Principal Data Scientist W/ Full Professional - Madrid, España - Babel Profiles
Descripción
Are you ready to join a fast-paced company that builds Artificial Intelligence end-to-end products?
Our client it's a start-up created in 2020 based in Munich, Madrid, Barcelona and Prague headed by Data scientists, Machine Learning Engineers and Developers.
We are looking for a Principal Data Scientist to be a key in the development of features of AI products.
Languages:
- Full professional or Native level of English
- Spanish it's a plus
- Competitive salary
- SaaS
- Permanent
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 standup 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 supervisedunsuperviseddeep 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: Gettoknow with a Data Scientist from the company
- Step 4: Tech Interview
- Step 5: Conversation with the CEO
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