About the Role
This position leads the design and implementation of decision science solutions that integrate optimization, simulation, and data analysis to improve strategic and operational outcomes across business domains.
Responsibilities
- Lead the development of mathematical optimization models for real-world business applications
- Design and execute simulation frameworks to evaluate decision strategies under uncertainty
- Collaborate with cross-functional teams to identify high-impact business problems
- Translate business requirements into technical specifications for modeling projects
- Apply operations research methods to improve decision-making processes
- Develop scalable algorithms for large-scale data environments
- Validate model performance using statistical and computational techniques
- Communicate technical findings to non-technical stakeholders
- Guide project scoping and define success metrics for modeling initiatives
- Integrate models into production systems with engineering teams
- Stay current with advancements in optimization, simulation, and decision theory
- Mentor junior analysts and scientists on modeling best practices
- Ensure models comply with ethical and regulatory standards
- Perform sensitivity analysis to assess model robustness
- Optimize resource allocation using prescriptive analytics
- Evaluate trade-offs in decision scenarios using quantitative methods
- Support rapid prototyping of decision-support tools
- Work with data engineers to ensure input data quality
- Develop documentation for model logic and assumptions
- Lead validation and testing of simulation outputs
- Coordinate with business units to deploy decision models
- Use stochastic modeling to account for uncertainty in inputs
- Apply machine learning techniques where appropriate in decision systems
- Balance model complexity with interpretability and usability
- Drive continuous improvement in modeling frameworks
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative team environment focused on advanced analytics and decision science
About the Team
- This role is part of a specialized analytics unit that partners with business leaders to solve strategic challenges through advanced modeling techniques.
- The team emphasizes innovation, technical rigor, and practical application of decision science methods.
- Projects span multiple domains including operations, planning, and resource allocation.
Technology Stack
- The team uses modern programming languages, optimization solvers, and cloud-based infrastructure to build and deploy models.
- Tools include Python, Pyomo, Gurobi, and simulation libraries in a cloud environment.
- Integration with data platforms and APIs is standard practice.
Available for qualified candidates
