Data Scientist
About The Position
As a Data Scientist at Ford, you will serve as a domain expert in at least one core data science discipline (e.g., NLP, Generative AI, Computer Vision, forecasting, or prognostics), applying deep hands-on expertise to tackle challenging business problems where standard methods fall short. You'll design and deliver production-grade solutions, lead methodology and tooling decisions, and partner closely with business stakeholders to translate complex data insights into strategic direction. You will interact directly with manufacturing personnel to identify data sources and understand key process details, performing data exploration to formulate hypotheses and developing models that deliver actionable insights back to the manufacturing floor. You'll collaborate closely with Data Engineers and Software Engineers to design and develop applications consistent with standard development methods and milestones, and support the deployment of these applications within the manufacturing process through rigorous model verification and hands-on training of end users. Once deployed, you'll continue to support these applications by resolving issues that arise during use and enhancing them based on ongoing user feedback. Beyond individual technical excellence, you'll mentor and oversee the work of junior and mid-level data scientists, champion best practices across the team, and help shape Ford's broader data-driven culture and roadmap. At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation. We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.
Requirements
- Domain expert in at least one core data science discipline (e.g., NLP, Generative AI, Computer Vision, forecasting, or prognostics).
- Deep hands-on expertise to tackle challenging business problems.
- Ability to design and deliver production-grade solutions.
- Ability to lead methodology and tooling decisions.
- Ability to partner closely with business stakeholders.
- Ability to translate complex data insights into strategic direction.
- Experience interacting with manufacturing personnel to identify data sources and understand key process details.
- Experience performing data exploration to formulate hypotheses.
- Experience developing models that deliver actionable insights.
- Experience collaborating closely with Data Engineers and Software Engineers.
- Experience designing and developing applications consistent with standard development methods and milestones.
- Experience supporting the deployment of applications through rigorous model verification and hands-on training of end users.
- Experience supporting deployed applications by resolving issues and enhancing them based on user feedback.
- Experience mentoring and overseeing the work of junior and mid-level data scientists.
- Experience championing best practices across a team.
- Experience shaping a broader data-driven culture and roadmap.
Responsibilities
- Serve as a domain expert in at least one core data science discipline (e.g., NLP, Generative AI, Computer Vision, forecasting, or prognostics).
- Apply deep hands-on expertise to tackle challenging business problems where standard methods fall short.
- Design and deliver production-grade solutions.
- Lead methodology and tooling decisions.
- Partner closely with business stakeholders to translate complex data insights into strategic direction.
- Interact directly with manufacturing personnel to identify data sources and understand key process details.
- Perform data exploration to formulate hypotheses.
- Develop models that deliver actionable insights back to the manufacturing floor.
- Collaborate closely with Data Engineers and Software Engineers to design and develop applications consistent with standard development methods and milestones.
- Support the deployment of these applications within the manufacturing process through rigorous model verification and hands-on training of end users.
- Support deployed applications by resolving issues that arise during use and enhancing them based on ongoing user feedback.
- Mentor and oversee the work of junior and mid-level data scientists.
- Champion best practices across the team.
- Help shape Ford's broader data-driven culture and roadmap.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
