We are looking for a Machine Learning Engineer with a strong background in computer science, coding and machine learning. Our ideal ML Engineer understands the value of data, and is eager to apply knowledge of data science to its full potential in the interest of our clients. If you combine data science with strong business understanding and communication skills, we look forward to your application.
You are an inquisitive data scientist who combines excellent knowledge of computer science with business acumen and communication skills
You feel confident about software development and coding, have strong knowledge of the latest tools and techniques and are passionate about running high-performance systems and solving issues
You are able to identify opportunities and problems in areas of data processing, artificial intelligence, and machine learning and come with solutions
Thanks to your collaboration skills, you are a much-appreciated team member and can explain your work to both technical and non-technical audiences
You work independently, take responsibility for your tasks, troubleshoot problem areas, and complete your work on schedule
You deliberately choose a young, consulting firm in data science and a fast-paced team above larger, established corporate firms
Data analysis and processing
Model development and implementation
Algorithm optimization and performance monitoring
Collaboration and communication
Client engagement
Problem solving and consultation
As part of our team we expect you to bring the following:
Proven experience as a data scientist, with 3 to 5 years of working experience
Strong coding skills with computer science or machine learning background
Preferably, 3-5 years experience in a project-oriented B2B consulting organization
Able to productionize data models
On-going tracking and monitoring of performance of algorithms
Writing and working with API’s or user interfaces
Strong communication skills
Curiosity and excitement about new semi-undefined challenges
An entrepreneurial spirit thinking along how to make acmetric 1% better tomorrow
The ability to work and communicate fluently in English
The will to work full time (40 hrs/week), including 1-2 days/week in Amsterdam
We work at the forefront of cutting-edge data science and business environments;
You will be part of an ambitious start-up with a passion for data and academic research;
You will be given opportunities to further develop your professional and personal capacities;
Salary depending on qualifications and expertise;
A bonus structure rewarding personal performance;
Secondary benefits: the possibility to work from home, an allowance for travel, and 25 holidays, based on full-time employment;
An informal and creative working environment, with room for initiative and ideas.
For questions about the position, you can contact Marc Nientker (partner): [email protected]
Acquisition based on vacancies will not be taken into consideration.
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