Senior Data Scientist
Senior Data Scientist
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Job Description
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Kilimo is seeking a Senior Data Scientist with expertise in data analysis machine learning and data engineering specifically in climate and agricultural domains. The ideal candidate will have a strong technical background experience working with environmental and agricultural datasets and a passion for applying data science to real-world challenges in these fields.
Key Responsibilities
Data Science
- Analyze complex datasets from climate weather and agricultural sources to derive actionable insights.
- Develop and validate machine learning models to solve problems like crop yield prediction water usage optimization and climate risk assessment.
- Conduct statistical analyses to support decision-making in sustainable agriculture and resource management.
Data Engineering
- Build and maintain scalable ETL/ELT pipelines for processing large volumes of climate and agricultural data.
- Design data architectures to efficiently store query and analyze structured and unstructured datasets.
- Ensure data quality and consistency through validation cleaning and transformation processes.
Domain-Specific Focus
- Leverage domain knowledge to understand and interpret agricultural and climate data including satellite imagery soil data and irrigation metrics.
- Collaborate with domain experts to design tailored solutions for challenges in climate-smart agriculture.
Research and Development
- Stay updated on the latest advancements in climate and agricultural data science techniques and tools.
- Experiment with innovative approaches to improve model accuracy and robustness for agro-climatic applications.
Requisitos
Technical Skills
- 5 years of experience in Data Science or Data Engineering roles.
- Proficiency in Python and its data science libraries (pandas NumPy scikit-learn).
- Familiarity with GIS tools and libraries (e.g. QGIS rasterio geopandas).
- Experience with machine learning frameworks (TensorFlow PyTorch) and statistical modeling.
- Proficiency in SQL and working knowledge of NoSQL databases.
- Hands-on experience with cloud platforms (AWS GCP or Azure).
Domain Expertise
- Knowledge of climate science agronomy or related fields.
- Familiarity with datasets such as satellite imagery weather data or agricultural production data.
- Understanding of irrigation systems crop modeling and environmental sustainability metrics is a plus.
Educational Background
- Bachelors or Masters degree in Data Science Computer Science Environmental Science Agronomy or a related field.
- Advanced degrees or certifications in climate science data science or machine learning are highly valued.
Analytical and Problem-Solving Skills
- Proven ability to handle complex datasets and solve domain-specific problems efficiently.
- Strong focus on actionable results to support agricultural and environmental objectives.
Preferred Skills
- Experience working with remote sensing data and satellite imagery.
- Knowledge of agro-meteorological modeling or hydrological modeling techniques.
- Proficiency in big data frameworks (e.g. Spark) is a plus.
Commitment to Impact
This role is ideal for professionals passionate about making a difference in climate-smart agriculture and environmental sustainability through data-driven solutions.
Beneficios
- Work in an international company with global expansion.
- Remote work and flexible hours.
- Training program: we support you in pursuing education and skills development in areas that interest you.
- Competitive salary and family health plan.
- Were proud to be recognized as a Great Place to Work for the 4th year in a row!
- Analyze data to help create a future with water available for communities ecosystems and economic development!
Detalles
Nivel mnimo de educacin: Universitario (Graduado)
Required Experience:
Senior IC
Employment Type
Full-Time
