Data Science Intern

Wurl

United States

Remote

USD 37,000 - 45,000

Full time

14 days+
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Benefits offered by this job

Paid internship
Remote-first
Mentorship program

Job summary

Wurl, LLC is offering a year-long internship for candidates with strong academic credentials in data analytics to join our Data Science and ML team.

Ideal candidates are pursuing a PhD or MSc in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science, and will analyze large datasets, normalize data, and contribute to data products. Remote-first, paid at $30/hr, with mentorship from experienced engineers.

Qualifications

  • PhD/MSC preferred; strong academic record in data analytics.
  • Fields: DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.
  • Familiarity with distributed data platforms and modern data tooling.

Responsibilities

  • Analyze data to identify anomalies and root causes; implement validations.
  • Normalize data and improve accuracy of derived datasets.
  • Increase accuracy of data products and related datasets.

Skills

Graph algorithms
Network analysis
Large-scale data analysis
Data quality
Anomaly detection
AI-assisted software development
Snowflake / Databricks
Python
SQL
Statistics
Machine learning basics
Experiment design
Causal reasoning
Optimization under uncertainty
Clean analytical code
Non agentic development

Education

PhD / MSc preferred
BSc acceptable with GPA/highlights
Field: DataScience, AI/ML, Statistics, Physics, Mathematics, CS

Tools

Snowflake
Databricks

Job description

About Wurl, LLC.

At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.

In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.

About the role:

Wurl is seeking an intern with proven academic achievements in data analytics related fields for a year long internship. Wurl’s position in the video and ad delivery ecosystem generates large quantities of data that needs to be carefully analyzed and normalized. We’re looking for an intern that can become familiar with Wurl’s datasets and their usage and support our Data Science and Machine Learning team. The ideal candidate is a PhD / MSc in the field of DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.

Responsibilities:
  • Perform analysis tasks to identify anomalies and their root cause as well as propose and put in place validations to programmatically identify such conditions
  • Propose methods to normalize the data, implement them, check accuracy and iterate until sufficient accuracy is achieved
  • Increase the accuracy of derived datasets and data products
Qualifications:
Education -
  • PhD / MSC preferred. BSc with high gpa, multiple majors, notable projects is also accepted
  • Field: DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science
Technical
  • Graph algorithms and network analysis
  • Large-scale data analysis
  • Data quality and anomaly detection
  • Agentic / AI-assisted software development
  • Familiarity with distributed data platforms such as Snowflake / Databricks
  • Strong Python and SQL
  • Applied statistics and probability
  • Machine learning fundamentals
  • Experiment design and causal reasoning
  • Optimization / decision-making under uncertainty
  • Ability to write clean, maintainable analytical code
  • Non agentic development experience is mandatory
Nice to have
Modeling / Research
  • Comfortable evaluating models beyond headline metrics
  • Experience moving from research idea → prototype → validated result
  • Ability to translate ambiguous problems into mathematical or statistical formulations
  • Strong intuition for uncertainty, bias, variance, and noisy data
  • Strong quantitative reasoning and mathematical knowledge
Nice to have
Problem Solving
  • Ability to recognize when results look wrong
  • Comfortable working with incomplete, messy, or contradictory data
  • Advanced analytical problem-solving ability
  • Strong debugging and root-cause analysis skills
  • Ability to form and test hypotheses quickly
Nice to have
Personal Attributes
  • High intellectual curiosity
  • Strong ownership and initiative
  • Rapid learner
  • Independent thinker
  • Comfortable challenging assumptions
  • Willingness to continue digging into 'funny' things until they make sense
  • Effective communication skills and team player.
What We Offer:
  • Paid internship ($30/hr) with flexible scheduling.
  • Remote-first work culture and support.
  • Mentorship from experienced engineers and product experts.

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicanthere.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here.

Please read ourGlobal Applicant Privacy Noticeto learn more about how AppLovin processes your personal information.

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