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Empower Professionals

Fulltime with client-Data Scientist- Grand Rapids, MI (Hybrid)

Pay: Not specified

Posted: 1 week ago

Location: Grand Rapids, MI (Hybrid)

Last Updated: 4 days ago

Hours: Full-Time

Expires: 10/12/2026

Career Insights for Data Scientist

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$98,181 / year median in Michigan

+16% projected growth

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Job Description

Role:

Data Scientist Location:

Grand Rapids, MI (Hybrid)

Duration:

FTE Must have:

Python, SQL, Machine Learning & Data Visualization, Retail, Finance, Pharma Position:

This role offers the opportunity to transform complex data into actionable business insights while developing dashboards, predictive models, and automated reporting solutions. The position combines advanced statistical analysis, machine learning, data visualization, and cross-functional collaboration to support strategic decision-making and optimize business processes and campaign outcomes.

Responsibilities:

Leverage data analysis experience across retail, pharmaceutical, and financial domains to deliver actionable business insights. Utilize Python and SQL to support data analysis and solution development. Develop dashboards using Tableau and Power BI. Develop predictive models and automated reporting solutions. Conduct advanced statistical analysis and machine learning to support strategic decision-making. Collaborate with cross-functional teams to optimize processes and campaign outcomes. Apply expertise in data visualization and ETL. Communicate insights effectively to stakeholders.

Requirements:

7+ years of experience in data analysis. Experience across retail, pharmaceutical, and financial domains. Experience with Python and SQL. Experience with Tableau and Power BI. Experience developing dashboards, predictive models, and automated reporting solutions. Strong expertise in advanced statistical analysis and machine learning. Strong expertise in data visualization and ETL. Strong stakeholder communication skills.