: Advisor, Analytics
1 CVS Drive
Woonsocket, RI 02895

Employee Testimonials

CVS Health testimonial
CVS Health testimonial

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Job Description
Responsible for analyzing large data sets and building the advanced analytical machine learning models, and optimization techniques to drive business solutions and grow CVSs front store retail business. Work with cross functional teams to provide analytical solutions for customer segmentation, email targeting, channel optimization, promotional offer optimization and recommendations, and building the personalization engine. Work with massive business and the data generated by CVS's unparalleled online and offline systems. Responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust and scalable predictive models. Be a part of a cross-functional team of scientists, engineers, and business professionals that sit at the intersection of data science, IT infrastructure, and business.

Key Responsibilities:
Design and build machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty prediction, customer personalized engine recommendations, customer segmentation and profiling, e-mail targeting, retention analysis, churn assessment, and product recommendation
Design and build personalization engines/learning systems that react to changes in customer preferences using advanced machine learning and statistical techniques
Architect, develop, and maintain data analytics platforms that visualize data and drive business insights that can be translated into product strategies and marketing decisions
Research and brainstorm with internal stakeholders to identify advanced analytics opportunities to advance automation, help with knowledge discovery, support decision-making, gain insights from data, streamline business processes, and enable new capabilities
Perform hands-on data exploration and modeling work on massive data sets. Perform feature engineering, train the algorithms, back-test models, compare model performances and communicate the results
Evaluate effectiveness of existing merchandising, marketing & promotional strategies and make recommendations for future optimization
Provide thought leadership by researching best practices, extending and creating new machine learning and statistical methodologies, conducting experiments, and collaborating with cross functional teams
Develop end-to-end efficient model solutions that drive measurable outcomes. Manage the model development lifecycle, including both working with data engineers and IT partners to identify what data are needed, and training the business end-users on how to leverage the modeling output.

Required Qualifications
A Bachelors degree or foreign equivalent in Statistics, Econometrics, Operations Research, Computer Science, Applied Mathematics or related field and 5 years of experience in solving complex business problems and delivering data science/machine learning/artificial intelligence solutions. Must also have 5 years of experience in Machine Learning; Python, R or Spark; Statistical Techniques; Decision Trees; and, Clustering.

Preferred Qualifications
A Bachelors degree or foreign equivalent in Statistics, Econometrics, Operations Research, Computer Science, Applied Mathematics or related field and 5 years of experience in solving complex business problems and delivering data science/machine learning/artificial intelligence solutions. Must also have 5 years of experience in Machine Learning; Python, R or Spark; Statistical Techniques; Decision Trees; and, Clustering.

Education
A Bachelors degree or foreign equivalent in Statistics, Econometrics, Operations Research, Computer Science, Applied Mathematics or related field. Please see required qualifications

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.

Full-time

Employee Testimonials

CVS Health testimonial
David L. Casey
Vice President, Workforce Strategies and Chief Diversity Officer

The military has an ethos that is grounded in purpose-driven service that’s bigger than the induvial. The same holds true for us at CVS Health. You can talk to colleagues in any part of our business and they will be able to articulate our company’s purpose. Working here provides an opportunity for service members and military spouses to continue to serve -- just in a civvies.

CVS Health testimonial
Susan Medina
Head of Executive Search & International Talent Acquisition

As a member of the CVS Health team I have the chance of a lifetime to work for a company with a purpose in which I truly believe. Who wouldn’t want to go to work every single day knowing that every conversation, every meeting, every email, every day will have an impact on someone, especially when that someone is likely a friend, a family member, a grandma, or even a stranger?