Data Scientist

Grainger Businesses • Allouez, WI

1d • Hybrid

About The Position

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!

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees