Senior Data Scientist

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, R Programming, Gurobi

Job Description

The Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. This role falls within the PBM Pricing Analytics team and will focus on building & deploying analytic models that help the PBM business meet its client and pharmacy financial guarantees.

This team works on drug pricing optimization models using linear and mixed integer programming techniques to optimize drug-level pricing tied to 100 million Americans. The models are designed to meet financial guarantees contracted by Caremark with its clients and pharmacy partners by optimizing drug prices while adhering to several regulatory and business constraints. The outcomes of these models (recommended drug prices) have delivered over $100M in value to Caremark.

Key responsibilities include:

• Developing and deploying linear & mixed integer programming models for price optimization initiatives
• Preparing data for analysis, working with data engineering team to create modeling datasets, assess completeness and quality of data, and perform feature engineering
• Applying experience from modeling and data engineering to successfully lead the development of statistical and mathematical analyses to support business decision-making
• Experience with Cloud technologies & concepts. Ability to structure data analysis, driving analytics insights and analytical solutions
• Understanding key drivers of business value and being able to translate into business opportunities and frame them as analytical problems.
• Ability to translate business problems into analytical solutions
• Collaborating with business partners to understand their strategy, problems, and goals
• Present recommendations to senior staff and internal clients. Mentors junior team members. Autonomously leads the client relationship with senior business leaders as their single point of contact

Required Qualifications

• 2+ years of experience coding in Python, R, or other modeling environments
• 2+ years’ experience with optimization model development including linear & mixed integer programming models
• 2+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
• 1+ year experience with statistical measurements including experimental design, test and control selection, propensity matching, etc.

COVID Requirements

CVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.

If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment. In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.

If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.

Preferred Qualifications

• 2+ years’ experience coding with commercial optimization solvers such as Gurobi, CPLEX, etc.
• Prior experience developing & deploying advanced analytics models supporting Underwriting, Actuarial and Financial Optimization domains
• Demonstrates a strong ability to communicate technical concepts and implications to business partners

Education

• Bachelor’s Degree in Operations Research, Industrial Engineering, Data Science, Computer Science, Applied Math, Statistics, or other related field; or Advanced Degree
• Preferred: Master’s Degree or PhD in Operations Research, Data Science, Computer Science, Applied Math, Statistics, or related field