Data Scientist (Automotive Safety)

Ford • Dearborn, MI

2d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level