Data Science and Machine Learning Senior Associate

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

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 Dev Ops support
, ideal for a candidate who can work independently and take initiative in a fast?moving technical environment.

• 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 Dev Ops

• 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)

• Python for data analysis and modeling
• GCP experience, particularly Compute Engine virtual machines
• Dev Ops or infrastructure support experience for engineering teams
• Infrastructure as Code tools such as Terraform and Packer
• CI/CD tools including Jenkins and Git Hub
• Familiarity with embedded systems, ECU development, or in?vehicle software environments

• 5 years of relevant experience (Senior Associate level)
• Background in data science, analytics, Dev Ops, or platform/infrastructure support

Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan