We are looking for a Data Scientist to expand our data team who can bring the most interesting pieces of data to life!

Data plays a crucial role for Soil Capitals innovation and growth. At Soil Capital we are collecting a relevant and genuine dataset on farming practices. We use this dataset to support the transition to Regenerative Agriculture from our farmers and corporate clients.

The Data team’s main mission is to bring more data driven insights to the Soil Capital teams and clients.

The Data Scientist will identify new methods to leverage and expand our collected farmer data to support Soil Capital’s mission. The role is exploratory and hands-on and will bring new innovative elements to our product, as well as to our farmers, partners and corporate clients.

• Play a leading role in creating value through data for Soil Capital. Projects here include, but are not limited to creation of agronomic insights for our internal agronomists and farmers, developing prediction and recommendation engines, computing environmental KPIs for corporate clients, …

• In the Data Science team we are exploring advanced ways to capitalize on our unique farm management dataset to provide extra value to our farmers, corporate clients and colleagues. The main data we use for this is our own dataset, combined with available third party data (governmental datasets, remote sensing products, map based data, …). 

• The extra value we are looking for is for example integrating new science, new environmental KPIs, without adding encoding burden to our farmers, but based on opendata or satellite imagery. 

Your main responsibilities will be to:

• Bring innovation to Soil Capital through data science and machine learning

• Perform technical data scientific work leading to data insights for our customers across the agri-food value chain. This will require being able to bridge the gap between science, agronomy and data, going beyond linear data reporting by fusion with machine learning, opendata, …

• Increase the use of our dataset to solve complex problems, including the empowering of other Soil Capital team members. 

• Build, test, and maintain data engines for prediction, recommendation, scenario analysis and other tasks, in close collaboration with Soil Capitals stakeholders.

• Work in multidisciplinary teams to identify and challenge needs among clients and internal teams at Soil Capital. Translate these needs into innovative data products. 

• Understand the value of our dataset as well as data gaps that if filled would create extra value to our users

The work of the data scientist will find its place in various use cases, such as reports for internal and external usage, protocols and methods to be included in our apps, reporting dashboards, presentations, cross-team and operational collaboration for the mySoilCapital programme.

This job will contain variation, ranging from fully exploratory projects to solving specific business problems through data. Key to this role is the ability to combine relevant scientific progress from academic sources with our farmer and general business needs in order to provide extra value to our clients. Communicate insights from complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive

• You have a heart and a fascination for agriculture and are committed to make a sustainable difference in this field.

• You are a candidate with MSc or equivalent level degree and proven experience in environmental data science, for instance agronomy, biology, geography, climatology, or related environmental sciences

• A successful candidate has a hands-on mindset, and is comfortable taking initiative and leading innovative developments, providing solutions for short, mid or long term business needs.

• You are able to digest scientific literature, derive insightful data methods from it and incorporate that in Soil Capital products

• This role will require strong data science skills in Python, machine learning is a plus

• Knowledge of PostgreSQL is a plus

• Candidates with experience with processing remote sensing data, or geospatial dataset have a plus

• Fluent in English

In order to find the perfect match, we have set up a comprehensive hiring process to give you the opportunity to get to know all the key contributors to the role. Between each step, you’ll always receive feedback:

1. People interview (30 min) with Charlotte, Talent Acquisition Specialist, to get to know you more

2. First interview (45 min) with Auxi (Lead Data Collection) to go much more in depth into the role

3. Technical interview (1 hour) to evaluate the technical aspects with Jelle (Data Team Lead) & Victor (Impact Researcher) - you will receive more details during the interviews

4. Last step interview (30 min) with Guillaume, COO

Be part of a supportive, dynamic team that celebrates successes together and works toward a shared mission of transforming the future of agriculture!