About the Role
We are looking for a mid-level Data Scientist with a strong interest in data architecting and engineering. You will be concerned with the development and maintenance of the data pipeline, the implementation of end-to-end machine learning solutions and occasionally improving the Neurokeys app with data outcomes.
Requirements
3+ years of professional work experiencee
MSc in Behavioral Science, Statistics, Bioinformatics, Biostatistics, Mathematics, or any other relevant field
Strong background in statistics
Knowledge of classical machine learning techniques
Proficient in Python (intermediate++)
Proven knowledge of pandas, scipy, numpy, scikit-learn, jupyter-lab
Good coding practices (PEP8, code reviews, unit tests, mock, logging, debugging, git, )
Familiarity with SQL
Excellent verbal and written communication skills
Proficient with version control system (git)
Familiar with cloud technology
Living in Amsterdam or willing to relocate
Nice to have:
Understanding of neural networks
Knowledge of TensorFlow or PyTorch
About the Company
You like participating in all phases of the data product development: problem formulation, data analysis, modeling, model validation, testing, and presentation of the findings.
You are able to translate business problems and requirements into a clear scientific and technical steps.
You find the simplest solution to solve complex problems programmatically.
You keep in mind data structures, memory footprint and performance when coding.
You like working in a team, and quickly communicate when stuck or indecisive about your work.
You plan and think first, and only then code.
You can defend your choices and own your decisions.
You can communicate your work clearly to non-technical teams in the company.