About the role

Data Scientist implementing AI solutions in areas like remote sensing and geoprocessing at Imagem Geosistemas. Collaborating with teams to provide actionable insights and innovative solutions.

Responsibilities

Perform regular tasks such as: understanding the business problem, defining solution requirements, data exploration, training and running Deep Learning and Machine Learning models, statistical and geostatistical analyses, configuring automated data processing pipelines, and preparing reports and dashboards.
Understand business needs, provide actionable insights and recommendations based on analyses, and translate them into proposed solutions.
Fully apply your knowledge and skills to extract data from sources of diverse origins, tools and formats, including spatio-temporal data.
Apply pattern recognition techniques, including but not limited to computer vision, convolutional neural networks (CNNs), language models for natural language processing (NLP), AI assistants and agents integrated with Large Language Models (LLMs), as well as data analysis and predictive analytics (ML).
Apply remote sensing techniques to define solutions for land use and land cover mapping through computer vision for interpretation of satellite and/or radar imagery.
Test and validate data science solutions to ensure their effectiveness, quality and compliance with requirements.
Stay up to date with trends and advances in data science.
Participate in and promote technical discussions and ideation/innovation processes, contributing to an environment of trust, autonomy and exchange that fosters creativity.
Collaborate with the Data Science team in building solutions.

Degree or specialization in Mathematics, Exact Sciences, Earth Sciences, Remote Sensing, Cartographic Engineering, Information Technology or related fields.
Proficiency in a programming language focused on data manipulation (Python).
Concepts of statistics and geostatistics.
Knowledge of SQL/NoSQL databases.
Experience with Machine Learning and Deep Learning algorithms.
Experience with AI assistants and agents integrated with LLMs.
Handling spatio-temporal data (geographic data with a temporal component).
Desirable knowledge of geographic information systems (GIS), remote sensing, geoprocessing and spatial analysis.
Teamwork and communication skills.

🏥 Health and Dental Plan — Sul América.
✅ Life and Personal Accident Insurance.
🏋️‍♂️ Access to Gympass to support physical and mental wellbeing.
🧘‍♀️ Wellness program focused on mental, physical and social health.
👶 Childcare allowance.
👨‍👦 Extended paternity leave.
🎉 Day off for your children’s birthdays for children up to 16 years old.
🍽 Caju card for food/meals, also valid during vacation.
🚎 Commuter/transportation allowance.
🏡 Home office allowance on the Caju card.
⏳ Flexible hours and hybrid work for a healthy balance.
🎉 Day off on your birthday + special gift (Caju voucher).
📈 Personalized career map, with technical or leadership (“Y”) tracks.
📖 2 paid hours per week dedicated to study during working hours.
🎓 Access to learning platforms Alura, Imagine and Feedz for continuous learning.
🧠 Development programs focused on technical, behavioral and business skills.
📋 Individual Development Plan (IDP) with tailored training.
💬 Regular feedback to support your growth.
📊 Annual Profit-Sharing (PLR) linked to performance.
🔄 Internal mobility to explore new positions and grow.
📈 Succession plan focused on developing leaders and junior talent.