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Deputy manager @ Ford

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 Deputy manager

Job Description

  • Lead development of robust short / mid / long term industry and segment forecasts for specific regions around the world
  • Conduct analysis of various factors that influence vehicle sales as well as Powertrain adoption (industry, macroeconomic, consume behavior, demographics, competitive cycle plan, regulatory trends etc.)
  • Develop insightful reports and dashboards on various KPIs impacting vehicle sales and Powertrain growth using new age tools
  • Develop new and/or enhance existing analytical tools and processes to improve volume-forecasting
  • Support Business and Sales Planning Analytics activities and interactions with business customers in region
  • 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim.
  • 5+ years automotive experience in Marketing, Finance, Planning, Product Development and/or Sales
  • Experience with statistical forecasting and / or developing statistical / Mathematical / AI models as well as hands on experience working on AI tools and cloud technologies
  • Demonstrated ability to interface with personnel in diverse markets and/or functions as well as effectively and succinctly present analysis and recommendations to a diverse audience
  • Segmentation forecasts
  • Segmentation forecasting models for key markets
  • Short / mid-term forecasts
  • Comprehensive segmentation analysis for key markets identifying drivers and trends
  • Development/Maintenance of Sales Dashboards

Job Classification

Industry: Auto Components
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Machine Learning
Employement Type: Full time

Contact Details:

Company: Ford
Location(s): Chennai

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Keyskills:   Data analysis Sales planning Sales Analytical Machine learning Financial planning Forecasting Analytics Automotive Python

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Ford

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