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Combinatorial Optimization Jobs in Saugus, MA (NOW HIRING)

Recentive Analytics Inc.

Optimization Scientist

Boston, MA · On-site

$90 - $130/hr

Combinatorial Optimization Experience: Experience tackling large‑scale combinatorial optimization problems with creative modeling techniques. * Production‑Ready Development: Proficiency in Python ...

All JobsCombinatorial Optimization JobsCombinatorial Optimization Jobs in Saugus, MA

Combinatorial Optimization information

See Saugus, MA salary details

$42.2K

$144.8K

$204.3K

How much do combinatorial optimization jobs pay per year?

As of Aug 23, 2026, the average yearly pay for combinatorial optimization in Saugus, MA is $144,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $169,200.00 per year, depending on experience, location, and employer.

What is combinatorial optimization?

Combinatorial optimization is a field in mathematics and computer science focused on finding the best solution from a finite set of possible solutions. It involves problems where you need to arrange, select, or group discrete objects according to certain rules to achieve an optimal outcome. Examples include scheduling, routing, and assignment problems. Techniques such as linear programming, branch and bound, and heuristics are often used to solve these problems. Combinatorial optimization is widely applied in logistics, operations research, computer science, and engineering.

What are the key skills and qualifications needed to thrive as a combinatorial optimization specialist?

To thrive as a Combinatorial Optimization Specialist, you need a solid background in mathematics, computer science, and operations research, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), optimization libraries, and mathematical modeling tools like CPLEX or Gurobi is typically required. Strong analytical thinking, problem-solving skills, and effective communication help you devise and explain complex solutions to stakeholders. These skills are crucial for developing efficient algorithms and models that address challenging optimization problems in various industries.

How does a combinatorial optimization specialist typically collaborate with other departments within an organization?

Combinatorial Optimization specialists frequently work cross-functionally, partnering with data scientists, software engineers, and business analysts to translate complex business problems into mathematical models. They help teams identify optimal solutions for scheduling, routing, resource allocation, and other operational challenges. Effective communication is crucial, as specialists must explain complex algorithms to non-technical stakeholders and integrate their solutions into broader business processes. Collaborative teamwork and iterative problem-solving are common in this role.

What is the difference between Combinatorial Optimization vs Data Analyst?

AspectCombinatorial OptimizationData Analyst
Required CredentialsMathematics, Operations Research, Computer Science degreesStatistics, Data Science, Business Analytics degrees
Work EnvironmentResearch labs, consulting firms, tech companiesCorporate offices, finance, marketing departments
Industry UsageLogistics, manufacturing, AI, supply chainFinance, marketing, healthcare, retail

While both roles involve analytical skills, Combinatorial Optimization focuses on solving complex mathematical problems to find optimal solutions, often in logistics and operations. Data Analysts interpret data to inform business decisions, working across various industries. Understanding these differences helps clarify career paths and employer expectations.

What cities near Saugus, MA are hiring for Combinatorial Optimization jobs?

Cities near Saugus, MA with the most Combinatorial Optimization job openings:

Combinatorial Optimization jobs near you

Optimization Scientist

Recentive Analytics Inc.

Boston, MA • On-site

$90 - $130/hr

Other

Posted 5 days ago

Job description

Optimization Scientist

Department: Engineering

Employment Type: Full Time

Location: SF / Boston / Remote (USA)

Description

We’re looking for a Optimization Scientist to join Recentive’s core Operations Research team. In this role, you’ll 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. You’ll work closely with engineering and data teams to design analytical solutions that drive measurable impact across industries.

What You’ll 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 We’re 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 engineering—leveraging advanced algorithms, optimization, and machine learning to solve complex, real‑world challenges.

Collaborative Culture: We’re 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.

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