Data Scientist

BINGHAMTOM UNIVERSITY
Chicago, IL, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$85,300.0 - $142,200.0
Working hours
Regular working hours
Job source

Tech stack

Databases Statistical Hypothesis Testing Python (Programming Language) Machine Learning Oracle (Applications) SQL Databases Teradata SQL Unstructured Data Snowflake

Job description

The Data Scientist plays a pivotal role in advancing Grainger’s strategic objectives by leveraging machine learning and statistical analysis to uncover insights that drive business value and fuel bottom-line growth. As part of the Finance organization, you will generate high-quality, data-driven insights that inform critical decisions and tell compelling stories behind the numbers. You’ll challenge the status quo, embrace complex problems, think big, and pursue innovative solutions that support Grainger’s mission to keep our customers’ operations running and their people safe. This position must be located in Lake Forest, IL or downtown Chicago office requring 2-3 days per week in the office.

You Will

  • Work closely with the business to understand the problem space, identify the opportunities, and translate business problems into technical solutions using machine learning frameworks.
  • Conduct exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new business insights.
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
  • Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations.
  • Create scalable, efficient, automated processes to support large scale data analyses, model development, model validation and deployment. Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, time series forecasting to build explanatory, predictive, prescriptive models appropriate for solving different business problems.
  • Create and present the materials necessary to effectively 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.

Requirements

  • Bachelor’s Degree Data Science, Statistics, Mathematics, Computer Science, or other quantitative field. Required
  • Master’s Degree Data Science, Statistics, Mathematics, Computer Science, or other quantitative field. Preferred.
  • 2+ years experience in specialized research, such as informatics, data collection, scientific research and research equipment. Required
  • Proficiency in databases such as Teradata, Snowflake or Oracle and querying languages (e.g. SQL)
  • Experienced with at least one data science programming languages (e.g., Python, R) and working with structured and unstructured datasets.
  • Experience with machine learning techniques such as classification, clustering, dimension reduction, regression, NLP algorithms, and time series modeling.
  • Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing.

Benefits & conditions

The anticipated base pay compensation range for this position is $85,300.00 to $142,200.00., 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.

About the company

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 maintenance, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on binghamton.edu

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · WWC 2021

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · WWC 2022

Videos

See all

Related articles

See all