AGCO is a global leader focused on the design, manufacture and distribution of agricultural machinery and infrastructure. As a Fortune 500 company and one of the global leaders in agricultural equipment manufacturing, we have an extensive network of over 9,200 dealers and serve more than 140 countries. While headquartered in Duluth, Georgia, AGCO has manufacturing facilities all over the world creating and distributing their full-line of products, including Challenger, Fendt, GSI, Massey Ferguson, and Valtra.

In our AGCO journey towards customer centricity and digitalization, the necessity for maintaining high quality and actionable customer data is a key success factor. Furthermore, it is important to enable intelligent decision making by providing actionable insights to marketing, sales and partners.

As a data scientist you will work with busines and IT stakeholders to identify potential for intelligent solutions. You will create smart algorithms to identify and fix data quality issues, you will develop descriptive, diagnostic, predictive and prescriptive solutions in the customer data space to enable customer centric, smart decision making.

You will be part of the global customer data and analytics team delivering a best-in-class service to the organization including design and operation of artificial intelligence in the customer MDM solution, data quality and completeness reporting, definition of data quality standards, definition and implementation of data cleansing rules and algorithms and advanced customer analytics.

What You Will Do:
• Lead the implementation of end-to-end analytics use case implementation from requirement identification, business case calculation, proof of concept, implementation, testing and post go live support and roll-in
• Work closely with business (e.g. sales and marketing) and IT stakeholders to identify business requirements for customer data and analytics
• Provide actionable insights to business stakeholders derived from descriptive, diagnostic, predictive and prescriptive analytics
• Implement end to end customer analytics use cases from design, to development, to deployment
• Act as a change agent to enable data driven decision making in the organization
• Discuss data quality requirements with the data source owners
• Communicate your results to the business using rich visualization
• Support training and roll-in of tools that our team developed

What You Will Bring:
• Master’s degree in mathematics, physics, economics, computer science or similar
• At least six years of experience as a data scientist
• Experience in analytical model development and analytics deployment
• Hands-on experience with coding in at least one of the following open source languages languages: Python, R, Scala
• Excellent written and spoken communication in English
• Hand on expertise with data visualization and reporting tools (e.g. Tableau)
• Experience in SAFe agile
• Hands-on knowledge of cloud providers (Azure, google, AWS) or hands-on knowledge of big data frameworks like SPARK