Senior Data Scientist
Kifisia, Attica, Greece
πριν από 5 μέρες


wappier is introducing to the world Intelligent Revenue Management to transform the way app developers and marketers maximize consumer revenue by using powerful AI that goes beyond typical marketing automation.

We are building Next Generation, AI-Powered Technology that helps apps and brands understand, model, and optimize consumer behavior, just #automagically.

wappier was founded in 2015 to make apps happier. It was a team of 5 awesome tech veterans who aspired to revolutionize the Mobile App Ecosystem.

We are now a team of 40 people, building 2 / 3 of the company with engineering and data science roles to make our mission thrive.

Having secured our first round of financing by a top-tier US VC, we expect to be 55 by the end of 2019 to skyrocket our Intelligent Revenue Management Platform.

But don't take our word for it! wappier was selected as one of the Top 25 AI Solution Providers for 2018 in the annual AI special edition created by CIO Applications. Check it out here :

Come grow with us!

This is an exciting opportunity to join our Data Science team. The role offers broad exposure to machine learning, big data analytics and predictive analytics.

You will be part of a highly innovative team that builds hybrid, proprietary algorithms to offer data science solutions internally and for wappier's clients.

The ideal candidate will have a strong technical background and experience in solving tough problems that use large datasets.


  • Extract, clean, transform data residing in various databases and in different forms (HDFS, SQL, MongoDb)
  • Maintain, test, cross-validate, enhance existing ML models
  • Co-develop fast prototypes of ML clustering, classification, regression and econometric models
  • Co-develop with or communicate to data engineering guidelines for productization of aforementioned research models
  • Conduct A / B / n testing
  • Requirements

  • BSc / MSc in Artificial Intelligence, Machine Learning, Computer Science, Engineering, Statistics, Economics, Mathematics, Physics, Computational Biology or similar quantitative discipline
  • A passion for applying the scientific method, data science, and machine learning to business
  • 3+ years of relevant experience (part of which may entail research in Academia or the industry)
  • Excellent command of Python
  • Working knowledge of SQL
  • Working knowledge of big data frameworks Spark, Hadoop, Kafka, ... and NoSQL MongoDb databases
  • Working knowledge of versioning systems git
  • Excellent command of English
  • Interest in keeping up with state-of-the-art machine learning
  • Excellent team player
  • Cool, sharp professional with getting-the-job-done mentality

  • PhD in AI, Machine Learning, Applied Econometrics, Signal Processing or relevant discipline
  • Working knowledge of Java or Scala
  • Experience with recommender systems
  • Demonstrable leadership skills
  • Demonstrable organizational and time-management skills
  • Demonstrated experience in developing and deploying software to a production system for commercial use
  • Demonstrated experience in developing prediction models in industrial organization, digital marketing
  • Benefits

    At wappier we are growing our team with the vision of having top performers who contribute directly to the growth of the company.

    We offer :

  • Personal and dependent private health insurance plan
  • €500 annual training budget allocated to certifications and courses of your choice
  • Stock option incentive plan
  • Morning and afternoon bus transfers between Plakentias metro station and office
  • Wednesday lunches at the office ()
  • Work from home scheme
  • We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.

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