Data Scientist Senior App

Description de l'offre d'emploi

Luni, member of the top 10 global publishers, is specialized in mobile applications development and distribution.

Used by tens of millions of users worldwide, ours applications are dowloaded nearly 200 000 times a day only on iOS, featured by Apple and promoted « App of the Day ».


Specialists in well-being, sport, entertainment and productivity, our high-quality applications are backed by the most powerful internal tools on the market.

Join us in creating the best mobile experience for iOS users and making our brands the reference in wellness in the App Store !


We are looking for our new Data Scientist Senior App M/F passionate, creative, bold and eager to contribute to the evolution of our tools.



Your goals 🔥 :


  • Analyze complex data sets representing the behavior of millions of users to constantly improve both user experience and monetization
  • Transform raw datas into clear and exploitable informations
  • Create dashboards and reports to facilitate knowledge and understanding of the user's journey
  • Provide recommendations and conclusions to improve our applications, in collaboration with the product manager
  • Manage multiple projects at once in a constantly changing environment
  • Participate in the future success of the App Store



Why choose Luni ? ❤️


You will work on mobile applications used daily by millions of users all over the world

You will integrate a young team, passionate, innovative and independant where the hierarchy is close to zero


You will evolve in a relaxing and stimulating environment where team spirit and well being are key, with offices mixing sports, chill and play spaces


Competitive salary and benefit package


Your ambition is welcome, you will shape your profession.

Exigences de l'offre d'emploi

Skills 💪


  • Be curious, passionate and with a great team spirit
  • Python, Tensorflow, Databases
  • Analytic, Statistic, Transmission, Data exploitation, Algorithm
  • Proactivity


Experience : 5 years minimum in Data Science in mobile applications