ZipRecruiter

Log In

1

Phd Causal Inference Jobs (NOW HIRING)

Instacart

OR · On-site

We are in particular looking for current or recently graduated PhD students in economics or related ... Expertise in causal inference with observational and experimental data. * Expertise in Python or R ...

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied Scientist

Austin, TX · On-site

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related fieldHands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied ML Science Manager

Cupertino, CA

$198K - $342K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc ...

RTI International

Senior Biostatistician

Glassboro, NJ · On-site +1

Experience with causal inference methods (e.g., propensity score methods, weighting, marginal ... Master's degree with 6 years of relevant experience, or PhD with 1 year of relevant experience in ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Qualifications Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science ...

next page

Showing results 1-20

All JobsPhd Causal Inference Jobs

Phd Causal Inference information

See salary details

$40K

$122.9K

$178.5K

How much do phd causal inference jobs pay per year?

As of Jun 19, 2026, the average yearly pay for phd causal inference in the United States is $122,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $138,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Causal Inference researcher, and why are they important?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in Causal Inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What is a PhD in Causal Inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.
More about Phd Causal Inference jobs
What cities are hiring for Phd Causal Inference jobs? Cities with the most Phd Causal Inference job openings:
What states have the most Phd Causal Inference jobs? States with the most job openings for Phd Causal Inference jobs include:
What job categories do people searching Phd Causal Inference jobs look for? The top searched job categories for Phd Causal Inference jobs are:
Phd Causal Inference jobs near you
Senior Data Scientist - Growth Measurement

Senior Data Scientist - Growth Measurement

Roblox

San Mateo, CA

Other

Posted 3 days ago

Job description

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY GROWTH MEASUREMENT?

In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team.

You Will:
  • Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
  • Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
  • Contribute to the development of a robust data infrastructure to support user growth.
  • Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
  • Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.
You Have:
  • A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
  • 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation.
  • Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
  • Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
  • Experience in the gaming industry and/or multisided marketplaces.

Apply