CVS Health

Receive alerts when this company posts new jobs.

Similar Jobs

Job Details

Advisor, Data Science

at CVS Health

Posted: 9/21/2020
Job Reference #: 1318393BR
Keywords:

Job Description

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 CVS’s 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 Bachelor’s 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 Bachelor’s 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 Bachelor’s 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.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!