Optimization Scientist
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Were looking for a Optimization Scientist to join Recentives core Operations Research this role youll develop and deploy optimization models that solve complex scheduling resource allocation and decision-making problems for some of the biggest names in sports and entertainment. Youll work closely with engineering and data teams teams to design analytical solutions that drive measurable impact across industries.
What Youll Be Doing
- Advanced Optimization Model Development: Designing and building advanced optimization models leveraging techniques like integer programming network flow and metaheuristics.
- Cross-Functional Collaboration: Collaborating with cross-functional teams to define problems develop solutions and integrate optimization models into production systems.
- Real-World Application & Deployment: Prototyping and deploying models to solve real-world problems in areas like scheduling resource optimization and forecasting.
What Were Looking For
- Operations Research & Optimization Expertise: 5 years of experience in operations research and optimization model development in a production environment.
- Mathematical Programming Experience: Strong expertise in mathematical programming including integer programming decomposition methods and cutting-plane methods.
- Combinatorial Optimization Experience: Experience tackling large-scale combinatorial optimization problems with creative modeling techniques.
- Production-Ready Development: Proficiency in Python for developing scalable production-ready optimization solutions.
- Solver & Framework Familiarity: Hands-on experience with commercial optimization solvers (e.g. Gurobi CPLEX) and open-source frameworks.
- Iterative Problem-Solving Approach: A results-driven mindset with the ability to prototype quickly and iteratively refine solutions.
Why Work at Recentive
Impactful Work: Our technology and products directly shape operational strategies at leading sports teams and leagues broadcasters and other key players in the live events ecosystem.
Forward Thinking: Design and build forward-thinking analytical solutions that blend creativity and engineeringleveraging advanced algorithms optimization and machine learning to solve complex real-world challenges.
Collaborative Culture: Were a growing tight-knit data-centered team that values knowledge-sharing learning and innovation.
Growth & Ownership: Shape your career as a technical leader while helping build next-generation analytical tools from the ground up.
Required Experience:
IC
About Company
Recentive helps organizations use AI to forecast, optimize, and make decisions with clarity and precision.
