Data Scientist

AGCO Corporation is seeking a detail-oriented and business-focused Data Scientist to support its growing Business Intelligence function. The role develops dashboards, reporting tools, predictive models, and actionable insights while collaborating with business leaders, IT, Cloud teams, and other stakeholders to drive data-informed decisions.

What you'll do:

• Partner with business leaders to understand KPIs, performance drivers, and reporting needs
• Develop and maintain dashboards, scorecards, and automated reporting tools to support daily decision-making
• Conduct deep-dive analyses to identify trends, operational gaps, and opportunities for improvement
• Build predictive and descriptive models that enhance business forecasting and performance measurement
• Translate data findings into concise, business-friendly insights, and recommendations
• Support data governance efforts by ensuring data accuracy, consistency, and reliability across systems
• Collaborate with IT and Cloud teams to enhance data pipelines and improve BI data availability

What they're looking for:

• Bachelor's degree in data science, Business Analytics, Statistics, Computer Science, Agriculture, or related field. Or M.S. degree with a strong data analysis background
• Experience in Business Intelligence, analytics, or data science roles supporting business operations
• Proficiency with BI tools such as Tableau or Domo
• Strong SQL skills and experience extracting, cleaning, and transforming data from multiple sources
• Experience using Python or R for statistical analysis or machine learning
• Ability to explain complex analytical concepts in a clear and concise manner to business stakeholders
• Strong problem-solving skills and attention to detail
• 1 - 2 years professional experience
• Experience working in Databricks (Lakehouse) environments, including Delta tables, Databricks/Spark SQL, notebooks, and scheduled jobs/workflows
• Ability to integrate and model data from multiple source systems (e.g., ERP/finance, CRM/sales, operations/field systems), including SQL databases, APIs, and flat files
• Familiarity with ETL/ELT patterns in a modern lakehouse stack and effective cross-team collaboration with data engineering on pipelines and data quality
• Knowledge of forecasting, segmentation, and statistical analysis techniques

Benefits:

• Health care and wellness plans
• Dental and vision plans
• 401(k) Savings Plan with company match
• Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price
• Paid holidays and paid time off
• Health savings and flexible spending accounts
• Reimbursement for continuing education
• Life insurance and other supplemental insurance plans