Senior Optimization Scientist - Production-Ready Models

Recentive Analytics Inc.; Boston (MA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Impactful work in leading sports teams

Collaborative culture promoting learning

Opportunities for growth and ownership

Job summary

Recentive Analytics Inc. is seeking an Optimization Scientist to join its Operations Research team in Boston. The ideal candidate will have 5+ years of experience in operations research, expertise in mathematical programming, and proficiency in Python. Responsibilities include developing advanced optimization models for scheduling and resource allocation and collaborating with various teams to implement these solutions. This role offers the chance to impact operational strategies in the sports and entertainment industries.

Qualifications

• 5+ years of experience in operations research and optimization model development.
• Strong expertise in mathematical programming and iterative problem-solving.
• Proficiency in Python for developing scalable optimization solutions.

Responsibilities

• Develop and deploy optimization models for scheduling and resource allocation.
• Collaborate with teams to integrate optimization models into production systems.
• Prototype models to address real-world optimization challenges.

Skills

Operations Research & Optimization

Mathematical Programming

Production-Ready Development in Python

Combinatorial Optimization

Solver Familiarity (e.g., Gurobi, CPLEX)

Job description

Recentive Analytics Inc. is seeking an Optimization Scientist to join its Operations Research team in Boston. The ideal candidate will have 5+ years of experience in operations research, expertise in mathematical programming, and proficiency in Python. Responsibilities include developing advanced optimization models for scheduling and resource allocation and collaborating with various teams to implement these solutions. This role offers the chance to impact operational strategies in the sports and entertainment industries.