... research, internships, consulting engagements, or professional work * Proficiency in SQL ... Experience with econometrics, causal inference, forecasting, machine learning, or other advanced ...
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... research, internships, consulting engagements, or professional work * Proficiency in SQL ... Experience with econometrics, causal inference, forecasting, machine learning, or other advanced ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Internship Causal Inference information
See Montclair, CA salary details
$9.22 - $10.57
2% of jobs
$10.57 - $11.91
2% of jobs
$11.91 - $13.26
3% of jobs
$13.26 - $14.61
17% of jobs
$14.69 is the 25th percentile. Wages below this are outliers.
$14.61 - $15.95
18% of jobs
The median wage is $16.67 / hr.
$15.95 - $17.30
16% of jobs
$17.30 - $18.64
11% of jobs
$19.07 is the 75th percentile. Wages above this are outliers.
$18.64 - $19.99
20% of jobs
$19.99 - $21.34
6% of jobs
$21.34 - $22.68
3% of jobs
$22.68 - $24.03
2% of jobs
$9
$17
$24
How much do internship causal inference jobs pay per hour?
As of Aug 2, 2026, the average hourly pay for internship causal inference in Montclair, CA is $17.47, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 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?
| Aspect | Internship Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Undergraduate or graduate in statistics, economics, or related fields | Degree in statistics, data science, or related fields |
| Work Environment | Research-focused, often in academia or research institutions | Business, corporate, or consulting settings |
| Employer & Industry Usage | Universities, research labs, tech companies | Finance, marketing, healthcare, tech companies |
| Comparison Search Intent | Understanding causal inference techniques during internships | Analyzing 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.
What cities near Montclair, CA are hiring for Internship Causal Inference jobs? Cities near Montclair, CA with the most Internship Causal Inference job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 24 days ago
Job description
Company Description
Additional Information
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job DescriptionThe Business Analytics & Research (BAR) group is part of NBCUniversal’s Intellectual Property Analytics, Operations, and Technology (IPAOT) team responsible for supporting NBCUniversal’s content globally. The BAR team combines data science, economics, consumer research, and business analytics to understand how audiences discover and consume content, quantify the impact of piracy on NBCUniversal businesses, evaluate the effectiveness of content protection efforts, and identify emerging risks in the rapidly evolving digital media ecosystem.
The Jr. Data Scientist will support a wide range of analytical initiatives that inform content protection, distribution, streaming, and business strategy decisions across NBCUniversal's film, television, sports, and direct-to-consumer businesses.
Responsibilities:
- Analyze large and complex datasets to identify trends in consumer behavior, content consumption, piracy activity, and digital distribution
- Support and enhance existing analytical models, reporting products, dashboards, and research programs while contributing to the development of new analytical capabilities
- Support the development and maintenance of statistical models used to measure the impact of piracy and content protection activities on business outcomes
- Assist with forecasting, risk assessment, title prioritization, and strategic decision-support initiatives
- Develop recurring reports, dashboards, and data products that provide timely intelligence and present to business stakeholders and senior leadership
- Conduct exploratory analyses to uncover drivers of piracy behavior, content demand, and audience engagement
- Support research projects that combine survey data, behavioral data, business performance metrics, and empirical piracy datasets to answer strategic business questions
- Partner with research, operations, and technology teams to improve data quality, analytical workflows, and reporting capabilities
- Translate analytical findings into clear business recommendations through presentations, visualizations, and written summaries
- Explore and evaluate new analytical approaches, including AI, statistical modeling, machine learning, and emerging data science techniques
- Support ad hoc analyses and special projects across the broader IPAOT organization
Basic Requirements:
- Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Operations Research, Social Science, or a related quantitative field
- 2+ years of demonstrated experience applying quantitative analysis to real-world problems through academic research, internships, consulting engagements, or professional work
- Proficiency in SQL
- Experience using Python, R, or similar analytical programming languages
- Understanding of statistical concepts including hypothesis testing, regression analysis, experimental design, and predictive modeling
- Experience cleaning, validating, and analyzing structured datasets
- Ability to communicate analytical findings clearly to both technical and non-technical audiences
- Experience creating data visualizations and dashboards using Tableau, Power BI, or similar tools
- Strong analytical thinking, intellectual curiosity, and problem-solving skills
- Proficiency in Microsoft Excel and PowerPoint
Desired Characteristics:
- Experience with econometrics, causal inference, forecasting, machine learning, or other advanced analytical techniques
- Experience working with behavioral, consumer, digital media, technology, or content-related datasets
- Familiarity with cloud-based analytics environments, data warehousing technologies, or modern data engineering workflows
- Exposure to survey research, experimentation, or consumer insights methodologies
- Knowledge of the media, entertainment, streaming, technology, or digital platform landscape
- Experience leveraging AI-assisted tools to improve analytical workflows and productivity
- Interest in understanding consumer behavior and decision-making within digital media and technology ecosystems
- Interest in content protection, online piracy, cybersecurity, or technology policy
Hybrid: This position currently has a hybrid schedule, which requires contributing from the Universal City, CA office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary Range: $70,000 - $85,000
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.