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Senior Data Scientist

Job in Mt Clemens, Mount Clemens, Macomb County, Michigan, 48043, USA
Listing for: CNA Search
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Mt Clemens

Senior Data Scientist AI, Automation, and Predictive Intelligence. Must have GCP, Marketing, Start up.

We are partnering with a high-growth AI and technology services firm seeking a Senior Data Scientist to drive intelligent automation and predictive modeling across enterprise systems.

This is a high-impact role with executive visibility and direct influence on scalable AI strategy.

Priority Experience Required
  • Direct experience supporting Marketing analytics, demand forecasting, or digital performance optimization
  • Experience operating in a startup or high-growth environment with speed and ownership
  • Experience in manufacturing or automotive environments strongly preferred
  • Background building AI-driven automation systems in production
What You’ll Do
  • Analyze large structured and unstructured datasets to uncover automation and optimization opportunities
  • Design, build, and deploy predictive and prescriptive ML models
  • Develop forecasting models tied to revenue, demand signals, and operational efficiency
  • Integrate data science solutions into production systems alongside engineering teams
  • Build dashboards and executive-ready visualizations for decision support
  • Partner cross-functionally to drive measurable business outcomes
What You Bring
  • 5–10 years of data science experience with proven business impact
  • Strong Python and SQL skills
  • Experience with Tensor Flow, PyTorch, or scikit-learn
  • Solid foundation in statistics, predictive modeling, and experimentation
  • Experience with Tableau, Power BI, or similar tools
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Position Requirements
10+ Years work experience
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