Data Scientist

Accountabilities

• Design and implement heuristic algorithms for market prioritization and budget allocation across multiple markets.
• Develop Mixed-Integer Programming (MIP) optimization models to maximize audience impression delivery within individual markets.
• Incorporate inventory, pricing, business rules, and other operational constraints into optimization models.
• Apply multi-objective optimization techniques to balance competing metrics, priorities, and constraints.
• Translate business requirements and stakeholder needs into robust mathematical formulations and optimization strategies.
• Develop scalable solutions for large-scale combinatorial optimization problems.
• Work closely with domain experts and non-technical stakeholders to co-develop, validate, and refine optimization solutions.
• Implement and deploy optimization solutions in production environments, ensuring reliability and scalability.
• Leverage AWS and Python to develop and support optimization workloads.
• Participate actively in an agile development environment, collaborating within two-week Scrum sprints.
• Continuously evaluate and improve algorithms, models, and solution performance based on business needs and real-world results.

Requirements

• Solid professional experience in Data Science, Operations Research, Optimization Engineering, or a closely related field.
• Strong expertise in Mixed-Integer Programming (MIP) and optimization solvers such as Gurobi, CPLEX, or equivalent.
• Proven experience designing heuristic algorithms for large-scale combinatorial optimization problems.
• Demonstrated experience delivering optimization solutions into production environments.
• Strong understanding of multi-objective optimization and the ability to balance multiple metrics, business priorities, and constraints.
• Advanced Python programming skills.
• Solid hands-on experience with AWS cloud services and environments.
• Ability to translate complex business requirements into mathematical models and practical optimization solutions.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and non-technical stakeholders.
• Fluent English, including conversational communication and technical documentation.
• Experience working with Agile methodologies, particularly Scrum and two-week sprint cycles.
• Familiarity with AWS Lambda for deploying optimization workloads is a plus.
• Experience in advertising, media planning, or marketing optimization is desirable.
• Knowledge of media metrics such as CPM, GRP, impressions, reach, and frequency is a plus.
• Experience with parallel computing and techniques for making optimization workloads more scalable is desirable.

Benefits

• Remote work opportunity in Brazil.
• Opportunity to work on sophisticated optimization and Data Science challenges with real-world business impact.
• Exposure to advanced mathematical optimization, heuristic algorithms, and cloud-based technologies.
• Collaborative environment with close interaction between technical teams and business/domain experts.
• Agile working environment based on two-week development sprints.
• Opportunity to contribute to production-grade optimization solutions at scale.
• Professional growth through challenging projects involving Data Science, Operations Research, AWS, and advanced optimization techniques.