Stagiaire Data Scientist H/F

Contenu de l'offre Stagiaire Data Scientist H/F chez Castor

Who we are

At Castor we believe that data people spend too much time to find and understand data assets. Our product is plug-and-play, fun to use, and collaborative. It automates painful documentation tasks. By doing so, we enable every employee to find, understand, and consume data assets. Created in 2020, by four data lovers who all experienced firsthand the pain of exploring data, Castor is already running in leading companies such as BackMarket, Vestiaire Collective, PayFit, or eDreams.

We have a bold vision to improve our product. To support it, we raised a 2.5m€ Seed round from Frst and accomplished Business Angels (founders of Dataiku, Zenly, Vestiaire Collective, etc).

About the role

We are looking for a Data Science Intern to join our growing team (currently 10 people). We are looking for someone that excels in Python and has a deep sense of analytics, but also who has a deep understanding and empathy to understand the need of the customer.

You will take part in building the heart of our new data catalog platform :

Scouting new features: as part of our development, we will need to test and iterate fast on features. We will need to build proofs-of-concept fast. You'll be in charge to lead these first iterations of a "quick-and-dirty" solution. For example :Connect to API from various tools like Tableau, Looker, DBT, Metabase, etc to extract data and feed the app with contentScrape data from website (Salesforce, Segment, etc) to generate documentation automaticallyParse dbt json files to extract structured dataAnalytics: build and automates reports that bring value on customer's data model, documentation level, usage, etc.

Required: you're super comfortable in Python

As a Data Scientist, you will join a team of talented, and passionate engineers. We move fast, with a lot of ownership, and are proud to tackle exciting problems.

Durée du contrat : 6 mois

Type d'emploi : Temps plein, Stage

Salaire : 1 200,00€ par mois

Avantages :

Participation au Transport

Horaires :

Périodes de Travail de 8 HeuresRepos le Week-end