Senior/Middle Data Scientist Offline

Kernel is seeking a talented expert Data Scientist to address crucial challenges in agricultural science. We specialize in developing agricultural practices and continually explore innovative solutions to optimize production and enhance crop yields. Our Data Science team is actively engaged in solutions for assessing field potential and factors impacting yields. We're now seeking a professional to join us in further developing, maintaining, and implementing these models.

Why choose Kernel:

- Opportunity to work on impactful projects influencing agriculture and industry development.

- Ability to implement innovative solutions and contribute to solving real-world problems.

- Flexible working conditions with the option for a hybrid schedule.

- Collaborate with a team of professionals dedicated to knowledge-sharing and success.

Work tasks:

We possess unique data about our fields and the technologies used on them. The primary challenge for agribusinesses is maximizing profits from the field. Using this data, we aim to understand:

- Limiting factors for yield on each field.

- Strategies to maximize profit.

- Evaluation of factors affecting yields, providing optimal approaches to agronomists for each field.

Key aspects:

- Position for a Data Scientist with 2 years of experience and higher education.

- Middle-senior data scientist role.

- Proficiency in Python, utilizing libraries such as pandas, scikit-learn, shap, and others.

- Experience in regression, classification, and clustering problem-solving.

- Competence in data analysis and processing, including cleaning and preparing data for modeling.

- Fluency in English.

- Ability to explain model results, conduct error analysis, and comprehend business requirements.

- Documentation maintenance capability.

- Experience with MySQL, Git.

Will be a plus:

- Experience in an agricultural or IT company.

- PyTorch

- MongoDB

- Docker familiarity.

- Explainable AI knowledge.

- Familiarity with Geopandas, GIS, or Google Earth Engine.