Hybrid Data Scientist

at Grainger

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Green Bay, United States

About the role

• Data Scientist at Imperial Supplies driving data-driven decision-making across the organization. Designing statistical models and machine learning applications to create measurable business value.

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.

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.
• 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.

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 !