Data Scientist
Listed on 2026-02-07
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Job Description
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? We believe data tells the real story. Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts
Reset. Where the Global Data Insight & Analytics makes an impact,,x we advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use input your data expertise and analytical skills to drive evidence-based, timely decision making.
We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in transforming real‑world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact.
What You'll Do- Acquire, clean, and process messy, real‑world data from various sources to prepare it for analysis and modeling.
- Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses.
- Translate complex business questions and challenges into well‑defined data science problems and analytical tasks.
- Develop, train, and evaluate statistical and machine‑learning models to address specific business needs (prediction, classification, clustering, forecasting).
- Collaborate closely with engineering and product сочест to deploy models into production environments, ensuring scalabilityกินแบ่ง, reliability, and performance monitoring.
- Communicate findings and model results clearly and effectively to technical and non‑technical stakeholders, translating complex data analysis results ومن actionable business recommendations and solutions.
- Stay up-to‑date with the latest advancements in data science, machine‑learning, and relevant technologies.
- Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
- Demonstrated ability to deal with and process data from real‑world sources.
- Experience performing Exploratory Data Analysis (EDA).
- Experience with model development (statistical modeling, machine‑learning).
- Familiarity with the process of deploying models into production or working alongside teams that do.
- Proven ability to translate business questions into data‑driven problems.
- Ability to translate data analysis results and model insights into clear, business‑oriented solutions.
- Proficiency in at least one major programming language used in data science (e.g., Python, R).
- Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
- PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
- Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
- Experience with specific machine‑learning frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch).
- Experience in Auto Industry.
You may not check every box, or your experience may look a little different from what we’ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a change maker, a technical expert, a culture builder…or all of the above?
No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage начинает
- Flexible family care
ACTIVEdays, paid parental leave, new parent ramp‑up programs, subsidized backup child care and more - Family building benefits including adoption and surrogacy expense…
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