Data Science Intern for Industry Forecasting Job

  • AGCO
  • Neuhausen am Rheinfall, SH, Switzerland
  • 09/09/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

AGCO (NYSE: AGCO) is a global leader in the design, manufacture and distribution of agricultural solutions. Our portfolio of international brands, including Challenger®, Fendt®, GSI®, Massey Ferguson® and Valtra®, provides smart and effective agricultural solutions to farmers around the world – including a full line of tractors, combine harvesters, hay and forage equipment, seeding and tillage implements, grain handling, seed processing and animal protein production systems. With global sales of approximately USD 9.4 billion in 2018, AGCO’s international team of over 21,000 employees work together to deliver high-tech solutions for farmers feeding the world. Join us as we bring agriculture into the future.

Job Title: Data Science Intern for Industry Forecasting

For our EME Headquarters based in Neuhausen am Rheinfall, we are looking for an Intern as:

Data Science Intern for Industry Forecasting 100%

The internship will be based at our European Headquarters, Neuhausen, Switzerland for a period of 6 months. Preferred start date 1st October 2019 or as soon as possible.

Job Summary:

The central forecasting function is essential for fact based decision making and optimization in various areas such as supply chain. As a Data Science Intern for Industry Forecasting you will support business with the application of machine learning and statistical techniques to accurately forecast relevant KPI's. Your main focus will be the enhancement and development of forecasting models and their integration with business applications. You will be embedded into a team of talented data scientists from various areas and will closely collaborate with business to translate business needs into data science problems. This is an excellent opportunity for you to further develop your data science skills by applying them to real world business problems in a dynamic industry.

Key Responsibilities:

As a data science intern for demand forecasting you will:

  • closely collaborate with business to understand business forecasting needs and translate them into analytical forecasting problems
  • identify, integrate and prepare relevant data sources
  • enhance existing models and develop new statistical or machine learning based forecasting models
  • apply statistical analysis to detect outliers and anomalies
  • identify demand drivers
  • develop a framework to continuously monitor, enhance or re-train forecasting models
  • implement models into an AWS based data science platform and integrate them into business applications
  • visualize the results and present them to various business stakeholders and management

Requirements / Minimum Qualification:

To apply for this position you should have the following qualifications:

  • Bachelor's degree in mathematics, statistics, economics, engineering, data science or similar
  • Expert knowledge of R or Python
  • Expert knowledge in ARIMAX and other statistical forecasting methods
  • Excellent communication and presentation skills and team work mindset

You can impress us if you additionally have:

  • A background in agriculture, automotive or similar
  • Knowledge in machine learning methods for forecasting (e.g. LSTMs)
  • Experience with Apache Spark and cloud platforms (e.g. AWS, Azure)

Minimum Level of Education Required:

  • Bachelor’s Degree

Your Perspectives:

At the European Headquarters in Switzerland, the location is based approx. 45 minutes outside of Zurich, with easy access by public transport.

Employee development and growth is part of our company culture. If you are looking for an opportunity to work in an inspiring multinational environment for a leading global player of agricultural solutions, we look forward to receiving your application in English language (incl. your CV, motivation letter and earliest possible start date) via our career website: http://careers.agcocorp.com/. For more information about AGCO, please visit www.AGCOcorp.com.