Data & Analytics Specialist
- Job ID
- 67097
- Category
- Quality
- Location
- Naucalpan de Juárez, Mexico
- Work Type
- Hybrid
At Ford, we made history, and now we work to transform the future of mobility for our customers, our communities, and our families. By joining us, you will build what matters and drive progress with heart, developing tangible innovations you will see on the road every day that help people move freely and pursue their dreams. Here, you can build more than vehicles; you will grow in ways that count, supported by a global family and a culture built on passion, capability, community, and trust.
Why Join Ford of Mexico?
Celebrating over 100 years of legacy in Mexico, we are more than just a business we are a vibrant, collaborative community of over 14,000 innovators shaping the global future of transportation. At Ford, we build what matters, grow where it counts, and drive progress with heart. Whether you are collaborating at our state-of-the-art Global Technology and Business Center (GTBC) or manufacturing iconic, award-winning vehicles in our world-class plants, you will find a culture evolving together, built on trust, passion, and shared purpose. Here, your work moves people forward, and your growth is personal. Join us, and let’s build what’s next together.
We are looking for a Data Scientist and AI Engineer to lead the development, deployment, and management of data science and AI solutions. In this role, you will be responsible for building predictive models and autonomous AI agents while managing products like the FBS Marketplace platform. You will focus on creating an ecosystem of reusable AI services that can be integrated across various projects. You will work closely with AI experts and IT teams to design software architectures and implement scalable solutions. We are seeking an independent problem solver who is passionate about applying modern technologies like LangChain and LangGraph to real-world industrial challenges.
- You will lead the data science and AI analytics for assigned projects, including the assembly of data, building data pipelines, and performing predictive and prescriptive analytics.
You will serve as the lead for the FBS Marketplace, ensuring that data science models and AI architecture are built as modular, reusable components to minimize technical debt and maximize utility across the company.
More specifically:
- Collaborate with PREs , business experts to understand their requirements and overall business needs and translate high-level ideas into well-defined mathematical problems
- Collaborate with IT partners to ensure that the AI/ML solutions are deployed seamlessly
- You will design and develop autonomous AI agents and multi-agent systems using LangChain and LangGraph to automate complex business workflows and reasoning tasks.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics or Engineering degree or a related field of study
- 2 + years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.
- 2+ years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
- 2+ years experience in at least one of the following languages: Python, PySpark, SQL, or similar languages
#FordMexico
#LI-DR1
-
Built on one bold idea and the passion to define sustainable transportation for generations to come, Ford is a story about people with a vision that’s still being written.
What We Do -
Ford’s culture fuels the kind of momentum where ideas flow, progress is unstoppable, and our people keep redefining what it means to innovate.
Our People and Culture -
At Ford, your work matters, your life matters and we’re here to back the whole you—from growth to well-being—so you show up ready to realize your full potential.
Your Benefits
Jobs For You.
Explore roles tailored to your interests, based on your preferences and experience.
-
Central Order Fulfilment Specialist
- Budapest, Hungary
-
Material Cost Optimization Engineer
- Bangkok, Thailand
-
Systems Engineering Transformation Lead
- Melbourne, Australia
-
Product Manager - Costumer Success
- São Paulo, Brazil