Analytics Scientist - Order-to-Delivery Analytics

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Auto Req ID:
30567BR
Job Title:
Analytics Scientist - Order-to-Delivery Analytics
Location:
Dearborn
State:
MI
Company:
Ford Motor Company

Job Description
Position Description/Overview:
Ford Motor Company's Global Data, Insight, and Analytics (GDI&A) organization is looking for motivated and talented individuals with a background in advanced analytics such as Optimization, Machine Learning, and Statistics. This is an opportunity to learn and apply the latest tools and methods in data science to a variety of interesting and challenging business problems at Ford. Recent projects in this group have led to the development of applications in the areas of product complexity management, capacity planning, production scheduling, and other business opportunities in Manufacturing and Supply Chain Management. The successful candidate will work as a member of the Order-to-Delivery Analytics team and develop advanced analytics models to support Ford’s activities in inventory strategy, demand forecast, order generation, scheduling, logistics, supply chain optimization, and more.


Responsibilities:

  • Communicate with business partners to understand the business opportunities and translate high-level ideas into well-defined mathematical formulations
  • Pinpoint which elements of sample datasets can be most effectively leveraged in analytics models and what potentially useful information may be missing
  • Develop and implement advanced analytics algorithms and computationally efficient methods for obtaining optimal or near-optimal solutions
  • Design and implement heuristic algorithms for obtaining feasible solutions quickly
  • Develop complete system designs that include data, pre-processing, model building, post-processing, and user interfaces
  • Effectively and frequently communicate with business customers and GDI&A management. Ability to explain highly technical contents with non-technical people is a must

Job Requirements
Basic Qualifications:
  • Master in Mathematics, Statistics, Computer Science, Operations Research, Industrial Engineering, Physics or other related technical areas
  • 2+ years of experience in applications of optimization, statistics, and/or machine learning to time series, forecasting, scheduling, supply chain, or other related business areas
  • 1+ years of experience with database queries such as Hadoop or SQL
  • 1+ years of experience with programming languages such as R, Python, Java or TensorFlow
  • 1+ years of experience with data visualization tools such as QlickVIew or Tableau

Preferred Qualifications:
  • PhD in Mathematics, Statistics, Computer Science, Operations Research, Industrial Engineering, or other related technical areas
  • Knowledge and experience in Supply Chain Management especially in Order To Delivery processes and systems
  • Proficiency in developing prototype software applications using Java (preferred), C/C++, or similar languages and frameworks
  • Project management experience
  • Comfortable working in an environment where problems are not always well-defined
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Strong oral, written and interpersonal communication skills
  • Well-organized, independent and ready to work with minimal supervision
  • Knowledge and experience in Supply Chain Management especially in Order To Delivery processes and systems
  • Proficiency in developing prototype software applications using Java (preferred), C/C++, or similar languages and frameworks
  • Project management experience

The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.

Sponsorship may be available for this position.

Ford Motor Company is 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.


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