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Responsibilities:

  • Design and implement a two-tier optimization engine: heuristic algorithms for market prioritization and budget allocation, and MIP optimization for audience impressions delivery.
  • Collaborate with non-technical stakeholders to co-develop solutions in an agile environment with 2-week sprints.
  • Ensure production deployment and scaling of optimization solutions using AWS Lambda and parallel computing.

Requirements:

  • Fluent English and solid experience in Data Science, Operations Research, or Optimization Engineering.
  • Expertise in MIP and solvers (Gurobi, CPLEX), heuristic algorithms, and multi-objective optimization.
  • Proven experience with AWS, advanced Python, and delivering optimization solutions to production.

Nice to Have:

  • Experience in advertising/media planning or marketing optimization.
  • Knowledge of media metrics (CPM, GRP, impressions, reach, frequency).
  • Parallel computing for scalable optimization.

CI&T

CI&T is a global digital solutions company that partners with major brands to drive digital transformation. The company has a large team of professionals and fosters a culture of innovation and collaboration.

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