BIP Brasil
BIP Brasil
1001 – 5000 Darbinieki
LoģistikaMārketingsRažošana
BIP Brasil ir 2003. gadā dibināts starptautisks konsultāciju uzņēmums, kas palīdz organizācijām pārvaldīt uzņēmējdarbības pārmaiņas, izmantojot personalizētu un praktisku pieeju. Tā darbība aptver loģistiku, mārketingu un ražošanu, bet kompetence ietver risku pārvaldību, tehnoloģiju ieviešanu un piegādes ķēdes inovācijas. Uzņēmums atbalsta lielas dažādu nozaru organizācijas, vienlaikus veicinot darītāju kultūru un pionierisku domāšanu mainīgā uzņēmējdarbības vidē.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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