Data Scientist

Ford Motor Company


Date: 2 weeks ago
City: Chennai, Tamil Nadu
Contract type: Full time
Job Description

  • Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions
  • Use statistical methodologies leveraging 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 through dashboards or web applications
  • 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 in a quick turn around time
  • Evaluate new tools and technologies to improve analytical processes


Efforts will focus on the following key areas:

  • Domain – Supply Chain , Logistics
  • Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
  • Data Mining & Text Mining, NLP, Gen AI
  • Operations Research
  • Time Series based forecasting modeling
  • Demand Modeling
  • Market Research
  • Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2)
  • Experience using tools in BI, ETL, Reporting /Visualization/Dashboards
  • Programming experience in languages like Python with the understanding of object-oriented programming strongly desired
  • Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management.


Responsibilities

  • Soft Skill
  • Good Analysis and problem-solving skills.
  • Ability to get Insights from Data, provide visualization, and story-telling.
  • Flexibility to explore and work with newer technologies and tools.
  • Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.
  • Excellent collaborative communication and Team skills


Qualifications

 QUALIFICATIONS

  • Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
  • 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
  • Experience in Python , SQL , GCP or any other cloud platforms highly desired


Educational Qualification:

Bachelors/Masters/PhD in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative

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