Ford is looking to transform its Integrated Services (IS) Analytics through advanced data science, machine learning, and AI technologies to redefine mobility and drive evidence-based decision making. The Data Science Leader will shape and execute Ford's Data Science and AI strategy within IS Analytics.
Requirements
- 3+ years of hands-on experience with advanced analytics, machine learning, and data science software (e.g., Python-based tools), with experience in Generative AI or Agentic AI a plus.
- Experience using cloud platforms (Azure, AWS, or GCP) and enterprise Data Science/AI platforms.
- Demonstrated proficiency in modern ML frameworks, statistical modeling, and data analysis techniques. Experience with Gen AI technologies is a plus.
- Expertise in advanced and predictive analytical methods (e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, Regression, Image Processing, NLP).
- Working knowledge of Google Cloud Platform (GCP).
- Expertise in open-source data science technologies such as Python, R, Spark, SQL.
Responsibilities
- Define and communicate advanced analytics and AI roadmap aligned with Integrated Services strategic priorities.
- Engage directly in solution design, model development, and deployment to ensure scalability and reliability.
- Build and mentor IS Analytics teams, fostering innovation and technical excellence.
- Provide hands-on technical guidance in solution design, model development, and deployment.
- Lead technical and design reviews, direct advanced Data Science and AI research, and build robust engineering practices for architecture, MLOps, and software engineering rigor.
- Own the end-to-end delivery of analytics, AI products and services from concept to production, ensuring rapid iteration, quality, reliability, and scalability in partnership with cross-functional teams.
- Apply deep expertise in cloud-based AI platforms, modern ML frameworks, Python, containerization, and version control to design, implement, and optimize end-to-end ML pipelines and large-scale data processing for production deployment, including advanced ML algorithms, statistical modeling, and Generative/Agentic AI applications.
Other
- Seasoned leader in Data Science and AI applications, with proven experience delivering and scaling multiple advanced analytical and AI solutions in production environments.
- 3+ years leading and managing direct reports.
- Proven ability to hire, grow, and mentor high-performing AI and Data Science teams.
- Collaborate with business and technology stakeholders to integrate Data Science and AI into core offerings and deliver measurable outcomes.
- Visa sponsorship is available for this position.
