... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
... internships, or industry work * Ability to code independently without AI as well as effectively ... Causal Inference * Ability to partner with business and technical collaborators to deploy ...
Internship Causal Inference information
See Denton, TX salary details
$8.56 - $9.81
2% of jobs
$9.81 - $11.06
2% of jobs
$11.06 - $12.31
3% of jobs
$12.31 - $13.56
17% of jobs
$13.64 is the 25th percentile. Wages below this are outliers.
$13.56 - $14.81
18% of jobs
The median wage is $15.48 / hr.
$14.81 - $16.06
16% of jobs
$16.06 - $17.31
11% of jobs
$17.71 is the 75th percentile. Wages above this are outliers.
$17.31 - $18.56
20% of jobs
$18.56 - $19.81
6% of jobs
$19.81 - $21.06
3% of jobs
$21.06 - $22.31
2% of jobs
$8
$16
$22
How much do internship causal inference jobs pay per hour?
As of Aug 2, 2026, the average hourly pay for internship causal inference in Denton, TX is $16.23, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.03 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 are popular job titles related to Internship Causal Inference jobs in Denton, TX? For Internship Causal Inference jobs in Denton, TX, the most frequently searched job titles are:
What job categories do people searching Internship Causal Inference jobs in Denton, TX look for? The top searched job categories for Internship Causal Inference jobs in Denton, TX are:
What cities near Denton, TX are hiring for Internship Causal Inference jobs? Cities near Denton, TX with the most Internship Causal Inference job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 10 days ago
Job description
Company DescriptionOverview
Epsilon's Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon's marketing businesses, transforming novel ideas into production technologies with measurable business impact.
This role sits at the core of Epsilon's identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands.
Responsibilities- Individually contribute to data science and machine learning R&D projects
- Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
- Contribute to projects from early-stage research through development
- Implement and optimize innovative algorithms in distributed environments
- Develop an understanding of Epsilon personalization platform and proprietary datasets
- Participate fully in our collaborative approach to research and applications projects
Qualifications
- Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field
- Research experience and coursework in Machine Learning
- Strong understanding of statistical, analytical, and predictive modeling techniques
- Strong Python programming skills and experience with data structures, algorithms, and production-quality code development
- 2+ years of relevant programming experience through academic research, internships, or industry work
- Ability to code independently without AI as well as effectively leverage AI-assisted development tools
- Proven ability to design, execute, and deliver research projects
- Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences
- Self-motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team-oriented environments
Additional, But Not Required Skills
- Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs)
- Experience working with large, complex datasets in research or production environments
- Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases)
- Experience with cloud platforms and data ecosystems (AWS, S3, Databricks)
- Proficiency in SQL, Scala, Spark libraries, and advanced database querying
- Familiarity with LLMs, Generative AI, and agentic frameworks
- Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
- Ability to partner with business and technical collaborators to deploy algorithms into production platforms
- Experience translating research innovations into scalable, customer-facing products
- Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Additional InformationWhen You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
- People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
- Collaboration: We work together, support one another, and collectively achieve goals.
- Growth: There are endless opportunities for growth through learning, development and career advancement.
- Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
- Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and consumers.
- Act with integrity
- Work together to win together
- Innovate with purpose
- Respect all voices
- Empower with accountability
These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
- Time to Recharge: Flexible time off (FTO), 15 paid holidays
- Time to Recover: Paid sick time
- Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
- Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
#LI-IP1
Compensation Range: USD $87,100.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/31/2026.Employment Type: FULL_TIME