Job Specifications
Job Title: Data Scientist
Location: Dearborn, MI.
Job Type: Data Science
Expected hours per week: 40 hours per week
Schedule: Hybrid
**W2 ONLY, NO C2C**
Job Description
As a Data Scientist, you will design, develop, and deploy advanced analytics products that optimize vehicle content strategy. You will work closely with other Data Scientists and Software Engineers to build robust, scalable solutions, and partner with Marketing stakeholders to ensure analytics products are relevant, impactful, and aligned to business needs.
This role requires deep quantitative expertise, strong Python development skills, fluency in cloud-based data environments (GCP), and a genuine curiosity for applying modern AI techniques to real-world decision systems.
What You’ll Do
Develop machine learning, statistical, and optimization models to support vehicle content and product strategy
Write high-quality, well-structured Python code for modeling, analysis, and experimentation
Query, manage, and analyze large datasets using cloud-based tools such as BigQuery
Partner with Software Engineers to transition analytical models into production-grade systems aligned with enterprise data architecture and MLOps standards
Conduct model validation, sensitivity analysis, and performance monitoring to ensure robustness and business relevance
Translate complex analytical outputs into clear, actionable insights while maintaining mathematical and statistical rigor
Research and apply emerging methodologies in AI, machine learning, econometrics, and optimization to continuously improve analytics products
Required Qualifications
Master’s degree or higher in a quantitative field such as Data Science, Economics, Statistics, Engineering, Operations Research, Mathematics, or a related discipline
2+ years of academic or professional experience in advanced analytics, including at least one of the following:
Machine learning
Mathematical optimization
Statistical or econometric modeling
Artificial intelligence
1+ year of experience working with large-scale datasets and modern data pipelines in a cloud environment (e.g., GCP)
Proficiency in Python for analytical and modeling workflows
Ability to translate complex analytical concepts into clear insights and documentation for technical and business stakeholders
Preferred Qualifications
PhD in a quantitative field (strongly preferred)
Experience deploying advanced analytics or machine learning models into production in partnership with software engineering teams
Familiarity with AI-assisted approaches to analytics (e.g., search space reduction, scenario exploration)
Experience working in Agile or product-driven development environments
Hands-on experience with Google Cloud Platform or similar cloud ecosystems
Comfort operating in environments where problems are not always well-defined
Strong interpersonal and communication skills, with the ability to explain complex topics clearly to both technical peers and senior leaders
Inquisitive, proactive mindset with a passion for learning new tools and techniques
Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
About the Company
Why Choose Epitec?
Founded in 1978 and headquartered in Southfield, Mich., with regional hubs in Chicago, Central Illinois, and Dallas, Epitec is dedicated to making staffing personal. Our customers include Fortune 500 companies across the United States, providing you access to high demand career opportunities.
What Makes Epitec Different?
Our flexible workforce model is designed with you in mind. Whether you're looking for contract-to-hire, direct hire, or other employment options, we tailor our services to fit your career...
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