Data scientist at ING Analytics in Amsterdam

Candidate Profile

Qualification/Education

Essential:             MSc

Desirable:             PhD  

Experience/Knowledge

Essential:             2 years

Desirable:             >2 years

Personal Competencies

Essential:            

•             Knowledgeable in statistics, calculus and applied math.

•             Knowledgeable about machine learning techniques and willingness to keep the knowledge up-to-date. You have an in-depth understanding of algorithms like Random Forests, Neural Networks, and MCMC.

•             Strong programming skills in Python, Experience in delivering (near) production grade code.

•             You have excellent oral and written communication skills at technical and business level.

•             You have a learning attitude. Not only to master new algorithms and technologies, but also on the interpersonal level. You realize that the value of your work is quality x acceptance and want to become better at both. You are proven to be able to give, ask and incorporate feedback.

•             You have experience in building data products. From inception to production. With your full-stack capabilities, you can build a prototype, but also improve an issue within the existing models in production. You love coding.

•             You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.

•             You have exceptional problem-solving capabilities. You understand that understanding the problem is at least 90% of the solution. You have displayed creativity and tenacity in cracking the problem and finding a solution to it.

Desirable:            

• Experience with tools like Spark and Hadoop, though extensive experience with this is not necessary at the start.
• Experience in working in an agile/scrum way
• Active (or impressive) Github and/or Kaggle profile.

ING has a policy of promoting diversity.