Applied Scientist, Pricing Science

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A leading e-commerce company in Seattle is seeking an Applied Scientist to develop pricing strategies using multi-modal datasets. Candidates should possess a PhD or Master's degree with 4+ years of experience in machine learning, predictive modeling, and strong programming skills in languages like Java, C++, or Python. This role offers competitive compensation and comprehensive benefits, such as health insurance and 401(k) matching, aimed at driving significant business impact.

Qualifications

• PhD, or Master's degree and 4+ years of relevant experience.
• 2+ years of hands-on predictive modeling and large data analysis experience.
• Experience solving business problems with machine learning.

Responsibilities

• Understand and develop strategies for competitive pricing techniques.
• Partner with product and engineering teams to deploy models.
• Establish mechanisms to stay updated on scientific advancements.

Skills

Machine learning

Predictive modeling

Cross-functional collaboration

Business acumen

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Java

C++

Python

Job description

Job ID: 3193523 | Amazon.com Services LLC

Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide.

We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon.

This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and business acumen, and an entrepreneurial spirit.

We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work independently to deliver business impact.

Key Responsibilities

• See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques
• Build strong collaborations. Partner with product, engineering, and data teams within Pricing & Promotions to deploy models at Amazon scale
• Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, 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.

A Day in the Life

• Invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
• Shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.
• Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.
• Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)

Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.

About the Team

The Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• 2+ years of hands‑on predictive modeling and large data analysis experience
• Experience in solving business problems through machine learning, data mining and statistical algorithms

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience with training and deploying machine learning systems to solve large‑scale optimizations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Salary & Benefits

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.