As a data scientist you are capable of rapidly learning about the domain of our customers, while taking up the challenge of making sense of their operational and otherwise collected data.
We are looking for data scientists that feel at home at the intersection between science, mathematics, machine learning, business and computer science. You may come from a science background or have experience in a environment driven by scientific methodology. You also know their math and statistics and know how to apply this to actual problems.
What You’ll Be Doing
You have dabbled with machine learning, NLP, or optimization modeling. You know how to create visualisations in order to tell a story (and why you should avoid pie charts!). And very importantly, since we believe in developing actual products for our customers instead of just providing them with algorithms or models, our data scientists also enjoy writing programs that run on servers and talk to databases.
As a data scientist you are capable of rapidly learning about the domain of our customers, while taking up the challenge of making sense of their operational and otherwise collected data. You communicate well and are capable of explaining what you do to customers in understandable terms. You are the kind of person that can explain in layman terms why we call a naïve Bayes classifier naïve.
When it comes to data analysis you do not expect data to be clean, concise, well organized, well documented, consistent or complete. You make do with what you get and don't make assumptions. You understand the strengths and weaknesses of different models and can effectively reason about when to apply various combinations. You're not a one trick pony.
Who Are We Looking For?
The Data Scientist role is a senior postion with a pivot role in our clients teams, therefore at least 2 years of relevant professional experience is required. We like to be amazed, though, so if you have done something outstanding during your studies, like contributing to open source projects or starting your own company, we encourage you to apply.
Also, since most of our customers operate in the Netherlands, a working knowledge of Dutch is a requirement.
Prefered general knowledge includes:
- machine learning;
- optimization modelling;
- data visualisation;
- and data structures.
Preferred skills / tool experience includes:
- analysis tools like Python / Pandas / R / Julia / Matlab;
- using relational databases;
- working with Linux, including writing Bash scripts;
- bonus: Software engineering practices;
- bonus: Hadoop / Hive / Spark / MapReduce;
- bonus: NoSQL databases.
If that sounds like you, let's talk.
The GoDataDriven Way
At GoDataDriven, we treat each other with respect, cooperation, and a view towards creating an enthusiastic, self-empowered, dynamic working community. Our culture exudes creativity and ambition, and our colleagues share an insatiable thirst for knowledge. We’re especially proud of our generous training budget and our “Hack-What-You-Want” Fridays.
In addition to a great culture, we provide competitive primary benefits:
- competitive salary;
- pension plan;
- a real training budget, without a fight. In fact, it’s your obligation to spend it every year;
- extended insurance;
- choose your laptop;
- choose your phone;
- and, of course, your own pair of custom GoDataDriven blue Nikes when you join!
Our core values are: people first, quality without compromise, sharing knowledge, and customer intimacy. At GoDataDriven, you’ll find like-minded colleagues at the forefront of their fields with the courage to veer from the beaten path; they are the people who put organizations into motion.
Meet Your New Colleagues
We sat down with a few of our data scientists to talk about their work. Topics discussed are for example work-life balance, writing intellectually challenging code, and giving back to the community.Apply
As a Data Scientist, you understand the strengths and weaknesses of different models and can effectively reason about when to apply various combinations. You're not a one trick pony.