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Location
Remote (Brazil)
Overview
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CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.

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

MidSenior

LI-RW1

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