Principal data scientist

Oferta de empleo de Data Scientist en Barcelona

Michael Page
Requisitos
Habilidades mínimas:
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Condiciones
60.000 → 80.000
Descripción de la oferta

Perfil buscado (Hombre/Mujer)


• Project lead of multiple initiatives (laboratories and product features)

• Define data science modeling strategy and advise/revise coding approach

• Lead of multidisciplinary teams of data scientists and developers

• Define team priorities

• Lead daily stand-up meetings of your team and sprint planning sessions

• Manage team capacity and agree project scopes

• Ultimate responsible and QA of features and deliverables

• Resolve conflicts across the functions of the team (DevOps/AI/DB/FE/BE...)

• Interact with our clients and understand their challenges, their data, and their needs
• Join a +100 super motivated ML Engineers, data scientists and developers.|AI products, AI Laboratory, work flexibility and fun and agile environment.

• >6 years of experience in data science

• >6 years experience with data programming/ scripting languages (Python, R, SQL). Including package building, object-oriented programming. Bonus: APIs, AWS Lambda, Step functions, ...

• >6 years experience in machine-learning methodologies (supervised /unsupervised, deep learning)

• Experience leading multiple projects and multiple teams

• Experience in project planning

• Experience in communicating technically, at a level appropriate for the audience

• Ability to work in a fast pace and learn quickly

• Background in data science consulting or in product development

• (Bonus) Master in Data Science /Machine Learning

• (Bonus) AWS Cloud experience

• (Bonus) Database design/data lead


Develop digital AI products that are easy to integrate. Believe in challenging the status quo and empowering business with meaningful AI.


• Internationally diverse team.

• We develop high-quality software and thus create sustainable added value for our customers

• We live a feedback culture so that we can constantly reflect and improve

• Flexible remote work.

• We enjoy new technologies and love to learn new things and grow with them

• We give freedom for further training because lifelong learning is important to us

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