Mid-Level Data Scientist – Image Geoprocessing, GIS

BIP Brasil

. Develop and implement machine learning models and statistical techniques applied to agribusiness challenges.

Posted 10/10/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing machine learning models and statistical techniques tailored to agribusiness challenges, utilizing geospatial data and advanced data processing methodologies. Proficient in translating business needs into data-driven solutions while collaborating effectively with multidisciplinary teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentGeospatial Data AnalysisPython ProgrammingGIS Tools ProficiencyStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisData ProcessingGeospatial AnalysisData ValidationModel EvaluationData PreparationInsight GenerationPattern DetectionForecasting

Soft Skills

Collaborative TeamworkClear CommunicationAnalytical Thinking

Tools & Technologies

PythonRPandasNumPyScikit-learnQGISArcGISSQL

Industry Keywords

AgribusinessGeoprocessingRemote SensingSpatial InformationData Science

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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