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BIP Brasil — 2003 жылы құрылған, ұйымдарға бизнесті түрлендіру үдерісінен жекелендірілген әрі практикалық тәсіл арқылы өтуге көмектесетін халықаралық консалтингтік компания. Оның қызметі логистика, маркетинг және өндіріс салаларын қамтиды, сондай-ақ тәуекелдерді басқару, технологияларды енгізу және жеткізу тізбегіндегі инновациялар бойынша сараптама ұсынады. Компания өзгермелі іскерлік ортада мейкер мәдениеті мен жаңашыл ойлау тәсілін дамыта отырып, түрлі салалардағы ірі ұйымдарға қолдау көрсетеді.
Mid-Level Data Scientist, Geospatial Image Processing
Develop machine learning models and geospatial solutions for agribusiness at BIP Brasil. Support data-driven decisions using satellite imagery and analytical data.
Сипаттама
- Build machine learning models and apply statistical methods to agribusiness challenges.
- Analyze geospatial, agronomic, climate, operational, and market data.
- Process satellite images, aerial photographs, and other remote sensing data.
- Develop models for classification, segmentation, forecasting, pattern detection, and insight generation.
- Create and improve geoprocessing algorithms that automate data analysis and processing.
- Use GIS tools to analyze, interpret, and visualize spatial data.
- Combine data from APIs, databases, files, geospatial platforms, and external sources.
- Organize data preparation, validation, and enrichment workflows.
- Help develop indicators, dashboards, thematic maps, and analytical products.
- Assess the quality, performance, and suitability of models.
- Record methodologies, assumptions, findings, and analytical limitations.
- Prepare reports and presentations that communicate key findings and recommendations.
- Collaborate with technology, data, business, and client teams.
- Turn business needs into analytical hypotheses and data-based solutions.
- Help deploy models and improve them in production environments.
- Apply data science, geoprocessing, and spatial analysis to create solutions that meet client needs.
Талаптар
- Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, geography, agronomy, geoprocessing, or a related discipline.
- Applicants with other educational backgrounds may be considered if their experience matches the role’s challenges.
- Experience building machine learning models or performing statistical analysis.
- Proficiency in Python or R for data processing, modeling, and analysis.
- Familiarity with Pandas, NumPy, Scikit-learn, or comparable libraries.
- Experience working with geospatial data, spatial analysis, or geoprocessing.
- Familiarity with QGIS, ArcGIS, or comparable platforms.
- Knowledge of SQL and relational databases.
- Ability to prepare, process, validate, and analyze varied datasets.
- Ability to interpret results and communicate conclusions clearly.
- Knowledge of model evaluation and validation metrics.
- Strong collaboration skills in multidisciplinary teams.
- Ability to understand business problems and translate them into analytical approaches.
Артықшылықтар
- All Points rewards program for airfare and accommodation
- Medical insurance
- Dental insurance
- Life insurance
- Pet benefits program
- Mobility benefits, including fuel and Uber/99 options
- Flex Reimbursement for items such as glasses, vaccines, education, and concerts
- Meal and/or food allowance
- Birthday leave
- Wellhub (formerly Gympass)
- Alelo Club discounts at participating stores and pharmacies
- 180 days of maternity leave
- 30 days of paternity leave
- Childcare allowance during the baby’s first year
- Transportation allowance, depending on project or area requirements
- Annual bonus program
- Commission for referring new clients
- Global TRAINING AND DEVELOPMENT center with current industry content and courses
- Flex Time, with dedicated weekly time for professional development
- Mentoring with leaders recognized in their fields
- Semiannual performance reviews
- Regular feedback, including recurring one-to-one meetings with managers and teams
- Personalized development plan aligned with individual goals
- Darwin, a global program for young talent to build soft and technical skills
- Grounding, a global training program for newly hired professionals starting consulting careers
- International onboarding through Induction
- Spinnaker, training to strengthen the strategic skills of Managers and Senior Managers
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