[Job 31517] Data Scientist

Posted Yesterday
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Hiring Remotely in Brazil
Remote
Entry level
Information Technology • Consulting
The Role
Design and implement a two-tier optimization engine using heuristic algorithms and Mixed-Integer Programming to prioritize markets, allocate budgets, and maximize audience impressions. Translate business requirements into mathematical models, incorporate inventory and pricing constraints, and deliver scalable optimization solutions to production. Collaborate with domain experts and non-technical stakeholders in two-week Agile sprints. Use advanced Python, AWS, optimization solvers, multi-objective optimization, and potentially AWS Lambda and parallel computing.
Summary Generated by Built In

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

Skills Required

  • Fluent English for conversation and technical documentation
  • Solid experience in Data Science, Operations Research, or Optimization Engineering
  • Expertise in Mixed-Integer Programming and optimization solvers such as Gurobi or CPLEX
  • Solid experience with AWS
  • Advanced Python
  • Heuristic algorithm design for large-scale combinatorial problems
  • Proven experience delivering optimization solutions to production
  • Experience with multi-objective optimization and business constraints
  • Ability to translate business requirements into mathematical formulations
  • Collaborative work with non-technical stakeholders
  • Experience with Agile methodologies and Scrum two-week sprints
  • AWS Lambda for optimization workload deployment
  • Experience in advertising, media planning, or marketing optimization
  • Knowledge of CPM, GRP, impressions, reach, and frequency metrics
  • Parallel computing for scalable optimization
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The Company
HQ: Campinas
6,474 Employees
Year Founded: 1995

What We Do

CI&T is your end-to-end digital transformation partner. As a digital native, we bring a 27-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.

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