Company

Grainger BusinessesSee more

addressAddressLake Forest, IL
type Form of workFull-Time
CategoryInformation Technology

Job description

About Grainger:
Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.
We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.
Position Details:
Reporting to the Manager, Lead Data Scientist, we are looking for a Data Scientist to join 50+ other Analytics and Data team members in our center of excellence supporting the entire business - who are passionate about leveraging data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. You will work in a hybrid environment with 2-3 days per week being spent in either our Lake Forest, Il headquarters or our Downtown Chicago office.
The Data Scientist will solve complex, data intensive problems as well as
  • Create perspectives on customers and marketplace dynamics that inform strategic choices.
  • Develop and deploy statistical and machine learning models that improve the effectiveness of our business operations.
  • Measure and identify the drivers of business performance.

You Will:
  • Work with the business to understand the problem space, identify the opportunities, and translate business problems into analytical solutions.
  • Apply techniques such as classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different business problems.
  • Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations.
  • Conduct exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new business insights.
  • Present the materials necessary to communicate the results of analytical work and associated recommendations.
  • Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market.
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
  • Create and maintain the code to support large-scale data analyses, model development, model validation and deployment.

You Have:
  • 2+ years of experience in analytics and data science roles or advanced degree
  • BS, MS, or PhD 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)
  • Experience with the following programming languages: Python, R, SPSS, or SAS
  • Experience working with very large structured and unstructured datasets
  • Experience with data visualization techniques
  • Experience with multi-variate linear regression, logistic regression, and time series modeling
  • Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
  • Experience translating analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences.
  • Experience with clustering and dimension reduction techniques
  • Experience with classification, gradient-boosting, and natural language processing algorithms
  • Experience using cloud-based machine learning resources such as those from AWS

Rewards and Benefits:
With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.
  • Benefits starting on day one, including medical, dental vision and life insurance
  • 6% 401(k) company contribution each pay period with no personal contribution required
  • Employee discounts, parental leave, tuition reimbursement, student loan refinancing, free access to financial counseling, education and more.

DEI Statement
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.
#LI-Hybrid
Refer code: 7814636. Grainger Businesses - The previous day - 2024-01-16 00:57

Grainger Businesses

Lake Forest, IL
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