Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation. If so, come join Amazon Ads to be ...
Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation. If so, come join Amazon Ads to be ...
Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation. If so, come join Amazon Ads to be ...
Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation. If so, come join Amazon Ads to be ...
The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects. Responsibilities : • Solve the "Why," not just the "What": You ...
The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects. Responsibilities : • Solve the "Why," not just the "What": You ...
Apply statistical methods and causal inference techniques to measure impact and inform decisions * Build metrics, analytical frameworks, and dashboards that improve visibility into product and ...
Apply statistical methods and causal inference techniques to measure impact and inform decisions * Build metrics, analytical frameworks, and dashboards that improve visibility into product and ...
Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions Disambiguate problems to propose clear evaluation frameworks and ...
Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions Disambiguate problems to propose clear evaluation frameworks and ...
Director, Marketing Data Science
New York, NY · On-site +1
You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches) and have informed opinions about what actually works. * Energized by building something new. You'd ...
Director, Marketing Data Science
New York, NY · On-site +1
You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches) and have informed opinions about what actually works. * Energized by building something new. You'd ...
You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows. This is a high ...
You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows. This is a high ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
Working on causal inference methods * Developing optimization models for various execution objectives * Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
Working on causal inference methods * Developing optimization models for various execution objectives * Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
This role offers the unique opportunity to shape the science strategy for a new and fast-growing business, working at the intersection of machine learning, generative AI, causal inference, and ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
This role offers the unique opportunity to shape the science strategy for a new and fast-growing business, working at the intersection of machine learning, generative AI, causal inference, and ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
Working on causal inference methods * Developing optimization models for various execution objectives * Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
Working on causal inference methods * Developing optimization models for various execution objectives * Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
(USA) Principal, Data Scientist
Hoboken, NJ · On-site
$132K - $264K/yr
We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable ...
(USA) Principal, Data Scientist
Hoboken, NJ · On-site
$132K - $264K/yr
We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior ...
Senior Staff Data Scientist
Manhattan, NY · On-site
$240 - $249.50/hr
Develop causal inference and experimentation frameworks that help Wonder understand which product, operational, and marketplace changes truly drive business impact.* Partner with engineering to drive ...
Senior Staff Data Scientist
Manhattan, NY · On-site
$240 - $249.50/hr
Develop causal inference and experimentation frameworks that help Wonder understand which product, operational, and marketplace changes truly drive business impact.* Partner with engineering to drive ...
Causal Inference information
Is causal inference still relevant?
Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.
What skills and qualifications are needed for a causal inference position?
Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.
What jobs use causal inference?
Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.
What are common challenges faced in a causal inference position?
Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.
What is a causal inference?
A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.
What are the most commonly searched types of Causal Inference jobs in New York?
The most popular types of Causal Inference jobs in New York are:
What are popular job titles related to Causal Inference jobs in New York?
For Causal Inference jobs in New York, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in New York look for?
The top searched job categories for Causal Inference jobs in New York are:
What cities in New York are hiring for Causal Inference jobs?
Cities in New York with the most Causal Inference job openings:
Full-time
Re-posted 12 days ago
Amazon rating
7.4
Based on 7,086 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business. Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation. If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team!
Our work builds the foundations for providing customer-facing advertising measurement tools, furthering internal research & development, and building out Amazon's advertising measurement offerings.
Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions, and this role will play a key role in the release and expansion of these offerings.
We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems
You should have strong analytical and communication skills, be able to work with product managers to define key business questions and work with the engineering team to bring our solutions into production. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon advertising, and also allow you to become part of our large science community.
Key job responsibilities
Apply expertise in ML/DL, AI, and causal modeling to develop new models that describe how advertising impacts customers' actions
Own the end-to-end development of novel scientific models that address the most pressing needs of our business stakeholders and help guide their future actions
Improve upon and simplify our existing solutions and frameworks
Review and audit modeling processes and results for other scientists, both junior and senior
Work with leadership to align our scientific developments with the business strategy
Identify new opportunities that are suggested by the data insights
Bring a department-wide perspective into decision making
Develop and document scientific research to be shared with the greater science community at Amazon
About the team
AIM is a cross disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically-rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes
The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting millions in advertising spend.
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 and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US