Senior Data Scientist, Creative
Vungle London, United Kingdom Competitive Long term Senior
About Vungle

Vungle is the leading performance marketing platform for in-app video ads. Advertisers depend on Vungle's creative and LTV optimization technologies to reach and acquire high-value users worldwide. Top publishers rely on Vungle to generate revenue with engaging video ads that enhance the user experience.

Trusted by 60,000+ mobile apps worldwide, Vungle serves over 4 billion video views per month on 1 billion unique devices and is consistently top-rated in user quality by global performance indexes Vungle is backed by Google Ventures, Thomvest Ventures and Crosslink Capital. The company is headquartered in San Francisco with offices in London, Berlin, Beijing, Tokyo, Seoul and Singapore.

Job Description

We are growing our world-class global creative engineering team with diversified skills and backgrounds. As a leader in in-app video advertising, we are taking on the challenge of fundamentally changing the wider advertising industry by way of defining and actioning the true impact of creative. We create ads and experiences that make sense for users, application developers, and advertisers.

Our Data Scientists work hand in hand with Machine Learning Engineers to design and maintain production systems that process hundreds of millions of ad requests daily. Data scientists work on the offline models as well as the real-time production code, relying on frameworks like Apache Spark, TensorFlow and scikit-learn, as well as custom implementations of the latest machine learning algorithms.

In this position, you will own the development of computational models informed by neuroscience to further expand Vungle’s NeuroX project. This role requires a strong understanding of state-of-the-art techniques for deep learning, computational modeling and programming skills. You will work cross-functionally with stakeholders from Vungle Creative Labs, Engineering and Data Science to build the world’s first biometric led creative automation platform. You will also have an opportunity to participate in building Vungle’s patent portfolio.


What you’ll do:

  • Be eager to apply your data science skills across a broad range of business and technical problems
  • Design and execute multivariate testing strategies to inform creative design and improve effectiveness across a variety of user engagement metrics
  • Use biometric research data and behavioral data to develop novel machine learning algorithms with an emphasis on creative composition and optimization
  • Perform offline analysis, feature engineering, model design, and online testing to improve ad recommendation models
  • Manipulate and analyze large data sets, using a variety of tools and machine learning or statistical techniques, and share the results with the Vungle Creative Labs team
  • Develop models for sentiment/emotion evaluation/classification including NLP and deep learning approaches
  • Utilize statistical programs (e.g. R, Stata) and/or a programming language (e.g. Python) for analysis
  • Technologies used: Python, SciPy ecosystem, Apache Spark, Keras/Tensorflow, AWS, SQL, Git, Matlab
  • Develop and manage implementation of deep learning algorithms
  • Explain statistical and machine learning concepts to both technical and non-technical audiences
  • Maintain current knowledge regarding relevant research and publications in the field

Requirements

Requirements:

  • 3+ years of experience as a Data Scientist with 5+ years of total experience
  • Strong production level skills applying machine learning to large scale data problems
  • 2+ years experience developing statistical models for production applications
  • 2+ years professional experience with at least one programming language, such as Python, Java, Scala (we primarily use Python)
  • Strong understanding of fundamental machine learning concepts and algorithms
  • Expert in SQL and comfortable with various SQL or noSQL databases
  • Experience producing data visualizations and presentations in a professional environment

Preferred:

  • PhD or MS work specifically involved in the application of deep learning, machine learning and data science techniques
  • Prior experience with Spark or Hadoop
  • Experience with TensorFlow, SparkML and scikit-learn
  • Experience mentoring junior data scientists

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