Amazon · 1 day ago
Sr. Applied Scientist, Pricing Science
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $260K/yr
4+ years expAmazon is seeking a Sr. Applied Scientist to join their Pricing Optimization science group. This role involves driving algorithmic pricing improvements and requires expertise in machine learning, collaboration with various teams, and a focus on customer-centric innovation.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
See the big picture. Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques
Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale
Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems
Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery
Successfully execute & deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems
Shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs
Error detection and price quality guardrails at scale
Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)
Qualification
Required
4+ years of applied research experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-06
2026-01-06
2026-01-06
Company data provided by crunchbase