Data Science Manager
Englewood Cliffs, NJ 71903
Location: Englewood Cliffs, NJ
Salary: $140,000 - 160,000
Contact: Paul Chatlos, [email protected]
This is an exciting new role in the Data Science and Analytics group in Information & Analytics, which is tasked to deliver maximum value from data to drive business and organization performance.
The I&A In-Market team helps markets win with data, data science, and analytics in a way that leverages the close engagement/ relationship with CCBTs (Country Category Business Teams) and CD (Customer Development) leadership with a (highly technical) data science hub team so that they can solve for both large transformation programs and near-term business problems.
The I&A In-Market team is composed of business interpreters, data scientists, and data experts who can: quickly understand the business context + problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud-based environments where data, models, and user interfaces reside in the same platforms-core technologies.
Data Science Manager: Who You Are & What You'll Do
Data Science MAnager: The role has three main accountabilities:
-Owns the prioritization of the I&A analytics strategy, including landing of existing analytic products (including change management plan), co-creation of analytic innovations, and acquisition of new data that is market specific.
-Leader of a team that is tasked with creating value using data and analytics - coaching, mentoring and goal-setting for direct reports
-Partners with Senior leadership to identify market wide business issues. Ability to speak the language of the business and adopt a problem-solving approach to drive solutions at speed.
Data Science Manager: What You'll Need To Succeed
-Overall experience of 8-10+ years preferred working in Sales and/or Marketing functions in a large CPG
-Strong track record of working with senior business leadership (VPs+)
-Ability to manage multiple requests and priorities simultaneously in a highly dynamic market
-Passion for empirical research and for answering hard questions with data
-Ability to communicate complex quantitative insights in a precise, and actionable manner