Mid-Level Data Scientist – Image Geoprocessing, GIS

• Develop and implement machine learning models and statistical techniques applied to agribusiness challenges.
• Analyze geospatial, agronomic, climate, operational, and market data.
• Process satellite imagery, aerial photographs, and other remote sensing sources.
• Develop models for classification, segmentation, forecasting, pattern detection, and insight generation.
• Create and optimize geoprocessing algorithms to automate data analysis and processing.
• Use GIS tools to analyze, interpret, and visualize spatial information.
• Integrate data from APIs, databases, files, geospatial platforms, and external sources.
• Structure data preparation, validation, and enrichment processes.
• Support the development of indicators, dashboards, thematic maps, and analytical products.
• Evaluate the quality, performance, and applicability of developed models.
• Document methodologies, assumptions, results, and analytical limitations.
• Prepare reports and presentations featuring key results and recommendations.
• Work collaboratively with technology, data, business expert, and client teams.
• Translate business needs into analytical hypotheses and data-driven solutions.
• Support the deployment and evolution of models in production environments.
• Apply data science, geoprocessing, and spatial analysis to develop solutions aligned with client needs.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Geography, Agronomy, Geoprocessing, or a related field.
• Candidates with other educational backgrounds may also be considered if they have experience compatible with the challenges of the role.
• Experience developing machine learning models or conducting statistical analyses.
• Proficiency in Python or R for data processing, modeling, and analysis.
• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or equivalent tools.
• Experience with geospatial data, spatial analysis, or geoprocessing.
• Familiarity with tools such as QGIS, ArcGIS, or equivalent platforms.
• Knowledge of SQL and relational databases.
• Ability to prepare, process, validate, and analyze diverse datasets.
• Ability to interpret results and communicate conclusions clearly.
• Knowledge of model evaluation and validation metrics.
• Strong ability to work collaboratively in multidisciplinary teams.
• Ability to understand business problems and translate them into analytical approaches.

• All Points (points program for airfare and accommodation)
• Medical insurance
• Dental insurance
• Life insurance
• Pet benefits program
• Mobility benefits, including fuel and Uber/99 options
• Flex Reimbursement (glasses, vaccines, education, concerts, and more)
• Meal and/or food allowance
• Birthday off
• Wellhub (formerly Gympass)
• Alelo Club, with discounts at various stores and pharmacies
• 180-day maternity leave
• 30-day paternity leave
• Childcare allowance during the baby’s first year
• Transportation allowance, according to project or area requirements
• Annual bonus program
• Commission for referring new clients
• Global TRAINING AND DEVELOPMENT center offering the latest market content and courses
• Flex Time – dedicated time each week for your professional development
• Mentoring programs with leaders recognized in their fields
• Semiannual performance reviews
• Feedback culture and recurring 1:1 meetings with your manager and team
• Personalized development plan aligned with your goals
• Darwin – global development program for young talent focused on building soft and hard skills
• Grounding – global training program for recently hired professionals worldwide who are beginning their consulting careers
• Induction – international onboarding
• Spinnaker – training focused on strengthening the strategic skills of Managers and Senior Managers