Junior Data Scientist

Description

Welcome to Depop. We are the social marketplace where over 10M people come to buy, sell and discover unique items. Our mission is to empower creative minds by making our platform the place for the most vibrant communities in the world.

With headquarters in London, spaces in LA and New York, we have a team of more than 100 people dedicated to enhancing and developing the Depop experience for our global communities. And we’re just getting started.

Right now, we’re on the hunt for a Junior Data Scientist to help manage a range of innovative, cross-functional machine learning projects. You'll grow quickly whilst helping Depop enhance its users’ experience.

We're currently helping build one of the most dynamic and well-funded startups in the London tech scene. Sound like your thing?



RESPONSIBILITIES

  • Collaborating with teammates on all phases of the machine learning process
  • Work closely with Machine Learning engineers to develop services and deploy your models in production
  • Help gather requirements from product managers, design a solution, develop a proof of concepts/prototype, before scaling the solution to work with our 10 million users
  • Participating and contributing to team activities such as agile scrum planning, grooming and retrospective
  • Contribute to journal club (paper research biweekly meeting) and analytics meetings.

Requirements

  • Experience designing machine learning algorithms (for university degree or in a business)
  • Strong knowledge of Python, in particular packages like pandas, scikit learn, numpy, scipy
  • Proficiency in writing SQL queries
  • Ability to design machine learning solutions to solve business problems
  • Background in computer science, math, statistics, economics or related disciplines (UK MSc or equivalent)
  • Ability to communicate complex problems to technical and non-technical audience, including a willingness to present at external functions (meetups, lunch and learn, conferences…)
  • Ability to research machine learning techniques and develop prototype services
  • Passion for learning new skills and staying up-to-date with ML algorithms
  • Be a strong team player


Bonus experience:

  • Scala programming
  • Spark (Pyspark / Scala)
  • A deep learning framework like Tensorflow/Keras/MXNet
  • Amazon Web Services (for example, Athena, S3, Sagemaker)
  • E-commerce or fashion industry a bonus
  • Working in an agile environment.

Benefits

Now we're talking. We have stylish offices near Old Street (we were founded in Italy after all) and a relaxed atmosphere where you'll get to work with a well-funded, passionate and friendly team. There are perks of course. We have 25 days holiday with options to buy/sell more, UK pension scheme , healthy snacks in the kitchen, finish early Fridays, team nights out, yoga, meditation and more. But the biggest perk of all is the opportunity to work with such a vibrant group of people building a product we all deeply care about.

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