Data Scientist


The candidate will be part of our cross-talent team, working closely with computer scientists, devops, front-end developers, and UX experts.

Opportunity details

  • Full time
  • Starting now
  • Place: Paris

Your daily tasks

  • Exchange with client to understand his business objectives and specify a mathematical formulation of real world problems
  • Develop mathematical formulations of real world problems
  • Apply sound statistical and machine learning techniques to help inference and decision making
  • Identify patterns and insights in datasets by exploratory analysis and unsupervised learning
  • Analyze and communicate model results for a technical or non-technical audience, notably with the help of great visualizations
  • Prototype algorithms and help software engineers deploy them to our production systems
  • Read academic papers or blog posts in order to master the state of the art in our domains of interest, and share the insights with your colleagues

Skill set

  • Must have at least 2 years of experience
  • Curious, passionate, avid to learn
  • Strong analytical skills (statistics + machine learning + programming)
  • Strong communication skills (problem specification, presentation & data visualization)
  • Robust & systematic approach to problem solving
  • Eager to apply those skills in a business context

Minimum qualifications

  • Background in econometrics, mathematics or engineering in general
  • Strong understanding of high-level machine learning concepts, and intimate knowledge of specific algorithms
  • Strong mathematical skills, in particular Statistics (descriptive and inferential)
  • Basic knowledge of computer science algorithms and data structures
  • Experience with tools adapted to data science (python or R) and of related packages (pandas, scikit-learn, ggplot2, dplyr‚Ķ)
  • Fluent in French and proficient in English

Preferred qualifications

  • Experience in any of the following fields: social network analysis, natural language processing, information retrieval, semantic web
  • Fluent in SQL (preferably PostgreSQL) and server-side programming (bash)
  • Experience with Spark and the Hadoop ecosystem
  • Real-world experience of massive datasets analysis
  • Strong computer science skills and ability to help developers deploy software in production
  • Experience with visualization tools like Tableau Software
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