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Operations Research Entry Level Jobs in Massachusetts

Entry Level Traffic Engineer

Boston, MA ยท Hybrid

$80K - $84K/yr

... Operations group. The selected candidate will work with a team of transportation planners and ... Research and interpret transportation data, zoning and land use ordinances, community statistics ...

Entry Level Traffic Engineer

Boston, MA ยท Hybrid

$80K - $84K/yr

... Operations group. The selected candidate will work with a team of transportation planners and ... Research and interpret transportation data, zoning and land use ordinances, community statistics ...

Entry Level Traffic Engineer

Watertown, MA ยท Hybrid

$80K - $84K/yr

... Operations group. The selected candidate will work with a team of transportation planners and ... Research and interpret transportation data, zoning and land use ordinances, community statistics ...

Entry Level Traffic Engineer

Watertown, MA ยท Hybrid

$80K - $84K/yr

... Operations group. The selected candidate will work with a team of transportation planners and ... Research and interpret transportation data, zoning and land use ordinances, community statistics ...

Entry Level Traffic Engineer

Boston, MA ยท Hybrid

$80K - $84K/yr

... Operations group. The selected candidate will work with a team of transportation planners and ... Research and interpret transportation data, zoning and land use ordinances, community statistics ...

An entry level role that applies broad theoretical job knowledge typically obtained through ... Job Overview The Research Project Coordinator serves as the link between administrative staff ...

Showing results 21-40

Operations Research Entry Level information

What is an entry-level operations research job?

Operations research entry level jobs are positions for recent graduates or individuals new to the field, where employees use mathematical modeling, statistical analysis, and optimization techniques to help organizations solve complex problems and make better decisions. These roles typically involve data analysis, developing algorithms, and assisting with project implementation under the guidance of senior analysts. Entry-level operations research professionals often work in industries such as logistics, finance, manufacturing, or government, contributing to efficiency and strategic planning.

What skills and qualifications are needed for an entry-level operations research analyst?

To thrive as an Entry-Level Operations Research Analyst, you typically need a strong background in mathematics, statistics, and analytical reasoning, often supported by a bachelor's degree in operations research, mathematics, engineering, or a related field. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and optimization tools is commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for presenting data-driven insights to stakeholders. These skills and qualities are essential for developing practical solutions to complex business challenges and supporting data-informed decision-making.

What types of projects does an entry-level operations research professional work on?

As an entry-level Operations Research professional, you can expect to work on projects involving data analysis, process optimization, and modeling to support decision-making within the organization. Common tasks include collecting and cleaning data, developing mathematical models to solve business problems, and assisting in the implementation of solutions. You will often collaborate with cross-functional teams such as supply chain, finance, or IT, presenting your findings and recommendations to support organizational objectives. This role provides a strong foundation in analytical thinking and teamwork, offering opportunities to gradually take on more complex projects and responsibilities as you gain experience.

What is the difference between Operations Research Entry Level vs Data Analyst Entry Level?

AspectOperations Research Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentAnalytical teams, consulting firms, or corporate planning departmentsBusiness, finance, marketing, or tech companies
Employer & Industry UsageManufacturing, logistics, consulting, governmentFinance, healthcare, retail, tech
Common Search & ComparisonOperations Research Entry Level vs Data Analyst Entry Level

While both roles involve analyzing data to support decision-making, Operations Research Entry Level focuses on optimization, modeling, and complex problem-solving using mathematical techniques. Data Analyst Entry Level emphasizes data collection, visualization, and basic statistical analysis. The roles often overlap in skills and work environments but differ in their core methodologies and industry applications.

What are the most commonly searched types of Operations Research jobs in Massachusetts?

The most popular types of Operations Research jobs in Massachusetts are:

What cities in Massachusetts are hiring for Operations Research Entry Level jobs?

Cities in Massachusetts with the most Operations Research Entry Level job openings:

Infographic showing various Operations Research Entry Level job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Research Software Developer - Python / PyTorch

StaffRight Associates, LLC

Boston, MA โ€ข On-site

$250K - $600K/yr

Other

Posted 8 days ago


Job description

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.

Practice Group: Computer Science / Scientific Infrastructure & Machine Learning

About the Role

Innovation in quantitative science, drug discovery, and high-performance computing requires more than dataโ€”it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative research and technology firm in New York City.

We are seeking an exceptional Research Software Developer to join a highly collaborative, intellectually rigorous team where computational excellence is the standard. Software developers at all levels of experienceโ€”including entry-levelโ€”will develop, deploy, and support software tools and systems for scientific modeling, simulation, and analysis. This role is directly involved in building infrastructure for distributed/parallel training, leveraging LLMs, and applying advanced machine learning models to drive cutting-edge drug discovery efforts.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world scientific execution, working alongside a world-class team of chemists, biologists, machine learning engineers, and computer scientists.

Key Responsibilities
  • Architect & Build: Design, optimize, and maintain critical tools and infrastructure driving scientific data pipelines, LLM model training and deployment, and large-scale distributed systems.

  • Data & Research Execution: Translate complex datasets, chemical/ML data, and abstract technical challenges into clear, scalable, high-performance workflows and cheminformatics tools.

  • Systemic Optimization: Identify technical friction points, eliminate bottlenecks, install/troubleshoot software, and enhance operational velocity across GPU clusters and high-concurrency computing environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with quantitative researchers, machine learning engineers, biologists, and computational chemists to improve end-user computing environments.

What You Bring
  • Academic Pedigree: Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of Core Technical Concepts and tools, specifically:

    • Languages: Python, C++, Linux/UNIX Tools

    • ML/AI Frameworks: PyTorch, MLflow, vLLM, SGLang, Generative & Agentic AI

    • Infrastructure: GPU Clusters, Distributed/Parallel Training, Data Management Pipelines

  • Analytical Precision: Proven track record in scripting and automating scientific workflows, managing complex data, or solving multi-faceted problems in high-performance computing.

  • Agile Mindset: Intellectual curiosity, versatility, and a track record of achievement, balancing rigorous engineering standards with fast-paced execution.

Compensation & Benefits
  • Base Salary Range: $250,000 โ€“ $600,000 (Determined based on prior experience and educational background)

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), generous full benefit package, relocation assistance, and immigration support.

  • Work Arrangement: Hybrid model (In-office Tuesdayโ€“Thursday; optional remote Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We get your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.