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Senior Data Scientist

Senior Data Scientist

Amsterdam, Permanent

This company is one of Amsterdam’s leading scaleups, with the leading marketplace in Netherlands, France and Italy connecting service providers. With over 130 people and one of the city’s strongest work cultures, their core values have galvanised their growth in new markets and acquiring rival businesses. Driven by technology and data, they are now disrupting the market with new innovation features that make one of life’s difficult choices a lot easier.

Industry:

Marketplace
Tech

What to expect:

You will be joining a brand new team being set up around paid acquisition. This cross-functional team (developers, designers, and you) will focus on acquiring demand in their core countries and cover projects like campaign performance, keyword analytics (NLP), revenue prediction and more. You will be setting up experiments and models from scratch, work to better understand user stories, and work together with (data) engineers to ensure models get into production, as well as delivering insights to business stakeholders. This role will suit someone who is outgoing, autonomous and keen to make a difference.

Perks:

  • One of the best workplace cultures in Amsterdam, where every employee idea is respected and each person holds similar core values.
  • One of the nicest canal views in Amsterdam with a slick, modern office designed for collaboration.
  • Internal incentives for cross-collaboration between teams including mentoring programs, training/growth budget and social events.

Requirements:

  • Roughly four years experience, with at least two years spent within Marketing Data Science, Marketing Analytics, or a similar field.
  • Understanding of how to take Data Science projects from conception to production (you don't have to deploy them yourself necessarily).
  • Good experience with Python's science and ML libraries, as well as SQL. AWS is a plus.
  • Ability to connect stakeholders together with a product team and deliver business value from a data solution.

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Angus Mackintosh