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Data Scientist I

Agco Corporation
Pune
3-7 Years

This job is no longer accepting applications

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  • Posted 2 months ago
  • Over 100 applicants

Job Description

  • Collaborate with the AI Delivery Owner and business stakeholders to identify and prioritize actionable insights that drive informed decisions
  • Select the most suitable AI/ML methodologies for various business problems and assess analytics use cases through proof-of-concept studies
  • Translate business opportunities and hypotheses into actionable analytics tasks by defining computational workflows and data modeling strategies
  • Develop AI/ML solutions aligned with business goals, ensuring statistical integrity and implementing model accuracy tracking and lifecycle management
  • Act as a change advocate by promoting the adoption of data science practices and engaging stakeholders to build awareness and support for analytics initiatives
  • Bachelor's degree with 4+ years of overall IT experience
  • 3+ years of hands-on experience with advanced analytics tools such as Python, R, SAS, and SQL
  • Experience with big data frameworks and processing tools (e.g., AWS Sagemaker, EMR, Databricks)
  • Familiarity with cloud platforms for development, deployment, and scaling of machine learning models

More Info

Job Type:
Permanent Job
Industry:
Machinery Manufacturing
Role:
Data Analyst
Function:
Analytics/Business Intelligence
Employment Type:
Full time
Open to candidates from:
Indian

About Company

Agco Corporation

AGCO is a global leader in the design, manufacture and distribution of smart solutions for sustainable agriculture. Our portfolio is the most comprehensive in the ag industry, including a full line of tractors, combine harvesters, hay and forage equipment, seeding and tillage implements, grain storage and protein production systems. Our global team of more than 23,000 employees is passionate about serving the world's farmers and helping them sustainably feed the world’s growing population.

Job ID: 124981247

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Last Updated: 12-03-2026 03:34:37 AM
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