Mgr, Lead Data Scientist

 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.

 

 

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,