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Mention // real-time updates of mentions on web & social networks
Engineering, Full Time    Paris, le-de-France, France    Posted: Monday, July 15, 2019
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Mention changes the way companies monitor their online presence. Track your company name, brand, competitors, or industry trends for real-time updates on any mentions online & on social networks. Take action to react, collaborate, & analyze your online presence. Mention is focused on helping companies of any size to know whats being said about their brand, competitors & industry.

Our key numbers :

  • Over 750,000 professionals using the app in 125+ countries from companies such as Spotify, Airbnb, MIT, Microsoft, Lamborghini, Pinterest & Etsy..
  • Thousands of registrants every month
  • Three offices: Paris, London & NYC
  • A team of 60 passionates!

We are now ramping up our Data & Analytics team with the mission to bring the power of advanced analytics & Natural Language Processing to PR & Marketing professionals. As a Senior Data Scientist you will have a leading role in applying state-of-the-art AI to develop user-facing features in our SaaS tool & you will report to our Head of Data Analysis based in Sweden & work in collaboration with our Junior Data Scientist based in the Paris Office.


  • Work with research & development focusing on NLP & other fields within AI
  • Contribute to building user-facing products that help drawing insights from large volumes of textual data
  • Focus on problems such as sentiment analysis, named entity recognition & linking & document clustering
  • Design & deploy (with help from Dev Ops) production-ready data science services
  • Acquire a deep understanding of the business & product problems in order to apply the best suited data science solutions
  • Work with the product team to make our data more understandable & accessible for our users
  • Manage the data flow by accelerating & strengthening it
  • Draw conclusions from your analyses & present the findings to stakeholder within the organisation
  • Maintain & improve 10+ Data Science microservices in Python
  • Collaborate closely with the Head of Data Analysis to understand & design solutions with the greatest possible impact for our users


  • You have proficiency in Python programming for data science & have a first experience using NLP libraries
  • You are keeping up with the latest developments in the NLP space & are always looking into new technologies & learn beyond your current set of expertise
  • You have some data engineering knowledge & have deployed data science services to production
  • You are familiar with cloud platforms (AWS, Microsoft Azure or Google Cloud)
  • You may have a background in statistics or applied mathematics
  • You are used to work with the following tools/methods: Docker, Git, Github, Jira

Data Science Stack: Python3, SpaCy, Scikit-Learn, gRPC, Flask, Pytorch, Docker, Git

Backend Stack : PHP7, Go, React, Mysql, ElasticSearch, Kafka, REST & GraphQL APIs, Git, Vagrant, Jenkins.

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