teams.
  • • You will operate in a purpose-driven environment where your work directly supports PatientPoint’s mission to improve health outcomes by delivering behavior-changing content at critical moments of care, reaching millions of patients nationwide.
  • • You will join a recognized industry leader — named a Best Place to Work and featured on Vault’s Top Internship List — that values innovation, collaboration, and continuous learning in a flexible, remote-friendly setting with opportunities for meaningful impact.

🎯 Requirements

  • • 6+ years of hands-on data science experience developing and deploying data products to production, with proven ability to deliver analyses that inform business decisions for internal and external stakeholders.
  • • Bachelor’s degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems, or a closely related quantitative field.
  • • Fluency in Python and SQL, with demonstrated end-to-end experience in data manipulation, analysis, visualization, model deployment, and pipeline orchestration using modern tools.
  • • Advanced expertise in machine learning methods including predictive modeling, model validation and selection, price elasticity estimation, optimization under constraints, and network analysis.
  • • Proven experience managing the full model lifecycle — from development and testing to deployment, monitoring, and performance maintenance in production environments.
  • • Strong communication and collaboration skills, with ability to work effectively across functions including engineering, product, and pricing teams to drive alignment and execution.

🏖️ Benefits

  • • Competitive base salary range of $143,374 - $210,544, reflecting market-aligned compensation for senior expertise and impact.
  • • Comprehensive benefits package including 401(k) plan, mental and emotional wellness resources, and flexible time off to support work-life balance and recharge.
  • • Hybrid work options and remote eligibility, enabling flexibility in how and where you work while maintaining strong team collaboration.
  • • Opportunity to work on mission-driven projects that improve patient health outcomes at scale through innovative digital health solutions in 30,000+ physician offices.
  • • Access to cutting-edge tools and technologies such as Snowflake, Airflow, Cursor, HEX, and Gurobi, supporting advanced analytics and model development.
  • • Professional growth through mentorship opportunities and exposure to cross-functional challenges in healthcare, pharmaceutical, and digital advertising domains.

Skills & Technologies

Python
R
Data Science
Senior
Remote
$143k-210k
Degree Required

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PatientPoint
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About PatientPoint

PatientPoint is a leading health information and technology company dedicated to improving the patient experience and outcomes. They provide a comprehensive suite of solutions designed to engage patients, support providers, and drive better health decisions at the point of care. Their offerings include digital waiting room solutions, in-office educational materials, and data analytics that help healthcare organizations understand and connect with their patient populations. PatientPoint's platform aims to transform the waiting room and exam room into a more informative and engaging environment, empowering patients with the knowledge they need to actively participate in their own health journey and enabling providers to deliver more effective, personalized care.

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