Job - 28674 Master Data Scientist, Brazil

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

We are developing an AI-powered broadcast media planning solution for one of the largest radio players in the United States. The project leverages AWS (Bedrock, Lambda) to create a system that democratizes access to sophisticated multi-market planning strategies, enabling sellers of all experience levels to generate mathematically optimized proposals with unprecedented speed and precision.

Responsibilities: As a Master Data Scientist, you will be responsible for designing and implementing the two-tier optimization engine: (1) heuristic algorithms for market prioritization and budget allocation across multiple markets, and (2) Mixed-Integer Programming (MIP) optimization to maximize audience impressions delivery within each market, respecting inventory, pricing, and business constraints. You will work in close collaboration with the client's domain experts throughout the development process, in an agile environment with 2-week sprints.

Requirements for this challenge:Fluent English (conversation and technical documentation) Solid experience in Data Science, Operations Research, or Optimization Engineering Expertise in Mixed-Integer Programming (MIP) and optimization solvers (Gurobi, CPLEX, or similar)

Solid experience with AWS

Advanced Python

Heuristic algorithm design for large-scale combinatorial problems Proven experience delivering optimization solutions to production Multi-objective optimization (balancing multiple metrics and constraints) Translating business requirements into mathematical formulations Collaborative work with non-technical stakeholders to co-develop solutions Agile methodologies (Scrum, 2-week sprints)

Nice to Have:AWS Lambda for optimization workload deployment Experience in advertising/media planning or marketing optimization Knowledge of media metrics (CPM, GRP, impressions, reach, frequency) Parallel computing for scalable optimization Model Context Protocol (MCP) or integrations with multiple data sources Experience with AWS Bedrock or other AI/ML platforms

Our benefits:

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
• Profit Sharing and Results Participation (PLR);
• Life insurance
• Continuous learning platform (CI&T University);
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms