JOB DESCRIPTION

Deadline to apply: March 21st 11:55pm EST

CVS Health is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Data Science is one of the foundational pillars driving CVS Health into a data centric company. You will be part of a large group of highly accomplished data scientists to help build innovative solutions and manage data using the latest tools and technology. Whether you specialize in Machine Learning, Optimization & Simulations, Statistical Analysis, or Natural Language Processing, you will have ample opportunity to contribute, grow and achieve your best working for Fortune 5’s largest healthcare company.

Who we are:

CVS Health Enterprise Analytics organization has several teams, Retail Analytics, Pharmacy Personalization Analytics, and Data Strategy and Engineering, helping lead the effort to transform healthcare and provide better outcomes for patients by leveraging solutions in a particular business analytic area and deliver new insights to leaders that manage the roadmap for enhancements that drive new development on existing or new solutions.

What you will do:

The Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. Some of the amazing work performed by our data scientists include: Finance Analytics focuses 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 95 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.

Front Store Personalization is responsible for those infamously long receipts during checkout! Our mission is to deliver personalized messages and content to 70 million+ loyalty members of the ExtraCare program. As part of the Front Store Personalization team, you will help us grow our suite of sophisticated predictive and optimization models. You will access cloud-based and on-premise data repositories on millions of customers, utilize numerous latest analytical technology platforms (like Snowflake), collaborate with amazing colleagues, and help drive hundreds of millions of dollars’ worth of incremental sales impact to CVS.

Retail Analytics impacts all aspects of our Retail Pharmacy business, using data science to optimize CVS' processes, strategy, and operations. As part of a broader team, we work on many different use cases and leverage techniques across machine learning, deep learning, statistics, optimization, NLP, and more. Examples of projects include using marketing mix modeling to determine the impact of CVS marketing campaigns; leveraging tree-based classification models to determine the next-best-action when insurance declines to pay for a prescription in the pharmacy; using forecasting methods to optimize CVS' logistics, inventory, and supply chain; and determining the ideal locations for CVS COVID testing using optimization methods.

Rx Personalization aims to improve patient adherence outcomes by personalizing the time, channel & content with which we outreach the patients. To solve this complex problem, we employ techniques across the breadth of the data science spectrum - classification/regression to deep/reinforcement learning. We also use causal inference techniques and uplift modeling methods to help fine tune the segment of population that best responds to the various outreach treatments. This team runs hundreds of experiments across the different levers through our in-house experimentation platform that has features of A/B testing and reinforcement learning based testing methods like MAB.

REQUIRED QUALIFICATIONS

You should:

• Currently be pursuing a Master’s Degree or PhD in Economics, Statistics, Mathematics, Computer Science, Engineering, or related field:
• Have internship or professional experience with advanced analytic functions of a corporation, tech startup, consulting firm, or similar utilizing ONE of the following: machine learning, optimization & simulations, statistical analysis & casual Inference, or natural language processing & deep Learning
• Have coding experience in Python, R or similar

PREFERRED QUALIFICATIONS

Preferred candidate should have experience/knowledge in the following:

• Knowledge of the healthcare landscape, including patient and payer concerns and operational considerations in support of business objectives and analytics experience within the retail and/or healthcare industries is preferred
• Translating business problems into modeling approach, considering business requirements, data availability, development time/complexity, and the ability to scale
• Evaluating emerging software tools, datasets, and customize algorithms to CVS use cases
• Participation in data science conferences and events

Machine Learning:

• Developing machine learning or optimization models considering the latest development in the research and tech community

Experience with optimization & simulations:

• Optimization packages such as Gurobi, CPLEX, etc.
• Tools to automate CI/CD pipelines, such as Jenkins, GIT, or Control-M

Experience with statistical analysis and casual Inference:

• General liner models, including regression techniques, marketing mix models, etc.
• Statistical measurements including experimental design, test and control selection, propensity matching, etc.
• Statistical inference

Experience with natural language processing and deep Learning:

• Internship experience building DL/NLP algorithms
• Internship experience working on projects with an NLP focus, such as sentiment analysis, automatic text generation, or auto summarization
• DL techniques, such as transfer learning (BERT, Inception, VGG, or ResNet), GANs (Generative Adversarial Networks), Boltzmann Machines, Deep Reinforcement Learning, or Autoencoders

EDUCATION

• Currently pursuing a Master’s Degree or PhD with an anticipated graduation date between January – August 2021
• Preferred/relevant majors in Economics, Statistics, Mathematics, Computer Science, Engineering or other related quantitative program
• 3.3+ cumulative GPA

BUSINESS OVERVIEW

At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.[]

At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.