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Job Overview

Permutive is looking for a pragmatic Data Scientist to help us towards a world where consumer data is useful but not at the expense of people's privacy.

You will join our modeling team, responsible for designing, building and measuring the Machine Learning powered products and building processes for Data Science projects. You will initially report to our modeling Team Lead and work closely with a Data Scientist, Backend Engineers and the rest of engineering team.

A huge part of this role will involve ownership over the quality and accuracy of our models along with having a hand in the operational aspects of deploying learned models at scale. You'll also be involved in establishing how we measure the performance of our models and improve their accuracy.

We’re looking for someone to own the challenges and interesting questions that come with the scale of our data and work with us to help answer questions on how we can utilise data to continuously benefit our products.

As one of the earlier members of this team, we’re excited to hire someone who can take ownership and has the characteristics to provide higher level insight to enable us to shape how we approach data by replacing third party data with modelling in the open marketplace.

The wider context

Permutive is a B2B SaaS company building the data platform and tools for a world with a trillion edge devices. We have product–market fit and customers that love us, and we’re 90+ people and growing rapidly in Europe and the US. We have received funding from some of the world’s best investors, including Y Combinator.

We’re 30 engineers working to build an outstanding engineering culture so that everyone who joins has the opportunity and the support to do the best work of their life. Small, autonomous teams are important to us, and we want to empower everyone to make—and be accountable for—decisions through ownership

Everything we build has to scale: our platform handles more requests each day than there are new tweets and Google searches, and each month we see more than a billion users. We think applying functional programming techniques like compositionality and type-safety is the best way to build the type of massive distributed system our platform comprises, allowing us to move fast without sacrificing quality.

The ideal candidate will have

  • Experience designing and recommending workflows and establishing best practice when building and experimenting with machine learning models.
  • Experience building production systems backed by machine learning.
  • Experience working closely with engineers to build machine learning models.
  • Commercial experience with large-scale machine learning models
  • Python and/or Scala experience.
  • Cloud experience with GCP and/or AWS.
  • Experience with Machine Learning problems in recommender systems and classifiers

We'd be particularly excited if you have one or more of the below

  • Experience building with anonymous user data and behaviours.
  • Experience with BigQuery
  • Experience within the AdTech space.
  • Data engineering and pipeline experience e.g. Kafka or Spark

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Permutive Overview

Permutive is the only publisher data platform built on edge computing. We enable publishers to increase their data driven advertising revenue and make revenue diversification a reality, whilst keeping user privacy at the heart of our technology. Some of our customers include BuzzFeed, Business Insider, The Economist, Condé Nast International, Immediate Media and Burda Forward

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