Data Science and Machine Learning Senior Associate

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