Senior Data Scientist

Company:

RxSense is a privately held health technology company whose mission is to make prescription drugs more affordable for everyone. We build technology platforms and data solutions that enable our customers to manage pharmacy benefits on behalf of their members, employees or clients (e.g. health plans, employers, health systems, etc.).
RxSense also provides prescription benefit solutions directly to millions of people through its consumer brand, SingleCare. We have saved our customers over $4B on prescription medications since 2015. We are working together to solve big problems and create value in an industry that is personal for everyone - healthcare.

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 Senior Data Scientist designs and implements machine learning algorithms needed to optimize pricing for both our direct-to-consumer business and EPS business. Working within the confines of our retail pharmacy contracts and client contracts, the Senior Data Scientist works to maximize prescription savings for our EPS clients and customers and margins for the company. The Senior Data Scientist may also support pharmacy benefit design creation, evaluation for overall effectiveness, both financially and clinically.

Essential Duties and Responsibilities: To perform this job successfully, an individual must be able to perform the following satisfactorily; other duties may be assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Using past experience and an understanding of the business, independently design and develop experiments to prove or disprove business hypotheses (e.g. consumer behavior, drivers of price sensitivity and prescription demand, etc.)

• 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.

• Partner 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: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 4-8 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

• Expert level skills to design dashboards using Tableau or other visualization tools
  
  

Education

• Master's degree or equivalent; or four to ten years related experience and/or training; or equivalent combination of education and experience.

Mathematical Ability:

• Apply advanced concepts such as exponents, logarithms, quadratic equations and permutations. Apply operations to such tasks as frequency distribution, test reliability/validity, variance analysis, correlation technique, sampling theory and factor analysis.

Computer Skills

• Advanced Python skills, Advanced SQL, Advanced Tableau or other data visualization tool.