Data Scientist

AGCO Corporation; Pune District; On-site; INR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health care and wellness plans

Flexible work options

Diversity and inclusion programs

Job summary

AGCO Corporation is seeking a Data Scientist in Pune, India. The role involves managing and analyzing large datasets to support engineering and AI applications in agricultural machinery. Candidates should have 3+ years of experience with structured data and proficiency in Python, SQL, and machine learning. The position offers a diverse workplace environment, emphasizing inclusion and development opportunities, with benefits including health care and flexible work options. Join us to make a positive impact in feeding the world.

Qualifications

• 3+ years of experience working with structured data, including cleaning and manipulating.
• Proven experience with statistical models or machine learning.
• Strong proficiency in Python and SQL.

Responsibilities

• Extract, clean, and analyze large datasets for engineering applications.
• Identify patterns and insights in data to inform product development.
• Develop machine learning models for predictive maintenance.

Skills

Data Management and Analysis

Machine Learning Applications

Statistical Models

Python

SQL

Data Visualization

Tools

PySpark

scikit-learn

TensorFlow

Tableau

Job description

Data Scientist

Your Impact

• Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
• Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
• Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
• Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
• Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.

Your Experience And Qualifications

• 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
• Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
• Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
• Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
• Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).

Your Benefits

• GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique!
• ENTERPRISING SPIRIT – Every role adds value. We’re committed to helping you develop and grow to realize your potential.
• POSITIVE IMPACT – Make it personal and help us feed the world.
• INNOVATIVE TECHNOLOGIES – You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.
• MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work options.

Your Workplace

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

AGCO is proud to be an Equal Opportunity Employer.