Data Science Intern

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
30-30 Hourly
Internship
AdTech
The Role
Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.
Summary Generated by Built In

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 applicant here.
 
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 [email protected]
 
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 our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Skills Required

  • PhD or MSc preferred; BSc with high GPA, multiple majors, or notable projects accepted
  • Degree or academic background in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science
  • Experience with graph algorithms and network analysis
  • Experience with large-scale data analysis
  • Knowledge of data quality and anomaly detection
  • Agentic or AI-assisted software development experience
  • Familiarity with distributed data platforms such as Snowflake or Databricks
  • Strong Python and SQL skills
  • Knowledge of applied statistics and probability
  • Machine learning fundamentals
  • Experience with experiment design and causal reasoning
  • Knowledge of optimization and decision-making under uncertainty
  • Ability to write clean, maintainable analytical code
  • Non-agentic software development experience
  • Ability to evaluate models beyond headline metrics
  • Experience moving from research idea to prototype to validated result
  • Ability to translate ambiguous problems into mathematical or statistical formulations
  • Strong understanding of uncertainty, bias, variance, and noisy data
  • Strong quantitative reasoning and mathematical knowledge
  • Advanced analytical problem-solving, debugging, and root-cause analysis skills
  • Ability to recognize incorrect results and work with incomplete, messy, or contradictory data
  • Ability to form and test hypotheses quickly
  • Strong communication and teamwork skills
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The Company
HQ: Palo Alto, CA
152 Employees
Year Founded: 2011

What We Do

Since 2017, Wurl has been on a mission to make TV better for everyone. Today, Wurl is the world leader in powering streaming TV. Our video distribution and advertising services reach over 300 million connected TVs, delivering hundreds of millions of hours of TV viewing and millions of individually targeted ads. Wurl’s innovative, market-leading technologies enable content companies, streamers and advertising to continually reach new viewers and grow revenue.

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