VP, Data Science (Remote)

Department: Engineering
Location: New York
Updated on: June 24, 2022

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This job can be performed Remotely (anywhere in the US)

We are currently looking for a VP, Data Science to support the ongoing development of MediaMath’s proprietary algorithms and analytics. As part of our Data Science team, you will be working on the conception, design, development, testing, and deployment of real-world applications of models & data that impact billions of dollars of marketing spend. From optimizing real-time bidding auctions, to separating human from non-human web traffic, to building out a global cross-device graph across billions of users, you will have the opportunity to work on numerous cutting-edge problems and develop scalable, high-performance solutions to big data problems using state-of-the art technologies, languages and frameworks.


You will:


  • Design and develop Machine Learning models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest to the company (e.g., bidding optimization, messaging optimization, multi-touch attribution, fraud detection, device identification, cross-device association).
  • Partner closely with Engineering on the architecture and implementation of modeling efforts to ensure performance and scalability.
  • Work seamlessly with Product and Analytics to define concrete measures of success, including business level goals as well as improvement of client outcomes.
  • Develop tools and processes to monitor performance of existing models and implement enhancements to improve scalability, reliability, and performance.


You have:


  • BS, Masters, or PhD degree with 10+ years of industry experience in a quantitative discipline (e.g., Computer Science, Math, Physics, Statistics, Electrical Engineering, or similar).
  • Experience in implementing projects in any of (or all of) the following ML toolkits: Tensorflow, scikit-learn, Pytorch.
  • Previously participated in deploying Machine Learning Models all the way from research to production pipeline.
  • Worked with large and highly imbalanced datasets and developed good intuition on tradeoffs between accuracy, training speed and deployment constraints.
  • Related and adjacent experience with data architecture and engineering.
  • At least a year of software development experience in Scala and/or Python. Experience with Golang a plus and something you will gain experience with here.

You are:


  • Hands-on with a passion "in-the-trenches" work with real-world datasets resulting in actual business outcomes and better client results.
  • An influencer with strong communication skills, and the ability to effectively discuss models with other Data Scientists as well as business partners at the appropriate level of technical detail.
  • Fast learner who is an analytic thinker and creative problem solver.