ZipRecruiter

Log In

1

Internship Causal Inference Jobs in California (NOW HIRING)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Familiarity with causal inference methods (propensity score matching, instrumental variables) and ...

previous pagenext page

Showing results 21-40

All JobsCausal Inference JobsInternship Causal Inference JobsInternship Causal Inference Jobs in California

Internship Causal Inference information

What is an internship in causal inference?

An Internship in Causal Inference is a temporary position, typically for students or early-career professionals, that focuses on learning and applying methods to determine cause-and-effect relationships in data. Interns in this field work with statistical models, experimental designs, and software tools to analyze data and infer causal relationships, often in fields like economics, public health, or data science. These internships provide hands-on experience with real-world datasets, mentorship from experienced researchers, and opportunities to contribute to ongoing projects. Participants gain valuable skills in programming, statistical analysis, and research methodology, which are highly sought after in both academia and industry.

What types of projects and team collaborations can I expect during an internship in causal inference?

As an intern in Causal Inference, you will typically work on projects focused on analyzing data to determine cause-and-effect relationships, such as assessing the impact of interventions or policy changes. You may collaborate with data scientists, statisticians, and domain experts, contributing to experimental design, data cleaning, and the application of statistical methods. Interns often participate in weekly team meetings, present findings, and receive mentorship from senior researchers. This hands-on experience provides valuable exposure to both technical skills and interdisciplinary teamwork, which are crucial for growth in quantitative research roles.

What are the key skills and qualifications needed to thrive as an internship in causal inference, and why are they important?

To thrive in an Internship Causal Inference role, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or degrees in statistics, economics, or related quantitative fields. Familiarity with statistical programming languages such as R or Python, and experience with causal inference frameworks and tools like propensity score matching or regression discontinuity, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret results and collaborate with research teams. These skills and qualities are essential to ensure rigorous and meaningful analysis that informs data-driven decisions.

What is the difference between Internship Causal Inference vs Data Analyst?

AspectInternship Causal InferenceData Analyst
Required CredentialsUndergraduate or graduate in statistics, economics, or related fieldsDegree in statistics, data science, or related fields
Work EnvironmentResearch-focused, often in academia or research institutionsBusiness, corporate, or consulting settings
Employer & Industry UsageUniversities, research labs, tech companiesFinance, marketing, healthcare, tech companies
Comparison Search IntentUnderstanding causal inference techniques during internshipsAnalyzing data to inform business decisions

Internship Causal Inference roles focus on applying statistical methods to identify cause-effect relationships, often in research settings. Data Analyst roles involve interpreting data to support business strategies. While both require analytical skills, causal inference internships emphasize research and advanced statistical techniques, whereas data analyst positions focus on data processing and reporting.

What are the most commonly searched types of Causal Inference jobs in California?

The most popular types of Causal Inference jobs in California are:

What are popular job titles related to Internship Causal Inference jobs in California?

For Internship Causal Inference jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Internship Causal Inference jobs?

Cities in California with the most Internship Causal Inference job openings:

Internship Causal Inference jobs near you
Infographic showing various Internship Causal Inference job openings in California as of August 2026, with employment types broken down into 10% Internship, 61% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Research Engineer Intern (Ads ML Infra) - 2026 Start (PhD)

Ellis Technologies, Inc.

San Jose, CA • On-site

$68.19 - $97.12/hr

Other

Medical, Life

Posted 19 days ago

Job description

Location

San Jose

Employment Type

Intern

Job Code

A126729

Responsibilities
  • Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
  • Provide technical leadership and guidance to team members and project peers.
  • Communicate cross‑functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
  • Lead innovation efforts, and bring in new ideas and technologies.
Qualifications
  • PhD degree in computer science or related technical disciplines.
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem‑solving skills.
  • Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
  • Experience in managing projects.
  • Experience in Ads domain (preferred).
  • Experience with building large‑scale ranking infrastructure (preferred).
Job Information

The hourly rate range for this position in the selected city is $60-$60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (unincorporated) Candidates
  • Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues.
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems.
  3. Exercising sound judgment.
Privacy Policy

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

#J-18808-Ljbffr

Apply