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Data Scientist – Python, GCP, Data Mining, Machine Learning, Computer Vision

UPSChennai, Tamil Nadu, IndiaPosted 18 May 2026

This Data Scientist role at UPS focuses on building and implementing predictive and prescriptive analytics models for large-scale logistics operations. The position involves designing robust data pipelines, deploying generative AI solutions, and operationalizing machine learning models. Candidates are expected to have expertise in Python, SQL, and various machine learning techniques including computer vision. The role requires experience in productionizing AI projects within cloud environments and communicating insights to diverse stakeholders.

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Experience

5+ years

Function

Research

Work mode

Onsite, India

Company

Tier 2

What you will work on

This Data Scientist role at UPS focuses on building and implementing predictive and prescriptive analytics models for large-scale logistics operations. The position involves designing robust data pipelines, deploying generative AI solutions, and operationalizing machine learning models. Candidates are expected to have expertise in Python, SQL, and various machine learning techniques including computer vision. The role requires experience in productionizing AI projects within cloud environments and communicating insights to diverse stakeholders.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid role at a massive global organization with well-defined technical scope and clear senior-level requirements.

Clear, well-defined responsibilities, specific tech stack, and articulated expectations for the data science role.

Must haves

  • 5+ years of relevant experience in applied data science
  • Expertise in Python, Pandas, and SQL
  • Experience in Machine Learning and Deep Learning
  • Proven experience launching large-scale AI projects into production
  • Demonstrated experience in Cloud-AI technologies
  • Experience with Computer Vision and data pipelines

Tools and skills

pythonpandassqldata miningsupervised learningunsupervised learningdeep learningcomputer visioncloud-ailinuxunixwindows

About the company

Global Fortune 500 logistics firm with significant technical operations, though not a pure-play tech company.

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