Work Location Type: Hybrid - 2 days a week in office - Green Bay, WI
Imperial Supplies, a Grainger Company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs.
Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry.
We are seeking a Data Scientist to join our team at Imperial Supplies and drive data-driven decision-making across the organization. In this role, you'll design, test, and implement statistical models and machine learning applications to uncover actionable insights and create measurable business value. You’ll work closely with cross-functional teams and executive leadership, applying innovative approaches to complex business challenges and identifying opportunities to leverage data for strategic impact.
At Imperial, people come first. Here’s what we offer:
Competitive salary
Hybrid / Remote schedule
Work/Life balance
Immediate medical, dental, vision; 18 days paid vacation, 6 paid holidays and 6% of annual earnings contributed to your retirement, immediately vested !
Key Responsibilities
Collect, organize, and analyze large datasets from internal and external sources to support predictive modeling and strategic recommendations.
Develop, test, and validate custom models, algorithms, and simulations using R/Python and SQL.
Research and build machine learning applications involving structured and unstructured data, including regression, classification, and clustering models.
Create automated processes to test and monitor model performance and ensure data accuracy.
Develop and own measurement plans in partnership with key stakeholders.
Present key insights and recommended actions to stakeholders at all levels using effective communication and storytelling.
Build dynamic data visualizations using Power BI to monitor key business trends and metrics.
Stay current on advancements in data science methodologies and tools, fostering innovation in analytical processes.
Collaborate with IT and other departments to enhance data quality through improved cleansing and wrangling processes.
Qualifications
Required:
Master’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field — or equivalent work experience.
At least 1 year of experience in a data science or related analytics role.
Proficiency in R and/or Python, SQL, Power BI, and machine learning techniques (e.g., clustering, classification, regression).
Strong skills in data mining, algorithm development, and performance testing.
Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
Strong organization and time management skills with the ability to manage multiple priorities in a fast-paced environment.
Preferred:
3+ years of experience in a data science role.
Familiarity with tools such as Snowflake, Smartsheet, or Jira.
Demonstrated experience using large and multiple datasets to drive business value.
Proven ability to work cross-functionally with stakeholders at all levels.
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.
