Data Scientist

RxSense is a leading healthcare technology company delivering innovative solutions for pharmacy benefits and prescription savings. Our enterprise platform brings transparency, flexibility, and efficiency to pharmacy benefit management, helping clients streamline operations and enabling consumers to save on prescriptions. By integrating intelligence across the pharmacy ecosystem, RxSense makes cost-effective healthcare more accessible. Whether for PBMs, pharmacies, or individuals, our solutions help modernize operations, reduce costs, and improve outcomes. 

RxSense also owns and operates SingleCare, a free prescription savings service that offers consumers access to consistently low prices on prescription drugs. Through its partnerships with the country’s largest pharmacies and grocers, including CVS, Walgreens, Walmart, Kroger and Albertsons, SingleCare improves access and adherence to affordable medications and has helped millions of Americans save over $11 billion on their medications. 

RxSense is a great place to work! Our company has earned several prestigious awards, including Fast Company’s Most Innovative Companies, Forbes’ Top Startup Employers, Modern Healthcare's Best Places to Work in Healthcare, and Inc’s Best in Business and Best Workplaces.

Position Summary:

The data science team works closely with the company’s finance, pricing and analytics teams to develop algorithms that create competitive advantage for the company. The Data Scientist designs and implements the algorithms needed to optimize pricing and marketing spend allocation for our direct-to-consumer business. Working within the confines of our retail pharmacy
contracts, the Data Scientist works to maximize prescription savings for our customers and margins for the company. The Data Scientist may also support pharmacy benefit design creation, evaluation for overall effectiveness, both financially and clinically.

Essential Duties and Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Partner with Analytics Engineering to source needed data and ensure data is transformed and quality controlled in a format suitable to enable the required analysis.
• Use SQL, Python and Open-source machine learning packages to create predictive models for audience segmentation, marketing response rates, demand forecasting, reversal rates, price elasticity estimation, and lifetime value estimation.
• Designs product and pricing experiments as well as frameworks to measure their impact; may include measurement of prescription demand, activation rates, pricing sensitivity and reversal rates.
• Designs and implements optimization algorithms to set specific drug pricing to maximize net script volume, activations and margin while meeting aggregate level contractual constraints and strategic competitive positioning requirements.
• Coordinate with marketing, finance, engineering and product teams to implement models and monitor outcomes.
• Develop processes and tools to implement A/B testing and monitor and analyze model performance and data accuracy.
• Create dashboards to monitor and visualize performance of the algorithms and identify issues that require attention.

Qualifications: 

• Master's degree or equivalent; or four to ten years related experience and/or training; or equivalent combination of education and experience.
• 1-3 years of experience building statistical/machine learning models and conducting in-depth analyses
• A solid grasp on both theory and application of statistical modeling and an understanding of how to balance academic research with practical implementation
• Advanced Python skills
• Strong database knowledge and solid experience in SQL
• Experience solving constrained optimization problems using commercial and/or open-source software packages
• Experience with Tableau or other visualization tools

Salary Range: $85,000 - $127,000

RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.  Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status.  We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.