BASF Internship Applied Statistics / Mathematics (m/f/d) in Köln, Germany
Job Field : IT / Information Management
Location : Köln,DEU
Company : BASF Digital Farming GmbH
Job ID : EN58035878ONLE3
BASF Digital Farming GmbH stands for a modern agricultural sector. We are making agriculture smarter and simpler. Our digital solutions allow for fields to be constantly analysed at the field-zone level so that farmers learn more about their crops every day and crop production can be taken to the next level. Our work is equally as innovative as our products: we have a global network and work with agile methodologies in a start-up atmosphere. Join our team!
Learn more about BASF Digital Farming GmbH at https://www.xarvio.com
Agriculture is all about balance. The balance that is crucial to everyone's existence - also applies to our Agricultural Solutions division. We connect innovative thinking with practical action to find the right balance for success - for farmers, agriculture and future generations. With seeds and traits, crop protection and digital solutions, we help farmers produce food more efficiently, protect the land and meet the needs of society.
What you can expect
During your 6 month-internship in our unit Digital Farming Data you will be working on diverse types of data from sources like agricultural fields, soil sampling, weather monitoring and smartphone apps.
You will perform statistical analyses of carefully prepared data sets.
Additionally, you will support exploring and designing a new era of field trial experiments.
Being responsible for building new prototypes, you will identify new product ideas and improve the internal workflows.
You will communicate the results of your work to technical as well as non-technical stakeholders.
Last but not least, you will closely collaborate with internal agronomists and product managers.
What we expect
You are currently studying Applied Statistics / Mathematics or a related field and have an outstanding academic track record.
Through internships or university projects, you have already gained experience in working with complex and diverse data sets.
You have solid knowledge in designing experiments (e.g. RCBD) or trials, spatial statistics (e.g. Kriging), ANOVA as well as mixed models and GLMMs.
Additionally, you are well skilled in programming with R or Python and are able to handle data stemming from csv-files, data bases or web pages.
You are able to express your strong communicational skills fluently in both written and spoken English.
Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
Support of all employees by using different measures to ensure the balance of professional and private life.
Competitive compensation including attractive benefits as well as excellent career opportunities in an international Company.