Senior Data Scientist

Job description

We are looking for experienced data scientists, who have successfully completed challenging projects in advanced analytics and artificial intelligence. A successful candidate has the ambition to act as a trusted advisor for companies eager to use data & algorithms in assisting people when making business decisions and allowing systems to automate such decision-making.

As a Senior Data Scientist, you will take the lead on data-centric projects in various industries, such as retail, e-commerce, food & agribusiness.

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 projects

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

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 Dutch and English and are a good communicator