Senior Data Scientist (BE)

Job description

Eager to take the lead on data-centric projects and steer a team in the right direction? Do you love to help a client discover the value hidden in data and steer the creation of business value in the right direction?


At Crunch Analytics, we help innovative fashion brands & retail organizations be fabulous! By introducing our AI-driven fashion retail platform, we assist teams in making improved pricing & inventory decisions that lead to world-class profitability, efficiency & a reduced ecological footprint.


Our platform has proven its value, assisting teams at international enterprise organizations such as G-star, Scotch & Soda & Vandevelde, or national heroes such as Torfs, OnlyforMen, Bristol, ZEB, Schuurman Schoenen and E5.


We are looking for experienced data scientists, who have successfully completed advanced analytics and artificial intelligence projects. A successful candidate has the ambition to become an expert in one or more data science topics, enabling him/her to act as the go-to authority within the team as well as a trusted advisor for external clients.


So, in your role, you will be able to showcase your current skillset, expand it even further and play a crucial role within the organization.

Job requirements

Essential requirements

  • A track record of multiple advanced analytics and AI projects in various industries within a business context
  • Excellent Software Engineering skills:
  • Advanced programming in Python (Pandas, Numpy, Scikit-learn, Keras, Seaborn, Spacy,... )
  • Building complex data pipelines and using distributed computing
  • Deploying machine learning solutions on the cloud
  • Working in a Unix environment
  • Using other tools and frameworks such as GIT, Airflow, Docker, Kubernetes, Jenkins, ...
  • Expert in every aspect of Data Science:
  • Understanding and using supervised and unsupervised machine learning techniques
  • Wrangling all types of data sources in any shape or form
  • Finding meaningful and actionable business insights with exploratory data analysis and using statistical methods
  • Understanding and being able to translate business problems into data science problems and vice versa
  • Translating your expertise and findings to a variety of different business stakeholders
  • Knowing when not to use “traditional” data science, but revert to other techniques.
  • Excellent communication skills. This includes written, oral and non-verbal communication.
  • A team player and mentor for more junior team members.
  • Willingness to tutor others about Data Science and your area of expertise
  • Able to collaborate with and mentor Junior Data Scientists, and give (non-)technical advice and direction.
  • Experience in project and account management
  • Capable of defining the scope and execution strategy for new

Nice to haves

  • Knowledge of other languages (speaking or programming)
  • Experience working with a variety of databases and architectures
  • Experience with lean/agile software development
  • Experience with the Google Cloud platform is a definitive plus


Your profile

  • You have 3+ years of experience working as a Data Scientist;
  • You have a BS or MS in Computer Science, Business or Civil Engineering, Business Administration, Economics, AI, Data or Marketing Analysis, Maths, or Statistics;
  • You are eager to learn new things and thrive in a fast-growth environment;
  • You are fluent in English and are a good communicator, knowledge of Dutch is a plus