Top Data Science Jobs in Brazil

Lead end-to-end AI deployment of OfferFit by Braze: design use cases, run technical workshops, manage technical setup and UAT, drive customer success, improve playbooks, and influence product roadmap.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

Lead and define architecture, oversee scrum delivery, delegate tasks, supervise system changes, conduct security audits, liaise with stakeholders, write reports, and hire/train technical staff for scalable backend and data/AI solutions.

The FP&A Analyst will drive projects in finance, support budgeting and cost reports, analyze financial performance, and collaborate with teams.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.

Manage and expand enterprise accounts in Latin America by prospecting, conducting discovery and product demos, executing complex sales strategies, hitting multi-million dollar targets, and collaborating with cross-functional teams to drive Snowflake adoption.

The Fraud Strategy Specialist will design fraud prevention strategies, develop anomaly detection systems, and collaborate with multiple teams to enhance safety while enabling customer growth.

The Specialist Research Fellows will engage in applied research and technological development, focusing on software engineering, AI, data science, and large-scale innovation challenges while requiring advanced technical expertise and problem-solving skills.

Join the Data Marketing Consulting team to execute data-driven marketing projects: deliver analytics solutions, collaborate with Activation/Creativity/Strategy, build client relationships, communicate results, research technical approaches, and contribute best practices to ensure business value for clients.

The Solutions Architect leads technical strategies for large enterprise accounts, focusing on ML and AI adoption while mentoring team members.

Teach and support data science students via live lessons, Q&A, 1:1 calls, message support, project reviews, and actionable feedback. Troubleshoot code, explain concepts, and share industry best practices to help students complete the program.

Build and deploy machine learning models and behavioral risk scoring to detect promotional, payment, and account abuse. Design blocking rules, run experiments/A-B tests, monitor models in production, collaborate with Engineering and Data Engineering for scalable real-time decisioning, and develop dashboards to track fraud KPIs.

The role involves leading stakeholder relationships, developing AI/ML models, analyzing complex datasets, and generating insights to enhance client performance in the payments industry.

Lead and scale advanced analytics and AI solutions across commercial, medical affairs, and clinical operations. Translate complex healthcare data into predictive models, next-best-action, and measurement frameworks; drive cross-functional partnerships, responsible AI governance, and team capability building to embed data-driven decision-making and measurable impact across the organization.