Data Scientist
For our Data & AI team, we are looking for a Data Scientist.
As a data scientist, you can apply your knowledge to different organizations.
Organizations that all want something, namely to move forward!
- Amsterdam, NL
- Full-time
Your responsibilities include accessing, structuring and analyzing (un)structured data.
You will create models, using algorithms and various software.
We find it important that you develop yourself.
Together with your manager you look at your own development path.
There are plenty of opportunities to grow within DSL.
Your curiosity and entrepreneurship will contribute to these opportunities.
You will work in an environment where you can realize your own ideas or contribute to innovative internal projects.
What do we expect from you?
Of course, you have a passion for data!
You are someone who is entrepreneurial and eager to take on projects.
Furthermore, we find it important that you:
- completed a WO degree in Computer Science, Business Analytics, Data Science, Information Science, Artificial Intelligence and at least 2 years of work experience as a data scientist (if you have less experience but can argue why you are the ideal new colleague, feel free to contact us);
- Have gained experience with the programming languages R or Python;
- Machine learning knowledge;
- Have perseverance and be creative;
- enjoys consulting and enjoys sitting around the table to help different clients move forward;
- Have good communication skills in Dutch;
- Are willing to travel throughout the Netherlands.
We offer
- A dynamic, entrepreneurial work environment where you have a lot of autonomy and the opportunity to further shape your role.
- The opportunity to contribute to data projects for charities.
- Sports and party committee
- A competitive salary package, including travel reimbursement and a laptop of your choice.
- A flexible retirement plan and the freedom to schedule your own work hours and places.
Development
We like to work with professionals who really want to be involved.
If you want, you not only work on projects at our clients, but we also give you the chance to contribute to the organization of Data Science Lab.
This way you have a direct impact on the company you work for.
In addition, every Friday you will work on your own development at our office in Amsterdam.
Nice assignments
Through Data Science Lab, you’ll slide in with a variety of clients.
This way you get a look into different kitchens and experience the data business inside out.
Daarnaast maak je uiteenlopende bedrijfsculturen mee.
Als data scientist ben je een belangrijke schakel in het project en word je echt gezien als onderdeel van het team.
Aan het einde van het project vinden ze het vaak jammer dat je vertrekt.
Employment
You will have the freedom to fulfill the role as it suits you best.
In this, we expect a lot of responsibility and entrepreneurship.
In addition, we also offer:
- A great challenge within a young organization with a good salary;
- full travel reimbursement;
- laptop of your choice;
- a flexible retirement plan;
- Lots of responsibility and flexible working hours/workplaces;
- Fun and motivated colleagues and a nice workplace in Amsterdam.
Culture
We believe in a data-driven future. With our team, we help organizations turn their data into valuable knowledge; ensuring that our clients are ready for the data-driven future. Enthusiasm is our driving force. We want to show with concrete results that the possibilities with data are endless.
Are you coming to work with us?
Have you become enthusiastic about us and the position? Then we would like to tell you more about this role during an introduction. For more information please contact Suzanne Alberts-Nieuwenhuis, call 020-3031414 or send an email solliciteren@datasciencelab.nl.
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Are you coming to work with us?
Have you become enthusiastic about us and the position?
Then we would like to tell you more about this role during an introduction.
For more information please contact Katelyn Groen, call 020-3031414 or send an email solliciteren@datasciencelab.nl.
"*" indicates required fields