Data Scientist

Ford Motor • Dearborn, MI

6h • Onsite

About The Position

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.

Requirements

• Master’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 statistics, machine learning, and other advanced mathematical techniques for gaining insights from data
• 3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
• 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
• Experience with building solutions for operations management problems (e.g., timeseries modeling, forecasting, inventory optimization, service parts planning, logistics/distribution
• 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

Nice To Haves

• PhD in quantitative fields, such as (but not limited to) 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!

Responsibilities

• Acquire deep understanding of supply chain processes around problems and translate them into appropriate mathematical or model requirements
• Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python
• Identify data processing requirements for models, clean, and 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
• 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 manager
• Develop trust with stakeholders and peers by delivering results on time
• 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
• Mentor more junior data scientists by being a role model and advisor on the above tasks
• Find areas to lead and innovate as a Senior Data Scientist on the team

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.
• For a detailed look at our benefits, click here: Benefit Summary

What This Job Offers

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