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Internship Causal Inference Jobs (NOW HIRING)

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...

Product Data Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...

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Internship Causal Inference information

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How much do internship causal inference jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for internship causal inference in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 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 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.
More about Internship Causal Inference jobs
What cities are hiring for Internship Causal Inference jobs? Cities with the most Internship 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 Internship Causal Inference jobs? States with the most job openings for Internship Causal Inference jobs include:
Infographic showing various Internship Causal Inference job openings in the United States as of June 2026, with employment types broken down into 39% Internship, 14% As Needed, 24% Full Time, and 23% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Data Science Project Intern (Advertising Team) - 2026 Start (BS/MS)

Data Science Project Intern (Advertising Team) - 2026 Start (BS/MS)

TikTok

San Jose, CA • On-site

$35 - $55/hr

Internship

Medical, Life

Posted 10 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies


Job description

Responsibilities
About the Team: Join the TikTok Ads Targeting & Privacy Data Science team, a specialized group operating at the intersection of algorithmic efficiency and user protection. As the digital advertising landscape shifts toward a privacy-first era, our team is responsible for designing the next generation of targeting signals and privacy-preserving frameworks. We are dedicated to solving one of the industry's most complex challenges: How do we maximize advertiser ROI and personalization while rigorously protecting user privacy? We leverage advanced machine learning, causal inference, and differential privacy techniques to build resilient monetization products. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Analyze Targeting Efficacy: Apply expertise in quantitative analysis to evaluate the performance of ads targeting logic and identify signal loss impact on advertiser outcomes. - Privacy-First Measurement: Collaborate with Engineering and Product teams to design metrics and experiments that assess the trade-offs between targeting granularity and user privacy. - Strategic Insights: Analyze large-scale datasets to extract insights on user consent rates, non-personalized ad inventory, and signal resilience, directly influencing the roadmap for privacy-safe monetization. - Product Experimentation: Design and analyze A/B tests to validate new targeting features and privacy-enhancing technologies (PETs). - Reporting & Monitoring: Develop dashboards to monitor the health of targeting systems and the stability of ad delivery in a changing regulatory environment.
Qualifications
Minimum Qualifications: - Currently pursuing a degree in a quantitative science field such as Math, Statistics, Engineering, or a related field. - Proficiency in SQL and at least one scripting language (preferably R/Python). - Experience in using data visualization tools - Experience with large data sets and distributed computing (Hive/Hadoop) is a plus. - Proactive and independent in driving projects to completion with minimal guidance, including effective prioritization and time management skills. - Excellent communication skills, capable of effectively presenting analysis results and working collaboratively across diverse teams. - Strong curiosity; sensitive to data; good at extracting insights from data.
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $35- $55.
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.
For 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; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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