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 38 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
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
Thorough understanding of the modelling process : exploratory data analysis, feature engineering, algorithm selection, multi-layer cross validation
Working knowledge of SQL and Python (or proficiency in R and willingness to learn Python)
Knowledge of big data systems and NoSQL databases
Very good command of the English language
Interest in keeping up with state-of-the-art machine learning
Excellent team player
Cool, sharp, funny professional with getting-the-job-done mentality
THE IDEAL CANDIDATE WILL ALSO HAVE
PhD in AI, Machine Learning, Applied Econometrics, Signal Processing or relevant discipline
Working knowledge of Java or Scala
Working knowledge of NoSQL databases MongoDb
Working knowledge of big data frameworks Spark, Hadoop, Kafka, ...
Working knowledge of versioning systems git
Experience with recommender systems
Demonstrated experience in developing and deploying software to a production system for commercial use
Experience in developing prediction models in industrial organization, digital marketing
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.