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Ford Motor Company Senior Analyst in Chennai, India

  • Candidates should have significant hands-on experience with analytical projects using AI/ML techniques.

  • Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests

  • Hands-on experience in Predictive and Prescriptive Analytics

  • Good exposure to various techniques like linear/logistic regression models, discrete choice models, time-series models, dimensionality reduction, and unsupervised learning techniques

  • Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research.

  • R / SAS / Python/SQL or other quantitative analysis programming skills

  • Should have strong hands-on experience in GitHub and GCP tools such as Big query, vertex AI, data proc, ETL in GCP, deployment and GenAI, artifact registry in GCP.

  • 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

  • Collaborate with various stake holders to create/improve data products to meet business objectives.

  • Support and share knowledge with other team members for cross functional collaboration.

  • Evaluate new tools and technologies to improve analytical processes

  • Set own priorities and timelines to accomplish projects (accountability for project deliverables)

  • Need 4 years Bachelor or Masters in mathematics/Statistics/Applied Mathematics/Applied Statistics.

  • 2 to 3 years experience in AL/ML techniques and GCP tools with strong SQL, R and Python knowledge.

  • Good exposure to various techniques like linear/logistic regression models, discrete choice models, time-series models, dimensionality reduction, and unsupervised learning techniques.

Requisition ID : 25393

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