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Imperial Supplies · 14 hours ago

Data Scientist

Green Bay, WI

Full-time

Hybrid

Entry, Mid Level

1+ years exp

Imperial Supplies is a national distributor of quality maintenance products, committed to fostering a welcoming workplace. They are seeking a Data Scientist to drive data-driven decision-making by designing and implementing statistical models and machine learning applications to create measurable business value.

Customer ServiceLogistics

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

Qualification

RPythonSQLMachine LearningPower BIData MiningAlgorithm DevelopmentCommunication SkillsTime ManagementCross-functional Collaboration

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

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!