Data Scientist (Automotive Safety)

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. 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 your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position...

Ford GDI&A Industrial Systems Analytics is actively looking for an experienced Data Scientist who is passionate about hands-on development and delivering impactful data-driven solutions. In this role, you will leverage your expertise in Machine Learning, Statistical Analysis, and Data Processing techniques to implement, evaluate, deploy, and monitor cutting-edge solutions. You will serve as a technical expert across a variety of critical products and initiatives, including developing advanced models for tabular data predictions, building intelligent QA/chatbot systems, enhancing semantic search and summarization capabilities, and ensuring robust platform cloud deployment and CI/CD pipelines. This position requires a professional who can not only solve complex technical challenges but also drive the operationalization and continuous improvement of our analytical systems.

What you'll do...

• Design NLP/LLM applications/products by following robust coding practices
• Perform Statistical Analysis and preprocessing on large datasets
• Explore SoTA models/techniques so that they can be applied for automotive industry usecases
• Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions
• Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools
• Showcase Machine Learning, Deep Learning and GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,)
• Build modular AI/ML products that could be consumed at scale.

You'll have...

• Bachelor’s or Master’s Degree in Computer Science, Engineering, Math or Science
• High familiarity in the use of DL theory/practices in NLP applications
• Comfort level to code in Huggingface, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas
• Comfort level to use two/more of open source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, farm-haystack, and others
• Familiarity in the use of Docker tools, pipenv/conda/poetry env
• Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,)
• Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,)
• Use of GCP services like BigQuery, Cloud function, Cloud Build, VertexAI,
• Good working knowledge on other open source packages to benchmark and derive summary
• Experience in using GPU/CPU of cloud and on-prem infrastructures
• Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.
• Use of Dockers (experience in experimental docker features, docker-compose, etc.,)
• Familiarity with orchestration tools such as airflow, kubeflow
• Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.

Even better, you may have...

• UI skills to visualize and build better applications using Gradio, Dash, Streamlit, Django, etc.,
• Deeper understanding of , css, html, etc., is a plus
• Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF)
• Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs)
Experience in Elastic Search and Apache Solr is a plus, vector databases

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 changemaker, 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
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 – salary grade 8 and ranges from $97,140 - $190,500.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: New Hire Benefits

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

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