Top Data Science Jobs in Brazil

Lead the design, development, deployment, and continuous improvement of scalable production AI solutions. Build LLM, RAG, agentic AI, machine learning, and document intelligence systems using Python, Azure, DevOps, IaC, Docker, Kubernetes, and MLOps. Own architecture, testing, evaluation, monitoring, security, governance, and operational support while translating business needs into measurable outcomes. Provide technical leadership, mentorship, stakeholder collaboration, and influence enterprise AI engineering standards and platforms.

Leads credit policy and pricing for current and new financial products. Designs experimentation agendas, applies AI to credit decisions, balances profitability with customer retention, and partners with Data, Product, Technology, Treasury, Strategy, and Growth. Initially operates as an individual contributor while building a senior credit team and developing scalable, data-driven risk structures for a marketplace ecosystem.

Leads Snowflake’s LATAM Solutions Engineering team in Brazil, managing sales engineers while supporting technical sales cycles, demonstrations, proofs of concept, customer presentations, and regional technical-win forecasting. Partners with sales, channel partners, product, engineering, marketing, and services teams to achieve quota goals, identify customer solutions, improve win rates, and expand into new territories. Responsibilities also include recruiting, interviewing, coaching, developing team talent, and advising revenue leadership on sales strategy and product needs.

Coordinates internal and external IT audits, including AI control assessments; manages evidence collection, management responses, remediation tracking, reporting, and follow-up testing. Plans security assessments using NIST frameworks, validates control remediation, advises projects on security and compliance control design, and improves assurance methodologies and reporting. The role also performs root cause analysis, trend assessment, stakeholder training, and supports responsible AI, information security, governance, and business process design.

Design, develop, evaluate, and deploy scalable AI and machine learning solutions for fraud prevention, chargeback risk, and payment risk. Build production-grade APIs, data pipelines, and services; manage CI/CD, monitoring, testing, and troubleshooting for ML systems. Collaborate with data science, engineering, MLOps, and business teams to deliver impactful solutions, while mentoring colleagues and improving AI development practices.

Leads data science strategy across Mexico and Brazil, manages and mentors a distributed team, and remains hands-on building and deploying machine learning models. Establishes modeling standards, infrastructure, delivery practices, and technical roadmaps while partnering with credit leadership on underwriting, valuation, impact measurement, and P&L analysis. Requires strong applied machine learning expertise, prior data science leadership, business communication skills, and understanding of credit or underwriting.

Leads Rare Brazil’s monitoring, evaluation, learning, and program data function. Manages staff and consultants, oversees budgets and workplans, ensures data quality, and delivers monitoring and donor reporting outputs. The role develops M&E frameworks, manages ecological and socioeconomic data collection, oversees data governance and dashboards, coordinates university and government partnerships, and supports adaptive management for coastal fisheries conservation programs.

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.

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.

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

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

Own Luna Joy’s production analytics stack, including approximately 220 dbt and BigQuery models, source pipelines, scheduled reports, dashboards, governance, and business metric definitions. Diagnose ingestion failures, maintain data quality and documentation, and provide defensible analysis to Finance, Clinical Operations, Growth, and executive leadership. This autonomous role also manages PHI responsibly and translates ambiguous business questions into trusted reporting and insights.

Lead statistical and data science rigor across Risk, Liquidity, Payments, and other squads. Review, validate, and hands-on improve statistical and machine learning models, applying causal inference, time series, Bayesian methods, optimization, and probability. Mentor data scientists, establish analytical quality standards, communicate uncertainty to stakeholders, and collaborate with Product, Risk, Engineering, and Compliance. Use AI-assisted workflows to accelerate delivery while maintaining methodological rigor.

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.