Data Scientist

For our Customer Service Team at our bavarian location Marktoberdorf we are looking for a

**Data Scientist (M/F/d)**

**Ref.: 91420**

At Fendt, you will work for the premium supplier and innovation driver in the agricultural machinery industry. As a reliable partner for our farmers, you will help master challenging situations in the best possible way. We see ourselves as dynamic decision-makers and always find a solution. To do this, we use state-of-the-art technologies, ranging from augmented reality to artificial intelligence. We are proud to be considered the number 1 in service & support for agricultural technology. With us, you can expect a strong team spirit and the satisfaction of our customers.

**What You Will Do**
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making
- Engages with business leaders and functional domain experts to map business ideas & opportunities into analytical use cases and defines an implementation strategy
- Uses statistical analysis and machine learning techniques to carry out descriptive, diagnostic, predictive and prescriptive analytics use cases
- Determine appropriate analytics technique for addressing classes of business problems. Assesses feasibility of analytics use cases in POC studies
- Maps analytical insights into actionable recommendations. Uses data visualizations and story telling to explain analytical KPI‘s and to make them relevant to the business
- Acts as a change agent to drive data driven decision making within the organisation
- Plans & manages activities of data science teams and project tasks
- Possesses clear understanding of data mining techniques, ranging from regression analysis, cluster analysis, decision trees, neural networks and Bayesian methods to optimization and stochastic analysis
- Works with cloud & data engineers to deploy & integrate analytics based solutions using scalable, performant and cost efficient machine learning pipelines

**What You Will Bring**
- Completed university studies (Bachelor/Master)
- Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and provide innovative business solutions
- Ability to work independently as well as part of a team and communicate analytics-related business value towards stakeholders (data story telling)
- Advanced analytics tools (Python, R, SAS, SQL etc.) to carry out statistical and machine learning analysis
- Use big data computing frameworks for processing of large data volumes (AWS Glue, EMR and Sagemaker)
- Ability to create repeatable, automated processes & data pipelines
- Familiar with cloud technologies for model development and deployment
- Oral and written communication skills in both German and English

**A Plus If You Have**
- A work background from the Management Consulting sector with exposure to the Agriculture Business
- Problem/situation analysis
- Ability to identify and seek needed information/research skills
- Analytical thinking skills and statistical knowledge
- Technical expertise, moreover mathematical skills

**What We Offer**

We welcome you to our appreciative, open corporate culture - with a great team spirit and good work atmosphere. We offer attractive, fair remuneration, with additional insurance and pension schemes. We attach great importance to supporting you in your individual work-life balance - your health is important to us. As part of our Corporate Health Management, you will benefit from intensive company medical care, advice on social matters, numerous sports programs, and much more. Your ideas and your personal and professional development are important to us. We look forward to developing your full potential together with you and shaping the future of sustainable agriculture.

**Fendt - A brand of the AGCO Corporation.**

Our long-standing tradition and passion for agriculture make Fendt a strong brand. The Fendt brand has been part of the US global player since 1997.

Experience our global diversity and enterprising spirit. Let's work together to bring a positive change to agriculture and help us develop innovative technologies that will support us in mastering new challenges such as the world’s growing population in the coming years. Help us shape the agriculture of tomorrow and become part of our team.