Senior Manager, Data Science

Key Skills

Agile methodologies, Apache Hadoop, Apache Hive, AWS, Data science techniques, Data Visualization, Git, Google Cloud Platform (GCP), Machine learning techniques, Microsoft-Excel, MySQL, Natural Language Processing (NLP), Oracle, Python Programming, R Programming, SQL, Statistics, Tableau, Teradata, VBA

Job Description

CVS Pharmacy, Inc., a CVS Health company is hiring for the following role in New York, NY: Senior Manager, Data Science to formulate and apply mathematical and modeling methods and business analytics towards data extraction and manipulation in support of business intelligence initiatives. Duties include: apply advanced quantitative, data modeling, and machine learning methods to lead the development, validation, and delivery of algorithms, statistical models, and reporting tools; leverage data science, analytics, and large-scale optimization of digital properties and applications to develop predictive models that maximize behavioral change; identify and solve data modeling and machine learning problems, including validating information, applying quantitative judgment, and applying complex algorithms and artificial learning; perform validation and testing of models to ensure adequacy and reformulate models as necessary; and act as an analytics product owner and translate business needs into data analytics projects and recommendations. Multiple positions.

Pay Range

The typical pay range for this role is:

Minimum: 166,336

Maximum: 166,336

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit

jobs.CVSHealth.com/benefits

Required Qualifications

Master’s degree (or foreign equivalent) in Data Science, Statistics, Business Analytics, Business Administration, or a related field, and two (2) years of experience in the job offered or a related occupation. Also requires (2) years of experience in each of the following: Business Intelligence (BI) development and reporting; SAS and SQL for data aggregation; Tableau, Google Looker or Power BI for data visualization; Amazon Web Services (AWS, Google Cloud Platform (GCP), or Hortonworks Data Platform (HDP); statistical signals, algorithms, and regressive and predictive modeling; and SPSS, R, Python and Excel for data analysis and database creation.

Business Overview

Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.