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india Analytics Modeller

  • Location
    (INDIA) and Chennai
  • Job Reference
  • Functional Area/Experience
    Engineering / 1 Year

Job Description & Qualifications

Welcome to Ford

At Ford in India, we value diversity, teamwork and initiative. We go to great lengths to help our employees reach their career potential and enjoy a work-life balance.

Job Description & Qualifications

  • Support the development and delivery of analytic models using skills such as data acquisition and management, algorithm design, and model development & refinement.
  • Research and apply quantitative techniques from fields such as statistics, econometrics, optimization, and machine learning toward the solution of important business problems from many areas of the automotive and mobility industry
  • Support Complexity business team with insights gained from analytics and modeling
  • Use large datasets to find opportunities of process optimization and improve efficiency in varieties of processes and systems.
  • Strong experience of formulating problems using variety of data mining/transformation methods, creating algorithm and simulations to introduce and verify effectiveness of different courses of action.
  • Acquire deep understanding of the business problems, define problem scope from business requests, and translate business requirements to analytical projects. Collaborate across teams, track project progress, and communicate between technical and business groups. Collect feedback from business users and implement with technical teams. Translate data based insights into business actions and results.
  • Work effectively with a wide range of stakeholders and functional teams.
  • Interpret results and communicate them to technical and non-technical audiences

Auto req ID: 39530BR

Education Qualifications


No. of years of experience

1 to 3 years

Job Skills/Competencies Required

  • 1+ years of Auto industry related work
  • Business knowledge:
    • Automotive marketing industry experience
  • Computer Skills:
    • Significant experience with Python
    • Experience using ML libraries & Deep Learning tools (TensorFlow, Caffe, Scikit-Learn, Scipy, Pandas, numpy, Torch, etc)
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