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Summer Causal Inference Jobs in Newark, NJ (NOW HIRING)

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Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

Design, execute, and interpret experiments (e.g., A/B testing, causal inference methods) to ... Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and ...

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Summer Causal Inference information

See Newark, NJ salary details

$11

$18

$24

How much do summer causal inference jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for summer causal inference in Newark, NJ is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $21.63 per hour, depending on experience, location, and employer.

What is a summer causal inference?

A Summer Causal Inference position is typically a short-term research or internship role focused on applying statistical methods to determine causal relationships between variables, often in fields like economics, public policy, or data science. Individuals in this position work on projects that require designing experiments or analyzing observational data to infer causality rather than just correlation. The role is ideal for students or early-career professionals seeking hands-on experience in causal inference techniques during the summer months.

What types of projects and methodologies can I expect to work on as a summer causal inference intern?

As a Summer Causal Inference intern, you'll typically work on projects involving the design and analysis of experiments or observational studies to determine cause-and-effect relationships. You may use methodologies such as propensity score matching, difference-in-differences, instrumental variables, or regression discontinuity designs. Collaboration with data scientists, economists, and business stakeholders is common, as you'll help translate findings into actionable insights. Expect to handle real-world datasets and communicate your results through presentations or reports, gaining valuable experience in both technical and applied aspects of causal inference.

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

To thrive as a Summer Causal Inference Researcher, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical programming languages like R or Python and experience using tools such as STATA or MATLAB are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These skills and qualities are crucial for accurately identifying causal relationships in data and effectively collaborating within interdisciplinary research teams.

What are popular job titles related to Summer Causal Inference jobs in Newark, NJ?

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What cities near Newark, NJ are hiring for Summer Causal Inference jobs?

Cities near Newark, NJ with the most Summer Causal Inference job openings:

Summer Causal Inference jobs near you
Infographic showing various Summer Causal Inference job openings in Newark, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 34% Full Time, 57% Part Time, 1% Temporary, and 6% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $37,855 per year, or $18.2 per hour.

Senior Analyst, E-commerce Optimization & Insights

David Yurman

Manhattan, NY • On-site

$120 - $140/hr

Other

Medical, Retirement, PTO

Re-posted 4 days ago

David Yurman rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

5th of 30 rated jewelry retailers

Job description

**Job Title:**Senior Analyst, Experimentation looking for a hands-on Senior Analyst to own experimentation strategy and execution across Email, Paid Media, CRM lifecycle, and E-commerce. This role **Essential Duties & Responsibilities:**Maintain a test knowledge base so learnings compound over time. **Essential Qualifications:** Strong knowledge of experimental design and causal inference fundamentals, including A/B testing, holdouts, power, bias, and confounders. Advanced SQL skills in Snowflake, BigQuery, Redshift, or similar. Comfortable working with behavioral and transaction datasets.Experience measuring marketing and lifecycle programs, including Email and paid media, with incrementality thinking. Ability to communicate results clearly to mixed audiences and drive decisions. **Other Qualifications:** Experience with onsite testing platforms such as Optimizely, Adobe Target, AB Tasty, or Dynamic Yield.Familiarity with CDPs and lifecycle tools such as Salesforce Marketing Cloud **Core Competencies:****Estimated Base Compensation:** $120,000-140,000Base pay is one component of David Yurman’s total compensation package, which may also include the following for eligible employees: access to healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, sick time, and more.**Location:** TriBeca NYC / Hybrid (Monday – Friday) #J-18808-Ljbffr

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