ANALYTICS MODELER - STATISTICIAN
Ford Motor
Chennai
7d ago

Job Description & Qualifications

GDIA Mission and Scope-

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-

world problems using Statistics, Econometrics, Machine Learning, Big Data, and Optimization. The goal of GDI&A is to drive evidence-

based decision making by providing insights from data.

Roles & Responsibilities

  • Develop statistical methodologies and deploy analytical tools to support different business initiatives
  • Continual enhancement of statistical techniques and their applications in solving business objectives
  • Compile and analyze the results from modeling output and translate into actionable insights
  • Acquire and share deep knowledge of data utilized by the team and its business partners
  • Participate in global conference calls and meetings as needed and manage multiple customer interfaces
  • Execute analytics special studies and ad hoc analyses
  • Evaluate new tools and technologies to improve analytical processes
  • Set own priorities and timelines to accomplish projects (accountability for project deliverables)
  • Further development of relevant analytical tools and processes in close cooperation with the global teams, especially with regard to European aspects
  • Definition of new tasks and the necessary requirements for them according to specifications
  • Identification and evaluation of new data sources, evaluation of suppliers and estimation of the potential use of the data
  • Presenting results including preparing recommendations for management decisions
  • Efforts will focus on the following key areas :

  • Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
  • Data Mining & Text Mining
  • Time Series based forecasting modeling
  • Customer Segmentation Cluster & Factor Analysis
  • Customer Relationship Management Analytics
  • Demand Modeling
  • Statistical Scoring models to be used in Risk / Marketing domains
  • Market Mix Modeling
  • Structural equation modeling for identifying accelerators of customer satisfaction and loyalty
  • Key behaviors :

  • Enthusiastic and self-motivated, with ability to lead projects proactively
  • Meticulous attention to detail, with an overall passion for continuous improvement
  • Innovative and creative, with a logical and methodical approach to problem solving
  • Credible and articulate, with excellent communication, presentation and interpersonal skills
  • Ability to multi-task and manage competing priorities
  • Requirements

  • Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
  • Experience in Marketing, Sales, & Service, Customer Satisfaction, and applying analytical methods in the areas of pricing, marketing, and consumer insight
  • Candidates should have experience in handling databases, metrics, methods and processes as well as data mining and visualization
  • Candidates should have profound experience in the application and implementation of advanced optimization methods and programming languages
  • Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
  • Good technical depth with strong analytical / programing skills and ability to apply technical knowledge to do research
  • Candidate should possess strong communication skills
  • R / SAS / Python / Matlab / Alteryx / Qlikview
  • Entity / Organization FGBS- Ford Global Business Services

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