We are looking for a Data Scientist to pioneer in optimizing Ford’s service supply chain. A successful candidate must have experience in Statistics, AI/ML and Operations Research solving various operations problems such as supply chain. The ideal candidate will effectively interface between technical and business teams working through data challenges, building models, and refining model results using feedback.
This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. – We value being Smart. Nice. Curious. Communicative.
What you’ll do:
• Acquire deep understanding of supply chain processes, formulate problems and translate them into appropriate mathematical or modeling requirements
• Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python
• Identify data processing requirements for models, clean, assess validity, and completeness of data samples from multiple sources
• Develop/maintain model deployment pipeline on GCP
• Contribute and review code for our code base in GitHub in object-oriented programming manners following appropriate software engineering practices (e.g., modular design, testing, version control)
• Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering
• Interpret analysis and modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
• Interact and work cross-functionally with a variety of data scientists, business analysts, data engineers, software engineers, and product managers
• Develop trust with stakeholders and peers by delivering quality results on time
• Communicate complex analysis/model results through clear storytelling and visualization to both technical and non-technical audiences
• Ensure overall quality of the data & solutions throughout the development process
• Provide training and maintenance of implemented tools to business partners
• Collect feedback from business users and continuously improve products
The minimum requirements we seek:
• Bachelor’s degree in engineering, Statistics, Data Science, Engineering, Economics, Mathematics, Data Science, Data Analytics, Operations Research or similar technical field or a related quantitative discipline.
• 3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
• 3+ years of experience building and applying complex models in supply chain / operations management (e.g., timeseries modeling, forecasting, inventory optimization, service parts planning, logistics/distribution)
• 3+ years of experience in technical expertise across statistics, machine learning, AI, operations research (optimization and/or simulation) with rigorous model validation (e.g., backtesting, sensitivity/scenario analysis with respect to impacts to cost and customer
• 3+ years of experience using Cloud Services, ideally Google Cloud Platform including, BigQuery, Dataform, Cloud Run, Cloud Build for productionizing models
• 5+ years of experience with real-world data, data cleaning and processing for modeling, data collection or other data wrangling challenges
• Comfortable working in an environment where problems are not always well-defined
• Well-organized, a self-starter, independent and ready to work with minimal supervision
• A respectful and committed teammate, willing to excel and work with talented people
• Strong story telling skills to get buy-ins from leadership across and carry out the vision
• Inquisitive, proactive, and interested in learning new tools and techniques
Even better, you may have...
• Master's or PhD in quantitative fields, such as Statistics, Engineering, Economics, Mathematics, Data Science, Data Analytics, Operations Research or similar technical field.
• Deep expertise with scaling approaches for large scale machine learning/optimization/simulation problems
• Experience with inventory and service parts planning (e.g., multi-echelon, service-level constraints, lead time variability) building Data Science solution and realize quantified
• Experience operationalizing models into production workflows (APIs, scheduled pipelines, monitoring/alerting, production support).
• Experience with Docker best practices and production-grade CI/CD and release management on GCP
• Proven track record influencing stakeholders and driving adoption of analytics products in an operational business environment
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!
Top Skills
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
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