October 12, 2021
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Hamburg, Germany
October 12, 2021
Apply NowJob description
About E-FARM
E-FARM.COM is a fast-growing AgTech (Agricultural Technology) company, facilitating online-based farm machinery transactions on a global scale. The platform connects farmers, equipment dealers, inspection companies, financial institutions, logistics providers, and insurance companies to eliminate current trading barriers.
E-FARM.COM’s competitive edge originates in a data-driven approach to exploiting market inefficiencies across borders and industry segments. Having just closed a financing round with a leading farm equipment manufacturer and a tech-focused Swedish venture capital company, E-FARM.COM is looking for motivated and open-minded talents to further scale its operations.
Your challenge
E-FARM.COM is a fast-growing AgTech (Agricultural Technology) company, facilitating online-based farm machinery transactions on a global scale. The platform connects farmers, equipment dealers, inspection companies, financial institutions, logistics providers, and insurance companies to eliminate current trading barriers.
E-FARM.COM’s competitive edge originates in a data-driven approach to exploiting market inefficiencies across borders and industry segments. Having just closed a financing round with a leading farm equipment manufacturer and a tech-focused Swedish venture capital company, E-FARM.COM is looking for motivated and open-minded talents to further scale its operations.
Your challenge
- Develop dynamic pricing models for agricultural machines (e.g. tractor, combine harvester, etc.)
- Build up image recognition models for agricultural machines
- Develop machinery recommendation systems
- Construct, test and maintain machine learning pipelines
- Ensure designed architecture fully supports defined business requirements
- Discover opportunities for new Data Science projects
- Closely interact with our Data Engineers and IT team
- A degree in Computer Science, Mathematics, Statistics or Business Informatics or similar
- Several years of relevant work experience in the Data Science field
- Excellent programming skills in Python: e.g. numpy, scikit-learn, pandas, etc.
- High data pre-processing skills in Python
- Excellent SQL skills
- Know-how with time series/forecasting
- Experience with cloud platform (GCP, AWS or Azure) is a plus
- Knowledge in Big Data Techniques (Hadoop, Spark, etc.) is a plus
- Fluency in English, German is a plus
- The chance to grow with us and to build a successful company together
- Working with state-of-the-art technologies and tools
- A well-equipped workplace with a company laptop, monitors and headphones
- An appreciative atmosphere with fast decision-making processes, in which your ideas are always welcome
- An open, supportive and fun team from different nations: With us, you will always find someone to help you when questions arise or simply to challenge you to a game of FIFA and Ping Pong
- A welcoming office in the heart of Hamburg
- A monthly company meeting with pizza and beer to share successes, challenges and progress
- A special annual company trip
- Two friendly office dogs and lots of fun at work
