Job Summary

The Role

• As a Data Scientist, you will be responsible for product development using data science, all in a strong spirit of collaboration.
• You will also participate in a guild made up of thirty data scientists to date to share knowledge.
• You will also have the opportunity to be a mentor for more junior profiles at the algorithmic level and work on our current Data Science projects– we already have over 40 algorithms in production.

The Responsibilities

• Understanding the financial business challenges and converting them into a Data Science problem.
• Setting up Time Series POCs and measuring the business impact.
• Working on Pricing and Budget allocation models.
• Industrializing and deploying MVPs in production while ensuring quality throughout the process.
• Supporting junior profiles, be able to popularize complex algorithms and take on a mentoring role on the Data team.
• Jellysmack’s technical Stack:
  • Language : Python, C++, Julia (to be “re”-tested)
  • Databases : Aurora, Redshift, ElasticSearch on AWS
  • Librairies : Pandas, PyTorch, Tensorflow, Scikit-learn, SQLAlchemy,…
  • Visualisation : PowerBI, Plotly, Seaborn, bokeh
  • DevOps: Gitlab, Airflow, MLFlow, Docker
  • Environment : We use Pycharm, VSCode, VIM and Jupyter but we’re open to anything on any OS!

The Qualifications

• You have a PhD in Computer Science or a master’s degree in data science or related fields, you have at least 2 years of experience with Time Series.
• You find Industrialization is important to you and you know how to push algorithms in production independently.
• You like to share your knowledge and you act as a mentor for the other members of the team.
• You have a very good level of SQL (MySQL and PostgreSQL) and Python.