The Global Data Insights and Analytics (GDI&A) navigates Ford Motor Company through the disruptions of the information age, unleashing the power of data, advanced analytics, and artificial intelligence to drive value and help transform Ford through proactive, actionable, evidence-based decision making. GDI&A delivers data-driven platforms and advanced analytics and AI/ML solutions for Ford Enterprise.
GDI&A - Industrial System Analytics (ISA) team is a trusted advisor providing data, advanced analytics/AI/ML, and insights to support, optimize, and transform areas across Ford enterprise like Quality, Manufacturing, Supply Chain / Purchasing, Program and Launch Management and Design Cost & Complexity.We leverage cutting-edge technologies to improve vehicle launch timing, quality, and cost.
ResponsibilitiesThis role demands strong technical expertise, hands-on experience with cutting-edge analytical tools (including AI/ML), strong understanding of software craftmanship / software development cycle, and the ability to translate business needs into actionable solutions. Successful candidates will provide technical and thought leadership in advanced analytics, AI/ML, and people management.
The ideal candidate possesses a strong theoretical foundation in statistical analysis, machine learning, simulation, econometrics, optimization, data platforms, and artificial intelligence and product development. Given the dynamic nature of data analytics and AI, a commitment to continuous learning and upskilling and being hands-on is essential. This role requires a blend of technical expertise, hands-on experience, strategic thinking, and strong leadership skills.
As a Data Science Manager, you will
lead a multi-disciplinary team of data scientists, machine learning engineers, product designers, data engineers, and software engineers through the entire lifecycle of complex analytical and AI/ML projects.
provide technical leadership and be hands-on from concept to deployment.
collaborate across GDI&A functions and partner with business stakeholders to drive strategic outcomes.
lead, mentor, and inspire your team to deliver impactful results, while fostering an innovative, collaborative, and high-performing environment.
Key Responsibilities:
Strategic & Technical Leadership: Lead business engagement, apply and refine methodologies to deliver analytical solutions that help data driven decision making to reduce cost, improve quality and deliver value across Ford Enterprise.
Data Improvement & Integration: Collaborate with business partners, GDI&A functional teams and Centers of Excellence to improve data quality and integrate data from diverse sources.
Hands-on Expertise: Build, improve, and deploy Machine Learning & AI models to provide descriptive, predictive and prescriptive analytics.
Team Leadership & Mentorship: Lead, mentor, and develop a high-performing team, fostering best practices in software development and data science.
Technology Strategy: Develop and implement a roadmap for adopting and integrating new technologies (e.g., GCP).
Cross-functional Collaboration: Work effectively with various teams and stakeholders to achieve business objectives
Qualifications
Required:
Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
5+ years of hands-on experience applying supervised and unsupervised machine learning and AI/ML techniques field (OEM experience preferred).
5+ years of leading a team of cross-functional technical experts.
Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
Experience with GCP and data related technologies (SQL, Spark, Hive).
Strong technical & people leadership, communication, and collaboration skills.
Experience working with Agile methodologies.
Strong experience with Java/AngularJS/ReactJS.
Preferred:
Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis and anomaly detection techniques.
Familiarity with computationally intensive statistical methods, Software development life cycle, Agile, Jira, system architecture principles, PDO processes and software craftmanship.
Google Digital Leader certification.
Skills Required
- Master's degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field
- PhD in a related field
- 5+ years of hands-on experience applying supervised and unsupervised machine learning and AI/ML techniques
- OEM experience
- 5+ years of leading cross-functional technical experts
- Proficiency in R and Python
- Experience with TensorFlow, PyTorch, Scikit-Learn, or XGBoost
- Experience with GCP and data technologies including SQL, Spark, and Hive
- Strong technical leadership, people leadership, communication, and collaboration skills
- Experience with Agile methodologies
- Strong experience with Java, AngularJS, and ReactJS
- Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis, and anomaly detection
- Familiarity with computationally intensive statistical methods, software development lifecycle, Agile, Jira, system architecture principles, PDO processes, and software craftsmanship
- Google Digital Leader certification
Ford Motor Company Compensation & Benefits Highlights
-
Healthcare Strength — Eligible employees can access medical, dental, and prescription coverage starting on the first day, with some zero-cost plan options and free mental health support. Benefits materials highlight comprehensive healthcare as a core pillar.
-
Retirement Support — Employees can enroll in a 401(k)-style plan from day one, and some salaried plans include a company match of $0.90 per dollar on the first 5% contributed. Official summaries also describe financial-planning support.
-
Parental & Family Support — The package includes paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp-up program for new parents returning to work. Flexible family-care days and other time-off options support caregiving needs.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
Ford Motor Company Offices
OnSite Workspace
