This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist based in Brazil.
This is a highly technical opportunity focused on building advanced optimization solutions for complex, large-scale business problems.
You will design a two-tier optimization engine combining heuristic algorithms with Mixed-Integer Programming (MIP).
The work will help prioritize markets, allocate budgets, and maximize audience impression delivery while respecting real-world constraints.
You will translate business objectives into mathematical formulations and production-ready optimization solutions.
The role involves close collaboration with domain experts and non-technical stakeholders in an agile, two-week sprint environment.
You will work with modern cloud technologies and advanced optimization techniques to create scalable, measurable business impact.
This position is ideal for a Data Scientist or Optimization Engineer who enjoys solving challenging problems where mathematics, algorithms, and business strategy intersect.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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