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Manager Causal Inference Jobs (NOW HIRING)

Apple

Applied ML Science Manager

Cupertino, CA · On-site

We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference ...

Walmart

Senior Manager, Advanced Analytics

Newark, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Bentonville, AR · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Cupertino, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Oakland, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Berkeley, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Richmond, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Alameda, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Palo Alto, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Fremont, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Hayward, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Daly City, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

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Manager Causal Inference information

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$29K

$104.6K

$118K

How much do manager causal inference jobs pay per year?

As of Jul 13, 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.

How does a Manager of 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.

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 of Causal Inference, and why are they important?

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.
More about Manager Causal Inference jobs
What cities are hiring for Manager Causal Inference jobs? Cities with the most Manager Causal Inference job openings:
What are the most commonly searched types of Causal Inference jobs? The most popular types of Causal Inference jobs are:
What states have the most Manager Causal Inference jobs? States with the most job openings for Manager Causal Inference jobs include:
What job categories do people searching Manager Causal Inference jobs look for? The top searched job categories for Manager Causal Inference jobs are:
Manager Causal Inference jobs near you
Infographic showing various Manager Causal Inference job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.
Applied ML Science Manager

Applied ML Science Manager

Apple

Cupertino, CA • On-site

Full-time

Re-posted 9 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference, statistics, and machine learning to help drive key business decisions and optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied ML Science Manager, you will have the responsibility of leading a highly talented team of scientists and engineers dedicated to pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers, focusing on Services such as Apple TV, Apple Music, Apple One, and the App Store. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key business initiatives and marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership, you will be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving within your team.
Minimum Qualifications
Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
3+ years of experience in a leadership or management role, leading Applied Scientists, Machine Learning Engineers and Data Scientists
5+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching
Working knowledge of Marketing Mix models and validation through Matched Market testing
Practical expertise leveraging Customer Lifetime Value models to drive business decision-making
Solid understanding of AIML technologies including Generative AI
Proven track record of successfully delivering complex projects from start to finish
Proficiency in programming languages such as Python, R, SQL, Java, or C++
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
PhD in related field
Hands-on experience leveraging Generative AI to improve productivity and generate new insights
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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