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From Home Stochastic Modeling Jobs (NOW HIRING)

UNC-Chapel Hill

Department Manager

Chapel Hill, NC · On-site

$17.50 - $19.50/hr

University employees can choose from a wide range of professional training opportunities for career ... stochastic modeling, data science, analytics, and decision-making under uncertainty. The department ...

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From Home Stochastic Modeling information

What is the difference between From Home Stochastic Modeling vs From Home Data Analyst?

AspectFrom Home Stochastic ModelingFrom Home Data Analyst
Required CredentialsDegree in Mathematics, Statistics, or related field; proficiency in modeling softwareDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentRemote, often focused on developing models and simulationsRemote, analyzing data sets and generating reports
Industry UsageFinance, insurance, risk managementMarketing, healthcare, business intelligence

From Home Stochastic Modeling involves creating mathematical models to predict and analyze complex systems, often used in finance and risk management. From Home Data Analyst focuses on interpreting data to inform business decisions across various industries. While both roles are remote and require analytical skills, stochastic modeling emphasizes mathematical expertise, whereas data analysis centers on data interpretation and reporting.

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From Home Stochastic Modeling jobs near you
Infographic showing various From Home Stochastic Modeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution.

Principal Research Scientist, Amazon Connect

Amazon

New York, NY • On-site

Full-time

Posted 10 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 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.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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