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 person 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

How we pay

We take a structured, objective approach to salary-setting, which is based on market information, our compensation strategy, and your experience and capability as assessed through our interview process.

For a typical candidate with some commercial experience, plus most of our requirements we would likely pay £100,000 + options.

For a candidate with a breadth of experience, and who meets several of our bonus criteria, we'd pay up to £130,000 + options.

Benefits

  • Stock options (you'll own a piece of the pie)
  • Parental Leave Policy entitling new parents up to 26 weeks of leave on full pay
  • Everyone has an annual learning budget of £2,400 which we encourage you to use to level up
  • Time to rest and relax with unlimited paid leave (minimum expectation of 25 days annually)
  • Extensive training and development opportunities
  • Automatic enrolment into our pension scheme from day one
  • Free access to Spill, our mental health partners

Diversity, Equity & Inclusion
At Permutive, we’re taking a thoughtful, intersectional, long-term approach to diversity, equity & inclusion. We care deeply about creating an inclusive work environment that allows everyone to flourish, and we are taking continual action to progress in that direction. If you would like to read an outline of efforts we have already made towards becoming a more inclusive company as well as insight into what we are actively working on, you can find that information here.

How we are responding to COVID-19
We have a presence in London and New York. At the beginning of March 2020 we made the decision to move to working from home for all Permutive employees until 2022. We have invested significant time and budget into ensuring that everyone is suitably equipped to manage this time period. Our guiding principle behind any decision we make will always be the health and well-being of our employees.

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