Top Data Science Jobs in Sao Paulo

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.

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

The Retention Sr Manager designs and leads customer retention strategies to transform one-time buyers into loyal customers. Responsibilities include overseeing email, SMS, and push notification channels, creating lifecycle journeys, managing KPIs, and collaborating cross-functionally to drive engagement and revenue growth.

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.

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.

The Data Product Manager will lead AI-powered computer vision initiatives, collaborating with global teams, managing product planning, and ensuring successful delivery and adoption across markets.

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.

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

The role involves designing and implementing scalable applications, building backend services, developing ETL processes, and database management using Python and various technologies.

Lead behavioral data analysis and build scalable ML/AI models focused on user behavior and personalization. Design experiments (A/B, causal inference, uplift), generate actionable insights for product/marketing, ensure data instrumentation and quality, and collaborate with product, engineering and analytics squads to measure impact.

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

As a Data Science Intern, you'll analyze performance data, support A/B testing, maintain dashboards, and document processes, contributing to creative testing operations.