Applied Scientist, WW Promotions Science
Amazon, Seattle, WA, United States
Applied Scientist, WW Promotions Science
Job ID: 10403049 | Amazon.com Services LLC
Amazon's Worldwide Pricing & Promotions organization is seeking a strong Applied Scientist to help solve complex business problems involving promotional strategies at a global scale. This Applied Scientist will operate in a team of other scientists and economists. Our team applies causal inference, 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 promotional strategies. The work is part of significant scientific investments in promotions intelligence systems that forecast customer demand and optimise 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 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 collaborate 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 Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon’s businesses. We specialise in experimental and observational causal methods, forecasting, and optimisation. 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 programmes, and the prioritisation of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimise for long‑term programme 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 optimisation, 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 optimisation and model pruning
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Compensation & Benefits
Location: Seattle, WA, USA.
Base salary: $142,800.00 – $193,200.00 USD annually.
Package includes sign‑on payments, restricted stock units (RSUs), and other benefits such as health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional Supplemental life plans), Employee Assistance Program, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Equal Opportunity Employer
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 10403049 | Amazon.com Services LLC
Amazon's Worldwide Pricing & Promotions organization is seeking a strong Applied Scientist to help solve complex business problems involving promotional strategies at a global scale. This Applied Scientist will operate in a team of other scientists and economists. Our team applies causal inference, 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 promotional strategies. The work is part of significant scientific investments in promotions intelligence systems that forecast customer demand and optimise 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 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 collaborate 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 Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon’s businesses. We specialise in experimental and observational causal methods, forecasting, and optimisation. 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 programmes, and the prioritisation of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimise for long‑term programme 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 optimisation, 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 optimisation and model pruning
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Compensation & Benefits
Location: Seattle, WA, USA.
Base salary: $142,800.00 – $193,200.00 USD annually.
Package includes sign‑on payments, restricted stock units (RSUs), and other benefits such as health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional Supplemental life plans), Employee Assistance Program, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Equal Opportunity Employer
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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