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Operations Research Scientist Amazon Jobs (NOW HIRING)

Amazon

Research Scientist, Amazon Connect

New York, NY · On-site

As a Research Scientist on our team, you will find optimal combinatorial solutions to very large ... operational load from existing models/systems. We have a rapidly growing customer base and an ...

New

Amazon

Research Scientist, Amazon Music - DISCO

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Research Scientist. You will play an integral part in the measurement and optimization of Amazon ... operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance ...

Reqroute, Inc

Operations Research Scientist

Dallas, TX · On-site

$70 - $75/hr

Operations Research (OR) Scientist Location: Dallas, TX Type: Contract (Only W2) Work with OR&AA team members and IT partners to gather requirements, ask questions, and influence our product and ...

Hadrian Automation

Operations Research Scientist

Los Angeles, CA · On-site

$160K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Operations Research Scientist, you'll tackle complex scheduling, capacity planning, and resource allocation challenges in aerospace manufacturing. Using cutting-edge solvers and potentially RL ...

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How much do operations research scientist amazon jobs pay per year?

As of Aug 12, 2026, the average yearly pay for operations research scientist amazon in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

How do operations research scientists at Amazon typically collaborate with cross-functional teams to implement their solutions?

Operations Research Scientists at Amazon frequently work alongside software engineers, data scientists, and business stakeholders to design and implement optimization models and analytical solutions. Collaboration often involves translating complex mathematical findings into actionable business strategies, validating models with real-world data, and ensuring solutions are scalable for Amazon’s large infrastructure. Regular meetings, code reviews, and joint problem-solving sessions are common, fostering a dynamic and supportive environment where scientific innovation meets practical application.

What does an operations research scientist do at Amazon?

An Operations Research Scientist at Amazon uses advanced analytical methods, such as mathematical modeling, statistics, and optimization, to solve complex business problems. Their work often involves improving supply chain efficiency, forecasting demand, optimizing delivery routes, and enhancing inventory management. By leveraging data and quantitative techniques, they help Amazon make data-driven decisions that improve operational performance and customer experience.

What are the key skills and qualifications needed to thrive as an operations research scientist at Amazon?

To thrive as an Operations Research Scientist at Amazon, you need a strong background in mathematics, statistics, optimization, and computer science, usually supported by an advanced degree in a quantitative field. Experience with programming languages such as Python, R, or Java, and familiarity with optimization tools like CPLEX or Gurobi, are typically required. Exceptional problem-solving abilities, analytical thinking, and effective communication skills help you translate complex models into actionable business solutions. These skills are essential for developing scalable algorithms and data-driven strategies that drive operational efficiency and innovation at Amazon.
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What states have the most Operations Research Scientist Amazon jobs? States with the most job openings for Operations Research Scientist Amazon jobs include:
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Operations Research Scientist Amazon jobs near you
Infographic showing various Operations Research Scientist Amazon job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Principal Research Scientist, Amazon Connect

Amazon

New York, NY • On-site

Full-time

Posted 2 days ago

New

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,082 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Do you want to define the scientific direction for how a global contact-center network forecasts demand, schedules its workforce, and optimizes operations in real time. The Eliza team within Amazon Connect (FCS) is looking for a Principal Research Scientist with a deep operations research specialization to set the research agenda in operations science - combinatorial optimization, queueing theory, stochastic modeling, and forecasting - and to translate that research into production systems that serve millions of customer interactions.
As a Principal Research Scientist, you will be the senior technical voice for operations research across the org. You will identify the highest-leverage scientific problems, architect novel solutions, and drive them from research through production deployment

You will not sit apart from the work - you will remain deeply hands-on with data, models, and systems while raising the scientific bar for scientists and engineers around you. This is an individual-contributor Principal role: your influence comes from technical depth, invention, and the ability to move business and engineering roadmaps through scientific rigor.
You will operate at the intersection of demand forecasting, workforce scheduling, and network optimization - applying combinatorial optimization to large-scale scheduling and resource-allocation problems and queueing theory to model contact-center dynamics under uncertainty, non-stationarity, and competing operational constraints at Internet scale - turning that reasoning into systems that continuously sense, predict, and optimize.
Key job responsibilities
- Set the multi-year research direction for operations research across contact-center demand prediction, workforce scheduling, and network optimization.
- Design and deliver novel algorithms in combinatorial optimization (large-scale scheduling, resource allocation, integer/constraint programming) and queueing theory (contact-center modeling, staffing under stochastic arrivals), alongside stochastic modeling and time-series forecasting, that advance the state of the art while solving real operational problems.
- Own end-to-end scientific solutions - from problem formulation and prototyping to production deployment - ensuring robustness, explainability, and seamless integration with existing systems.
- Design rigorous experiments and evaluation methodology to validate hypotheses and quantify business impact; establish scientific-excellence mechanisms (metrics, benchmarks, peer review) that the broader science team adopts.
- Partner with engineering, product, and operations teams to define data and logging requirements, get them prioritized on roadmaps, and translate scientific capabilities into measurable business outcomes.
- Influence senior leadership through written papers and deep-dives, framing complex algorithmic trade-offs in clear business terms.
- Mentor and raise the bar for applied and research scientists across the org while maintaining significant hands-on technical contribution.
- Represent the team's science externally where appropriate (publications, patents, top-tier venues such as INFORMS, NeurIPS, ICML).
A day in the life
Your day blends hands-on science with technical leadership. You might spend the morning deep in data and models - prototyping a new combinatorial-optimization formulation for workforce scheduling or a queueing model for staffing under stochastic arrivals against production infrastructure - and the afternoon guiding fellow scientists through a hard optimization or stochastic-modeling problem, reviewing an experiment design, or aligning engineering partners on the data architecture needed to unlock the next capability

You'll drive technical discussions with the team and key stakeholders, and periodically write and present papers that shape the business and engineering roadmap.

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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