Data Scientist (Smart Agriculture)
Kubota Technology Innovation Europe department
The KTI-EU organization is a newly established department focusing on digital solutions and systems development from both a fundamental and applied research perspective. It bridges the gap between the market research, collaborations and technology mapping (driven by our Innovation Center Europe) and the commercial development done by our R&D centers, like Kubota Research and Development Europe and Kverneland Group. The KTI department centers itself on the European market but in strong collaboration with the global organization and other regional offices e.g., KTI-SV (Silicon Valley, USA) to align and coordinate global initiatives.
In this context and in order to strengthen our team, we are looking to recruit a Data Scientist. This activity is related to analyzing agricultural data, developing predictive models and providing actionable insights to drive informed decision-making in the field of smart agriculture. Not only just analyzing the data, but also be responsible for planning and executing field experiments, including how to collect the data (when, where, how often, with which sensor, what). Therefore, in addition to agricultural knowledge, sensors knowledge like RGB, multi/hyper-spectral, thermal, etc is also required. The contribution is broad, including agricultural crop monitoring, machine monitoring, autonomous driving, monitoring of quality of agricultural work while working with tractors and agricultural implements. This is a critical role for the success of our technology advancements pushing the boundaries of productivity and sustainability.
,
Responsibilities
Define and design experiments from data collection to evaluation and support actual data collection in fields
The KTI-EU organization is a newly established department focusing on digital solutions and systems development from both a fundamental and applied research perspective. It bridges the gap between the market research, collaborations and technology mapping (driven by our Innovation Center Europe) and the commercial development done by our R&D centers, like Kubota Research and Development Europe and Kverneland Group. The KTI department centers itself on the European market but in strong collaboration with the global organization and other regional offices e.g., KTI-SV (Silicon Valley, USA) to align and coordinate global initiatives.
In this context and in order to strengthen our team, we are looking to recruit a Data Scientist. This activity is related to analyzing agricultural data, developing predictive models and providing actionable insights to drive informed decision-making in the field of smart agriculture. Not only just analyzing the data, but also be responsible for planning and executing field experiments, including how to collect the data (when, where, how often, with which sensor, what). Therefore, in addition to agricultural knowledge, sensors knowledge like RGB, multi/hyper-spectral, thermal, etc is also required. The contribution is broad, including agricultural crop monitoring, machine monitoring, autonomous driving, monitoring of quality of agricultural work while working with tractors and agricultural implements. This is a critical role for the success of our technology advancements pushing the boundaries of productivity and sustainability.
,
Responsibilities
Define and design experiments from data collection to evaluation and support actual data collection in fields
- Collecting, cleaning, and analyzing agricultural data to identify patterns and trends
- Building predictive models to optimize crop yield, field operation and farm management
- Utilize statistical analysis and machine learning techniques to derive insights from agricultural data.
- Reflect the results of experimental planning and sensing data analysis in the sensor system
- Research relevant papers, formulate a hypothesis, and explore the best approach
- Technical information collection, reporting, and evaluation of the AI integrated agricultural products, related sensors.
- Work within joint research projects with external local and international partners.
- Master’s or Ph.D. in data science, agricultural engineering, or a related field
- Proficiency in statistical analysis, machine learning, and data visualization
- Experience with agricultural data analysis and understanding of farming practices
- Strong programming skills in languages such as Python, R, or similar
- Fluent in English
- Communication skills for requirement definition or alignment of specs with global stakeholders by documentation, design reviews, etc.
- Experience of mobile sensing data analysis
- Experience of sensor development and sensors knowledge such as RGB, multi/hyper-spectral, thermal sensors
- Italian, Spanish or French language proficiency
- Experience of collaboration with team members from various backgrounds.
- Experience in agricultural mechanistic modeling as well as statistical modeling.
- Experience with GIS (Geographic Information Systems)
Post Date
2025-02-08
Job Type
-
Employment type
Full-time
Category
Analyst
Level
Mid-Senior
Country
Netherlands
Industry
Manufacturing
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