Stage - Data Scientist - Machine Learning - Blockchain

  • Paris
  • Internship
  • Start Date: 28 November 2018
  • Apply Now


Nyctale - Business Intelligence and AI SaaS platform to analyze, measure and control blockchain networks activity.
Nyctale is an innovative startup in the fields of Data Science and Blockchain technologies. We develop advanced analytics tools to analyze the usages, measure the value, and control the money flows on these new transactional networks. We valorize our expertise in Machine Learning and Deep Learning applied to graph data to deliver the needed interpretation tools to understand blockchain systems. Our SaaS platform targets application providers and financial institutions. Nyctale supports the development of decentralized applications by providing strategic insights to structuring actors of this emerging and promising industry.

Job Description

At Nyctale, Data scientists use their analytical, mathematical and coding skills to design meaningful insights on blockchains. They work in Big Data environments, using data mining and machine learning techniques to refine important amount of raw informations generated by blockchains. Our objectives are to improve our clients understanding of such systems and to boost their efficiency.

Once in our team, you:

  • Build and work with complex statistical models and cutting-edge machine learning algorithms under big data constraints.
  • Are responsible for data science projects end-to-end: we want you to be able to read and understand recent machine learning papers, implement them in a industrial way and present their result to our clients.
  • Produce test, results and visualize them in a presentable, professional and actionable manner.
  • Will learn the mechanisms creating the data you will be using. A good comprehension of blockchains is a necessity to analyse and explain behavioral pattern on these systems.
  • Enjoy a fast-paced work environment.

Preferred Experience

  • Master Degree or PhD in a relevant technical field (Mathematics, Applied Mathematics/Statistics, Machine Learning, Computer Science...) ;
  • expertise with python's data scientist toolbox: numpy, scipy, pandas, scikit-learn, etc.
  • Previous experiences with deep learning framework like (torch/tensorflow…) is a plus
  • Experience of relational databases and usage of SQL ;
  • Experience of Big data technologies (Hadoop, Spark etc.) and unstructured data ;
  • Demonstrated experience of developing and implementing statistical models (predictive & descriptive) ;
  • Experience with Linux and Git;
  • Capacity to write production quality code ;
  • Understanding of blockchain concepts is, obviously, a huge plus ;

Recruitment Process

An interview with each of the founders (one of which will be technical) and a meeting with the team around a beer (or a non alcoholic beverage of your choice) at La felicità, next to Station F.

Additional Information

  • Contract Type: Internship
  • Start Date: 28 November 2018
  • Location: Paris, France (75013)
  • Education Level: Master's Degree
  • Experience: < 6 months