Director, Data Science

Grainger
Grainger

Job Overview

Reporting to the Sr. Director, Analytics & Data, the Director of Data Science will direct the selection, planning and completion of all data science opportunities that involve high impact, customer-affecting tactics and strategies working in partnership with various functional and business partners.

The decisions made by this position have a profound impact on the organization through the development of analytical work that influences overall company direct marketing, catalog, eCommerce, branch, and sales force strategies and enhances the success of tactical initiatives. The role is critical to company’s continued transformation to an increasingly digital and data-driven organization.

Principal Duties & Responsibilities:

Work with internal senior leaders and business partners to identify key areas for Data Science to impact customer experience and demand generation across domains that include sales force, marketing and website
Create and align on a roadmap to execute against the priorities
Research and recommend data science solutions for improved effectiveness and delivery of demand generation initiatives
Direct the design, development, and delivery of data science initiatives across the organization
Partner with internal senior leaders to ensure these business initiatives are executed with optimal chance of success and adoption
Direct, coach, and mentor a growing talented team of data scientists, while creating an inclusive environment
Provide thought leadership around the data and computing environment necessary for optimal success
Appropriately communicate and represent the work performed by the team to senior leadership within the company

Preferred Education & Experience:

Bachelor’s degree in statistics, economics, mathematics, or related field. Master’s in statistics, economics, data science, or analytics preferred
10+ years equivalent work experience required.
Experience directing a Data Science program in a company, that includes demonstrable impact via development and implementation of Data Science based products and product roadmaps
Experience with linear regression, logistic regression, cluster analysis, time series analysis, and machine learning/ AI techniques
Experience with SAS, R, Python, and SQL
Knowledge of artificial intelligence systems, including image recognition
Ability to assume high exposure responsibilities and interact with senior leadership
Strong business acumen and a strategic mindset
Excellent and proven communication skills
Ability to establish and sustain strong business relationships and effectively prioritize business needs

Grainger is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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