Ford Motor Company Data Scientist in Dearborn, Michigan
Job Description & Qualifications:
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
The Operations Analytics Consulting and Research Center (CRC) within Ford Motor Company’s Global Data, Insights and Analytics (GDI&A) organization is seeking a Data Scientist to join our team. As a Data Scientist in the CRC team, you will bring to bear cutting-edge methodologies that can address multiple themes’ challenges in Operations Analytics (e.g., Manufacturing, Supply Chain, Quality, etc.). You will develop proof of concepts and transfer the knowledge to one or more Theme owners for deployment in current analytical solutions. This an exciting opportunity to work on a broad spectrum of areas such as Supply Chain Optimization, Inventory & Capacity Planning, and Process Design & Optimization.
What you’ll be able to do:
Translate business problems and questions into specific quantitative questions to be answered with available data using robust methodologies.
Develop data-driven mathematical models using optimization and/or statistical techniques.
Stay up to date with the latest academic and industry research in Operations Research and Simulation for potential business applications in Supply Chain, Manufacturing, etc.
Communicate final recommendations to stakeholders.
The minimum requirements we seek:
Masters in a quantitative field such as Operations Research, Statistics, Applied Mathematics, Computer Science, Physics, or Engineering
3+ years’ experience modeling Manufacturing, Supply Chain, and engineering-related problems (including internship/co-op/course work)
3+ years of experience building mathematical, statistical, and/or simulation models (including internship/co-op/course work)
3+ years of experience using optimization solvers such as CPLEX/Gurobi/Xpress (including internship/co-op/course work)
3+ years of experience prototyping and developing software in traditional programming languages (C++, Java, Python) (including internship/co-op/course work)
2+ years of experience in SQL and data modeling (including internship/co-op/course work)
Our preferred requirements:
Ph.D. in a quantitative field such as Operations Research, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or any other data related field.
Experience with simulation modeling tools (e.g. AnyLogic).
Knowledge of Probability & Statistics (e.g., Hypothesis testing, Regression, Stochastic modeling, Markov Chains, etc.)
Familiarity with unsupervised and supervised machine learning algorithms.
Excellent written, oral, and interpersonal communication skills.
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.
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. Visa sponsorship is not available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. 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.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2021- benefits-and-comp-GSR-sal-plan-1.pdf
Auto req ID:
Ford Motor Company
Global Data, Insights & Analytics (GDIA)
Ford Motor Company
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