Principal Data Scientist w/ full professional English


Mauro Parteli
  • English
  • Spanish

Are you ready to join a fast-paced company building end-to-end AI products?

Our client is a start-up created in 2020 based in Munich, Madrid, Barcelona and Prague led by Data Scientists, Machine Learning Engineers and Developers. 

We are looking for a Principal Data Scientist to be key in the development of AI product functionalities.


  • Full professional or Native level of English
  • Spanish it's a plus

Main Responsibilities

  • Project lead of both product and laboratories features
  • Decide and data science modeling strategy and define coding approach
  • Direct contact with clients and understand their needs
  • Guide of multidisciplinary teams of data scientists and developers
  • Decide team priorities
  • Guide daily stand-up meetings of your team and sprint planning sessions and manage capacities
  • Define responsible and QA of features and deliverables
  • Manage conflicts across the functions of the team (DevOps/AI/DB/FE/BE…)

Core Skills/experience

  • More than 7 years of experience as Data Scientist.
  • Background in data science consulting or in product development.
  • More than 5 years working with Python, R, SQL.
  • More than 3 years working with supervised-unsupervised-deep learning (ML methodologies)
  • Experience with leading projects and multiple teams
  • It's a plus: APIs, AWS Lambda, Step functions.
  • It's a plus: Master's in Data Science or Machine Learning.
  • It's a plus: experience in AWS environment

What’s on offer

  • Great salary package (fixed + bonus)
  • Health insurance
  • Flexible working hours with free time management within the projects
  • Beautiful office in Madrid available to you
  • Hybrid work mode
  • Fun and agile work environment
  • Internationally diverse team

Our recruitment process

  • Step 1: Interview with our Tech recruiter to get to know you better
  • Step 2: 25 min test (math, logic and data scientists related questions)
  • Step 3: Get-to-know with a Data Scientist from the company
  • Step 4: Tech Interview
  • Step 5: Conversation with the CEO