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Phd Causal Inference Jobs in Seattle, WA (NOW HIRING)

Twitch

Data Scientist

Seattle, WA

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

Expedia

Senior Economist

Seattle, WA

$277K/yr

Partner with ML teams to integrate causal inference into production systems, informing ranking ... PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field * 8+ ...

Twitch

Data Scientist

Seattle, WA · On-site

$157K - $212K/yr

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Masters or PhD in Computer Science Statistics Mathematics or a related field. * Proficiency in ... Strong knowledge of statistics experimental design and causal inference. * Handson experience with ...

Amazon

Applied Science Manager, CBA

Seattle, WA · On-site

The right candidate has deep expertise in ML and causal inference, judgment about when to invent ... PhD, or Master's degree - Knowledge of machine learning approaches and algorithms PREFERRED ...

Amazon

Applied Scientist, Pricing Science

Seattle, WA · On-site

We're hiring an Applied Scientist to own causal inference at the intersection of ML and pricing ... PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience ...

Amazon

Sr. Economist, Pricing Science

Seattle, WA · On-site

$104K - $132K/yr

Provide causal inference guidance on pricing experiment questions as they arise - being the ... BASIC QUALIFICATIONS - PhD in economics or equivalent PREFERRED QUALIFICATIONS - Experience in ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... causal inference, and other related disciplines * Programming skills and familiarity of modern ML ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... causal inference, and other related disciplines * Programming skills and familiarity of modern ML ...

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All JobsPhd Causal Inference JobsPhd Causal Inference Jobs in Seattle, WA

Phd Causal Inference information

See Seattle, WA salary details

$45.5K

$139.9K

$203.1K

How much do phd causal inference jobs pay per year?

As of Jul 31, 2026, the average yearly pay for phd causal inference in Seattle, WA is $139,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $157,000.00 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.
What are popular job titles related to Phd Causal Inference jobs in Seattle, WA? For Phd Causal Inference jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Phd Causal Inference jobs in Seattle, WA look for? The top searched job categories for Phd Causal Inference jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Phd Causal Inference jobs? Cities near Seattle, WA with the most Phd Causal Inference job openings:
Phd Causal Inference jobs near you
Infographic showing various Phd Causal Inference job openings in Seattle, WA as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $139,896 per year, or $67.3 per hour.

Applied Scientist III

Intelliswift - An LTTS Company

Seattle, WA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking an Applied Scientist III to join their Marketing Science team. The role involves developing marketing measurement models, conducting causal inference experiments, and collaborating with cross-functional teams to optimize marketing strategies.
Responsibilities:
• Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
• Build and refine CLV models to inform acquisition targeting, retention strategies, and customer segment prioritization.
• Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of marketing campaigns.
• Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
• Work with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.
Qualifications:
Required:
• Causal Inference
• Experiment Design
• Cloud Computing Experience
• PhD, or Master's degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or related field
• 3+ years of experience building machine learning models or developing algorithms for business application
• Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls)
• Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)
• Experience programming in Python, R, or related language
Preferred:
• PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field
• 5+ years of experience building marketing measurement models (MMM, CLV, multi-touch attribution)
• Experience designing and analyzing A/B tests and geo experiments at scale
• Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science)
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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