Jellysmack is the global creator company that detects and develops the world's most talented video creators on social media. We're an optimistic crew who naturally goes the extra mile, has a glass-half-full mindset, and sees challenges as opportunities. We look for positive people who think outside the box, are inventive, bold, lead change, and believe that teamwork matters.

The Team Culture

Our job is to take numbers and turn them into reasons to celebrate! Data drives everything we do at Jellysmack and is thus essential to the company. Data is at the heart of our success, and it drives the content we create and how we edit videos so we can optimize everything we publish. Everyone on our team is capable of going above and beyond the call of duty. Our goal is to gather and analyze data to help the company grow. Do you have what it takes to be part of our team?

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!