We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
Ideally you bring experience with reinforcement learning, causal inference, and/or the design of ... manage stress and work safely and respectfully with others, exhibit trustworthiness and ...
Ideally you bring experience with reinforcement learning, causal inference, and/or the design of ... manage stress and work safely and respectfully with others, exhibit trustworthiness and ...
Applied Science Manager, Stores-Ads Science
Seattle, WA · On-site
$43K - $59K/yr
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
Applied Science Manager, Stores-Ads Science
Seattle, WA · On-site
$43K - $59K/yr
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact. We are looking for an Applied Science Manager ...
Applied Science Manager, CBA
Seattle, WA · On-site
As a manager in CFV, you will lead Applied Scientists, Economists, and Data Scientists working at the intersection of causal inference, sequence modeling, and experimentation. The work spans ...
Applied Science Manager, CBA
Seattle, WA · On-site
As a manager in CFV, you will lead Applied Scientists, Economists, and Data Scientists working at the intersection of causal inference, sequence modeling, and experimentation. The work spans ...
We pursue ambitious research at the intersection of machine learning, AI, and causal inference ... manage stress and work safely and respectfully with others, exhibit trustworthiness and ...
We pursue ambitious research at the intersection of machine learning, AI, and causal inference ... manage stress and work safely and respectfully with others, exhibit trustworthiness and ...
Data Scientist - TikTok Ads, Ads Measurement
Seattle, WA · On-site
$170K - $263K/yr
... causal inference approaches to help advertisers measure their true business value on the TikTok ... managers, product marketing and other key stakeholders to identify opportunities to improve ...
Data Scientist - TikTok Ads, Ads Measurement
Seattle, WA · On-site
$170K - $263K/yr
... causal inference approaches to help advertisers measure their true business value on the TikTok ... managers, product marketing and other key stakeholders to identify opportunities to improve ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
... managers, scientists, and software engineers in the industry. You will propose and deploy solutions ... Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
... managers, scientists, and software engineers in the industry. You will propose and deploy solutions ... Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference ...
... and knowledge management capabilities. In this role, you'll partner closely with product ... Develop hypotheses and apply rigorous causal inference methods - including controlled experiments ...
... and knowledge management capabilities. In this role, you'll partner closely with product ... Develop hypotheses and apply rigorous causal inference methods - including controlled experiments ...
... a Science Manager, interested in leading a team of Economists, Data Scientists and Applied ... MAPS applies industry leading causal inference models and designs experiments to measure omni ...
... a Science Manager, interested in leading a team of Economists, Data Scientists and Applied ... MAPS applies industry leading causal inference models and designs experiments to measure omni ...
As a Senior Manager, Machine LearningScienceyou and your team will own our Bundled Productsranking ... Set and enforce best practices for experimental design, A/B testing, and causal inference to ensure ...
As a Senior Manager, Machine LearningScienceyou and your team will own our Bundled Productsranking ... Set and enforce best practices for experimental design, A/B testing, and causal inference to ensure ...
Principal Software Engineer, ML Platform
Seattle, WA · On-site
$153K - $206K/yr
Experiment faster and safer through robust causal-inference tooling, richer randomized ... You will manage the technical priorities of a 3-4 member platform engineering team, mentor ...
New
Principal Software Engineer, ML Platform
Seattle, WA · On-site
$153K - $206K/yr
Experiment faster and safer through robust causal-inference tooling, richer randomized ... You will manage the technical priorities of a 3-4 member platform engineering team, mentor ...
New
Principal Software Engineer, ML Platform
Seattle, WA · On-site
$153K - $206K/yr
Experiment faster and safer through robust causal-inference tooling, richer randomized ... You will manage the technical priorities of a 3-4 member platform engineering team, mentor ...
New
Principal Software Engineer, ML Platform
Seattle, WA · On-site
$153K - $206K/yr
Experiment faster and safer through robust causal-inference tooling, richer randomized ... You will manage the technical priorities of a 3-4 member platform engineering team, mentor ...
New
Data Scientist
Redmond, WA · On-site
Work with senior management, technical and client teams in order to determine data requirements ... Attribution and causal inference (4+ years)
Quick apply
Data Scientist
Redmond, WA · On-site
Work with senior management, technical and client teams in order to determine data requirements ... Attribution and causal inference (4+ years)
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
Director, Data Science - Central Product Platform (CPP)
Bellevue, WA · On-site
$253K/yr
Lead the design and execution of large-scale experimentation programs, including causal inference methodologies and A/B testing frameworks, to evaluate product impact and inform investment decisions
Director, Data Science - Central Product Platform (CPP)
Bellevue, WA · On-site
$253K/yr
Lead the design and execution of large-scale experimentation programs, including causal inference methodologies and A/B testing frameworks, to evaluate product impact and inform investment decisions
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
The team focuses on building scalable ML and causal inference solutions to estimate the ... managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and ...
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
The team focuses on building scalable ML and causal inference solutions to estimate the ... managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and ...
Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality ... g., managing structured and unstructured data, applying statistical techniques and reporting ...
Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality ... g., managing structured and unstructured data, applying statistical techniques and reporting ...
Manager Causal Inference information
See Redmond, WA salary details
$32.5K - $41.5K
1% of jobs
$41.5K - $50.6K
5% of jobs
$50.6K - $59.7K
3% of jobs
$59.7K - $68.7K
3% of jobs
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3% of jobs
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1% of jobs
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1% of jobs
$95.9K - $105K
1% of jobs
$105K - $114K
1% of jobs
$114K - $123.1K
1% of jobs
$123.5K is the 25th percentile. Wages below this are outliers.
$123.1K - $132.2K
79% of jobs
$32.5K
$117.1K
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Applied Science Manager, Stores-Ads Science
Seattle, WA • On-site
7.4
Based on 7,128 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Good employer
Recommended by students
Paid breaks
Respectful managers
Good training
Full-time
Re-posted 13 days ago
Job description
Amazon's Stores-Ads Science team operates at the intersection of Amazon's Stores and advertising businesses. We develop causal measurement systems, optimization algorithms, and machine learning models that inform how advertising affects shopper engagement, driving selling partner growth and marketplace economics. Our science shapes decisions both at the strategic level and in production systems.
We are a team of interdisciplinary scientists who combine causal inference, economic modeling, and machine learning to drive measurable business impact.
We are looking for an Applied Science Manager to lead our Ads Impact initiative. This team owns the science of understanding and optimizing how advertising creates value for shoppers and selling partners. What makes this role distinctive is its position at the frontier of AI and Economics: as Amazon's shopping experience evolves from traditional search toward LLM-powered, agentic commerce, the fundamental mechanisms through which advertising creates value are changing
This role will partner with leading scientists and academic researchers to measure these effects through large-scale causal experimentation, and develop novel methods to encode causal and economic reasoning into AI systems that optimize the shopping experience.
Key job responsibilities
In this role, you will lead a team of scientists, setting the technical vision and science roadmap for ads impact measurement and optimization. You will design experiments that identify the causal mechanisms through which advertising drives shopper engagement, advertiser value, and marketplace outcomes. You will develop optimization algorithms that integrate these causal signals into production and business decision-making, in close partnership with engineering and product teams across the organization
You will lead the research and communicate findings and recommendations to senior leadership through written narratives that connect technical science to business strategy.
This role requires deep expertise in causal inference and experimental design, combined with strong applied ML skills and the engineering judgment to translate research into production systems. You will hire and develop future science leaders, think strategically, set ambitious roadmaps in highly ambiguous problem spaces, and foster a culture that values both intellectual depth and production impact. You will work cross-functionally, influencing across organizational boundaries to drive alignment on complex, multi-sided tradeoffs.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US