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Causal Inference Phd Internship Jobs in Washington

GEICO

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

... • Causal Inference: Apply causal methods (difference-in-differences, synthetic control ... MS or PhD in a quantitative discipline. • Industry: Insurance or financial services experience.

Geico

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental ... MS or PhD in a quantitative discipline. Industry: Insurance or financial services experience.

Geico

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

GEICO

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

Umd

Senior Faculty Specialist

College Park, MD · On-site

Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...

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Causal Inference Phd Internship information

What is a causal inference PhD internship?

A Causal Inference PhD Internship is a specialized research position for doctoral students focused on causal inference, which involves determining cause-and-effect relationships from data. Interns typically work with large datasets, advanced statistical models, and machine learning techniques to answer questions about how variables influence one another. These internships are often offered by tech companies, research labs, or policy organizations and provide hands-on experience in designing experiments, analyzing observational data, and developing new methodologies. The goal is to bridge academic research with real-world applications, contributing to projects that require rigorous causal analysis.

What types of projects does a causal inference PhD intern typically work on during their internship?

Causal Inference PhD interns often engage in projects that involve designing and analyzing experiments or observational studies to draw valid conclusions about cause-and-effect relationships. These projects might include developing statistical models, collaborating with data scientists and product teams, and presenting findings to inform business or policy decisions. Interns usually have the opportunity to work with large-scale, real-world data, and are encouraged to publish or present their work at conferences, supporting both professional growth and academic development.

What are the key skills and qualifications needed to thrive as a causal inference PhD intern, and why are they important?

To thrive as a Causal Inference PhD Intern, you need a strong background in statistics, econometrics, and causal inference methods, often supported by advanced graduate studies in a related field. Familiarity with statistical programming languages such as R or Python, and experience using data analysis tools and frameworks like Stata or TensorFlow Probability, are typically required. Excellent problem-solving abilities, critical thinking, and the ability to communicate complex concepts clearly help you stand out in this role. These skills and qualities are crucial for designing robust experiments, drawing reliable conclusions, and effectively collaborating with interdisciplinary research teams.

What is the difference between Causal Inference Phd Internship vs Data Scientist Internship?

AspectCausal Inference Phd InternshipData Scientist Internship
Required CredentialsPhD in statistics, economics, or related fieldBachelor's or Master's in CS, statistics, or related field
Work EnvironmentResearch-focused, academic or industry research teamsData analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, tech companies, financeTech firms, startups, finance, healthcare
Search & Comparison IntentFocus on causal inference research rolesBroader data analysis roles

While a Causal Inference Phd Internship emphasizes research in causal analysis with advanced credentials, a Data Scientist Internship covers broader data analysis skills suitable for various industries. Both roles involve working with data, but their focus, required background, and career paths differ significantly.

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What job categories do people searching Causal Inference Phd Internship jobs in Washington look for?

The top searched job categories for Causal Inference Phd Internship jobs in Washington are:

What cities in Washington are hiring for Causal Inference Phd Internship jobs?

Cities in Washington with the most Causal Inference Phd Internship job openings:

Causal Inference Phd Internship jobs near you
Infographic showing various Causal Inference Phd Internship job openings in Washington as of August 2026, with employment types broken down into 8% Internship, 58% Full Time, 26% Part Time, 3% Temporary, and 5% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Research Scientist and AI and Machine Learning

AIToolboard

Ashburn, VA • On-site

$130 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Jobs / Research Scientist and AI and Machine Learning

Research Scientist and AI and Machine Learning

Full-time

About the Role

Research Scientist – AI & Machine LearningNovateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.We are hiring Research Scientists passionate about advancing foundational AI methods for perception and reasoning. You will pursue original research in machine learning, multimodal integration, and explainable AI, working with collaborators from academia and national labs.

Responsibilities
  • Formulate and conduct research in large-scale machine learning and spatiotemporal analytics.
  • Publish findings in top-tier conferences and journals.
  • Collaborate on grant proposals and cross-disciplinary R&D initiatives.
  • Supervise interns and junior researchers.
Requirements
  • PhD in Computer Science, Mathematics, Physics, or related field.
  • Deep understanding of statistical learning, computer vision, or representation learning.
  • Ability to transition research concepts into implementable systems.
Preferred
  • Experience with multimodal learning, uncertainty quantification, or causal inference.

Join a team that values creativity and initiative. Our scientists and engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company BenefitsNovateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

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