Amazon's Worldwide Pricing & Promotions organization is seeking a strong Applied Scientist to help solve complex business problems involving pricing algorithms and promotional strategies at a global scale. This Applied Scientist will operate in a team of other scientists and economists. Our team applies causal inferences, statistics, machine learning, forecasting, optimization, economics, and experimentation to drive actionable insights and to improve strategic business decision-making.

This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting new pricing and promotional strategies. The work is part of significant scientific investments in promotions intelligence systems that forecast customer demand and optimize promotions strategies across different surfaces.

• Key job responsibilities
• Invent or adapt new scientific approaches, models, or algorithms inspired and driven by customers' needs and benefits
• Produce research papers and reports that have the same level of correctness, scholarship, usefulness, completeness, depth, rigor, and originality as a top-tier external publication
• Implement solutions that will be deployed into production or directly support production systems
• Write clear, useful documentation describing algorithms and design choices in your components to make it possible for others to understand and reproduce your work
• Contribute to operational excellence in the team's deliverable
• Analyze the performance of your methods and models to understand the gaps, and iteratively propose solutions to improve
• Champion the adoption of scientific advancements in the team
• Help new teammates ramp up and understand who our customers are, what their needs are, how the team's solutions work, and how scientific components fit in those solutions

A day in the life
As an Applied Scientist on the WW Pricing & Promotions Science team, you invent or adapt new scientific approaches, models, or algorithms to solve real-world business problems. Your work uses the latest (or the most appropriate) techniques from academic literature. You work semi-autonomously to successfully deliver solutions that are consistently of high quality (efficient, reproducible, testable code). You work collaboratively with teammates, partners, and stakeholders. You recognize discordant views and take part in constructive dialogue to resolve them. You adopt and identify opportunities to refine mechanisms to raise the general scientific knowledge in the team.

About the team
The WW Pricing & Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon's businesses. We specialize in experimental and observational causal methods, forecasting, and optimization. We apply these tools to drive business decision making at scale, leading to launch decisions of new pricing algorithms and new promotion strategies, understanding short- and long-term value of different programs, and the prioritization of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimize for long-term program health.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application 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
• Experience building machine learning models or developing algorithms for business application
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Preferred Qualifications

• Experience implementing algorithms using toolkits and self-developed code
• Experience in designing experiments and statistical analysis of results
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in patents or publications at top-tier peer-reviewed conferences or journals

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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

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