Data scientist

Digital Power
Amsterdam, Netherlands
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Amsterdam, Netherlands

Tech stack

Artificial Intelligence
Data analysis
Computer Programming
Machine Learning
Data Management

Job description

As a Data Scientist (AI & Analytics) at Digital Power, you help us realise our ambition to become the number one Data & AI partner for our clients. You work at the intersection of data, AI and business, supporting organisations in using analytics and machine learning to achieve their goals in a meaningful and responsible way. In your role as a data scientist, you work in multidisciplinary teams together with colleagues from Digital Power and our clients. You develop quickly, while actively contributing to the growth of others, for example by coaching junior colleagues or giving training sessions. Alongside your client assignments, you are part of our internal community. As a data scientist at Digital Power, you learn from and with colleagues, support each other, and build expertise together. Collega's met elkaar in gesprek aan twee tafeltjes op kantoor Den BoschCollega's met elkaar in gesprek aan twee tafeltjes op kantoor Den BoschEen presentatie op kantoor Amsterdam bij de tribuneEen presentatie op kantoor Amsterdam bij de tribuneCollega's bij de bar in AmsterdamCollega's bij de bar in Amsterdam

Requirements

Good to know Currently, we are only hiring candidates who are authorized to work in The Netherlands at the time of their application. We are in the process of becoming a sponsor for non-EU citizens, however, we cannot make any promises at the moment.

  • Prepare and validate data for analytical and machine learning models - Strong technical skills in data analysis, statistics, machine learning and programming - Strong knowledge of the possibilities and limitations of different types of analysis and modelling - A consulting mindset: you enjoy listening, collaborating and turning needs into solutions - Experience with end-to-end modelling, including data preparation and validation - Knowledge of data management (engineering, data pipeli...

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