Data Scientist

IMPERIAL SUPPLIES LLC • Green Bay, WI • 22h ago

JOB REQUIREMENTS: Work Location Type:Hybrid 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...
For full info follow application link. Imperial Supplies is an Equal
Opportunity and Affirmative Action Employer. Qualified minorities,
females, those with disabilities, and veterans are especially encouraged
to apply. *** APPLICATION INSTRUCTIONS: Apply Online:
ipc.us/t/F6F2DC2BAE524415

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