# Principal Research Scientist, Amazon Connect at Amazon

Amazon is hiring a Principal Research Scientist, Amazon Connect in New York, United States. It pays $208k-$282k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/bbcaf755-dad9-4765-a05b-d5b3ff419b3b?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. US, NY, New York.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 90 out of 100)
- Location: US, NY, New York
- Salary: $208k-$282k
- Posted: August 11, 2026
- Apply: https://jobsbylevel.com/go/bbcaf755-dad9-4765-a05b-d5b3ff419b3b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-research-scientist-amazon-connect-at-amazon-63dfa0

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-research-scientist-amazon-connect-at-amazon-63dfa0

## Description

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-research-scientist-amazon-connect-at-amazon-63dfa0

Source: https://jobsbylevel.com/jobs/principal-research-scientist-amazon-connect-at-amazon-63dfa0

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-research-scientist-amazon-connect-at-amazon-63dfa0.

Get job alerts: https://jobsbylevel.com/newsletter