BlueBoard

BlueBoard

Data Scientist | ML Scientist Post-Doc (PhD)

  • Permanent contract 
  • Starting date:  October 1, 2019
  • Paris
  • PhD
  • < 6 months

The company

BlueBoard

BlueBoard

  • SaaS / Cloud Services
  • From 15 to 50 employees

The job

Data Scientist | ML Scientist Post-Doc (PhD)

  • Permanent contract 
  • Paris

About

Since 2015, BlueBoard has been building a SaaS solution in E-Commerce Intelligence for consumer goods brands. This solution allows them to understand where and how their products are distributed online.

Concretely, brands often have too little visibility on what e-commerce sites do with their products. BlueBoard allows them to quickly solve their distribution issues (out-of-stocks, price issues), to increase their sales (share of the digital shelf, quality of the product pages) and to protect their image on a global scale (grey market, customer reviews).

To provide all this information, BlueBoard acquires millions of data points every day from thousands of websites. BlueBoard already serves major international accounts like JBL, BenQ, L’Oreal, Bang & Olufsen, Babymoov, Logitech, Legrand…

BlueBoard
BlueBoard
BlueBoard
BlueBoard
BlueBoard

Job description

The applicant should have a PhD in computer science or applied mathematics with knowledge on statistics, machine learning, cognitive science or other areas relevant to the themes.

The applicant should also have publication records in top conferences or journals in machine learning, AI or NLP.
High level of English is a necessary prerequisite. Knowledge of French would be a plus.

The applicants must be autonomous and proactive in an agile environment and be able to work in a multi-disciplinary environment, including interaction with “soft” scientists, and should have excellent skills in drafting and in scientific/Tech communication.

Main missions

  • Apply advanced statistical predictive models and leading machine learning algorithms to generate automatically proposition of analysis according to the BlueBoard’s methodology and data sets;
  • Propose new models based on machine learning and information retrieval to support BlueBoard human expertise and methodology;
  • Propose new data representations for different types of data.

Our proposition

  • CDI in Paris, 10th district (in a beautiful Haussmannian building)
  • 2.5k€ to setup your own work environnement
  • Remote work is possible up to 2 days a week
  • A dynamic startup envrionnement and a great team (you’ll laugh, hopefully)

Preferred experience

Professional expertise

  • Ability to work with and deploy data through APIs;
  • Experience to apply supervised, unsupervised and semi-supervised learning techniques;
  • Experience with Machine Learning pipelines: data ingestion, feature engineering, modelling including ensemble methods, predicting, explaining, deploying and diagnosing overfitting;
  • Experience in model selection and sampling.

Scientific and Tech (development) requirements

  • Significant experience in natural language generation (NLG), natural language processing or machine learning (in particular neural networks);
  • Advanced skills in Probabilities and Statistics;
  • Mastering Python is mandatory.

Recruitment process

  1. Phone call
  2. Technical test
  3. Meeting IRL
  4. Introduction to the (great) BlueBoard team

Meet the BlueBoard team

BlueBoard

BlueBoard

Data Scientist | ML Scientist Post-Doc (PhD)

  • Permanent contract 
  • Starting date:  October 1, 2019
  • Paris
  • PhD
  • < 6 months
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