Job Specifications
Job Title: Data Science and Machine Learning Senior Associate
Location: Dearborn, MI. (Must be local)
Job Type: Engineering
Expected hours per week: 40 hours per week
Schedule: Onsite
Pay Range: $50-57 an hour
Job Description
W2 ONLY, NO C2C
Job Summary
We are seeking a self?driven Senior Associate to support data?driven decision?making and infrastructure enablement for embedded and in?vehicle software systems. This role combines data science, analytics, and machine learning foundations with cloud infrastructure and DevOps support, ideal for a candidate who can work independently and take initiative in a fast?moving technical environment.
Key Responsibilities
Analyze raw data to identify trends, patterns, and actionable insights using data science, machine learning, predictive modeling, statistics, and advanced analytics
Translate business and engineering requirements into effective analytical and technical solutions that support data?driven decisions
Design, implement, and evaluate data analysis workflows, ML models, experiments, and hypotheses
Apply analytics techniques including data mining, predictive and prescriptive modeling, and statistical methods to uncover meaningful relationships in data
Design efficient data ingestion, augmentation, and analysis pipelines to improve accuracy, scalability, and automation of models
Support embedded and vehicle software teams by building, deploying, and maintaining infrastructure required to develop and release ECU software at scale
Build and manage cloud?based development environments to support embedded engineering workflows
Use Infrastructure as Code to provision and manage environments in a repeatable, scalable manner
Collaborate across teams while also demonstrating the ability to work independently with minimal oversight
Continuously research and adopt new tools, techniques, and best practices in data science, ML, cloud, and DevOps
Required Skills
Data Science, Data Modeling, Machine Learning
Strong analytical and problem?solving skills
Experience working with moderately complex systems and learning new tools quickly
Git?based version control and collaborative development practices
GCP (Google Cloud Platform)
Preferred Skills
Python for data analysis and modeling
GCP experience, particularly Compute Engine virtual machines
DevOps or infrastructure support experience for engineering teams
Infrastructure as Code tools such as Terraform and Packer
CI/CD tools including Jenkins and GitHub
Familiarity with embedded systems, ECU development, or in?vehicle software environments
Experience Requirements
5 years of relevant experience (Senior Associate level)
Background in data science, analytics, DevOps, or platform/infrastructure support
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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