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Manager Causal Inference Jobs (NOW HIRING)

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...

Deep expertise in experimentation and causal inference. * Strong knowledge of Bayesian modeling and ... your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc ...

The ideal candidate is equally comfortable discussing causal inference and statistical power with ... Experience with experimentation platforms, feature management systems, product analytics, or ...

This is not a traditional data engineering management role. We are looking for a leader with a ... The ideal candidate is equally comfortable discussing causal inference and statistical power with ...

This is not a traditional data engineering management role. We are looking for a leader with a ... The ideal candidate is equally comfortable discussing causal inference and statistical power with ...

... Causal Inference and Machine Learning tools * Partner closely with other business leaders, product managers, and other data scientists to refine and scale your findings * Present your research and ...

Showing results 41-60

Manager Causal Inference information

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$29K

$104.6K

$118K

How much do manager causal inference jobs pay per year?

As of Sep 12, 2026, the average yearly pay for manager causal inference in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a manager causal inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager causal inference?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
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Infographic showing various Manager Causal Inference job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Applied Science Manager, Stores-Ads Science

Seattle, WA

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 27 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,173 frontline employees who took The Breakroom Quiz


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.


What Amazon employees say

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Benefits

Hours and flexibility

Workplace

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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