Work Location Type: Hybrid
As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.
Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years.
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Position Details:
We are looking for Manager, Data Science with a passion for using data and quantitative methods to provide tangible, long-term monetary benefits to our organization. We're looking for people who never stop learning.
You will report to Director, Analytics. You will lead a team of analysts that solve complex, data intensive problems. This is a hybrid position based out of either Lake Forest, IL or Chicago, IL.
You Will:
- Develop and deploy statistical and machine learning models that improve the effectiveness of our business operations
- Measure and identify the drivers of business performance
- Manage the development of explanatory, predictive, and prescriptive models appropriate for solving different business problems
- Manage the design, execution, and measurement of experiments including delivery of results and recommendations
- Develop the hypotheses to inform exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new insights
- Manage relationships between business partners and the data science team; partner with the business to identify and implement analytical solutions and contribute to go-to-market strategies
- Create and present the materials necessary to communicate the results of analytical work and associated recommendations
- Identify white-space opportunities using our go-to-market model, and the broader MRO market
- Coach team members on project work; assist junior team members in developing new skills
You Have:
- 7+ years of experience in analytics and data science roles
- Bachelor Science (BS) or higher in a technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering
- Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
- Advanced in one of the following programming languages: Python, R, SPSS, or SAS
- Proficiency with extraction and manipulation of very large structured and unstructured datasets
- Proficiency with data visualization techniques
- Proficiency with one or more analytical techniques and knowledge of others: multi-variate linear regression, logistic regression, time series modeling, statistical design of experiments and hypothesis testing, clustering, dimension reduction techniques, classification, gradient-boosting, and natural language processing algorithms
- Proficiency applying cloud-based machine learning resources such as those from AWS
- Experience establishing relationships and building credibility with collaborators and colleagues
- Experience prioritizing tasks and aligning partner expectations
- Experience mentoring others
Rewards and Benefits:
With benefits starting day one, our programs provide choice and flexibility to meet team members' individual needs. Check out the highlights below and review all our benefits at GraingerTotalRewards.com.
- Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing
- Paid time off (PTO) and 6 company holidays per year
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match 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
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible 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. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.