Time since we first saw it
Day 14
Similar jobs usually come down between day 8 and day 60.
At AGCO, jobs usually come down by about day 25.
From 11,783 similar postings that came down, and 18 of AGCO’s. Coming down is not always a hire.
Pune, MH, IN
Live, first seen by us 14 days agoExtract, clean, and analyze large datasets from telemetry, test fleet and test bench sources
Identify patterns and trends to inform product development and design decisions
Develop machine learning models to predict maintenance needs and optimize machine settings
Continuously develop, evaluate and refine analytical models for accuracy and scalability
Work with cross-functional teams on data-driven decisions and engineering solutions
Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data
Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns
Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
Work closely with cross-functional teams to drive data-driven decision-making
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 14
Similar jobs usually come down between day 8 and day 60.
At AGCO, jobs usually come down by about day 25.
From 11,783 similar postings that came down, and 18 of AGCO’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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 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).
- 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
Complete your application on careers.agcocorp.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of 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.
Join us as we bring agriculture into the future and apply now!
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
AGCO is proud to be an Equal Opportunity Employer.
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Pune, MH, IN
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