Senior Manager, Data Science

Work Location Type: Hybrid  

Req Number 322391

About Grainger:

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.  

 Compensation

The anticipated base pay compensation range for this position is $143,000.00  to $238,400.00.

Rewards and Benefits:

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger’s benefits, please click on the link below:

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

The pay range provided above is not a guarantee of compensation.  The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.   

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. 

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.  

Position Details

Reporting to the Director, Digital Experience Analytics, the Senior Manager, Data Science will develop a deep understanding of customer experience in digital channels through advanced analytics and data science applications. The role is tasked with uncovering the features and functionality that drive value for the business through both effective people leadership and hands-on analysis.

This position requires 2 days per week onsite with flexibility to work from Lake Forest, IL or Chicago, IL offices.

You Will

• Inform digital strategy, website development and digital technology investments through analytics and data science applications.
• Build statistical and machine learning models to uncover insights about digital customer experience. Apply techniques such as clustering, classification, regression, natural language processing and time series modeling.
• Leverage big data from multiple sources to build custom datasets, then visualize patterns, identify trends, and perform feature engineering / variable selection for further analysis.
• Partner with a variety of business stakeholders to analyze opportunities and trends. Lead the process of translating business problems into analytic projects, returning with powerful insights.
• Manage a variety of projects concurrently. Generate project ideas through business observations and interactions with business partners.
• Communicate findings to audiences at all levels, including senior leadership. Tell powerful data stories to make insights clear, influencing company strategy.
• Manage a team of experienced data scientists and analysts to deliver insightful analytics and data science projects. Provide coaching and mentorship to grow technical, analytic, and business skills within the team.
• Function as a subject-matter expert on the analysis of big data. End-to-end expertise required, including dataset building/cleaning/transformation, analysis/model-building, and the presentation of actionable results.

You Have

• Masters’ or graduate degree in a quantitative field required (mathematics, statistics, engineering, data science, analytics, operations research, economics, etc.) or equivalent work experience.
• 8+ years’ analytics/data science experience with strong business acumen, preferably with an understanding of online customer behavior in the retail industry. B2B experience is a plus.
• Deep knowledge/proficiency in coding for data science and analytics applications (Python or R preferred).
• Deep experience and expertise in statistical modeling and machine learning in-industry (regression, classification, clustering, natural language processing, time-series modeling).
• Knowledge of database design and logic (e.g. Teradata, Snowflake), with demonstrable ability to build complex queries in SQL.
• Proven record of using analytics to solve business problems by developing an analytical approach, identifying necessary data sources, executing the analysis, and tying it to actionable business decisions.
• Broad business perspective with a strategic mindset and exceptional problem-solving skill.
• Demonstrated thought leadership and intellectual curiosity.
• Ability to influence decisions without authority.
• 2+ years’ experience as a people leader.
• Excellent written and verbal communication skills, with an emphasis is compelling data storytelling.
• Preferred experience in retail or B2B industries.
• Preferred experience with digital commerce and web analytics tools such as Adobe Analytics or Google Analytics.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.