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Data Scientist and Analytics


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Data Scientist and Analytics

Our client hosts 3 brands on a multi-tenant platform, operated from their Amsterdam location. They are the top players in the classifieds space throughout the Benelux region - with over 11 million monthly unique users. They run on both Android, iOS apps, and on the web. For consumers, they contribute to a greener, circular economy. For businesses they offer a platform to showcase their goods and services online to a large audience - a hugely important factor which has helped contribute towards the survival of many businesses as they adapt to new online strategies.

What will you do?

You will drive better user experience by formulating the right questions and figuring out how to answer them using data analysis, machine learning, modelling and continuous expirementation.

The company is organized around multi-functional product teams which consist of product managers, business owners, UX designers, developers and marketers. The Product Analytics team supports the product teams, leading data-driven mentality and helping to build and evaluate new products.

Your reponsibilities:

  • Find opportunities to improve the product by analyzing user behavior;
  • Design and set up experiments, recommend solutions and alternative solutions that enable the organization to understand where to focus our efforts;
  • Validate the impact they make with new initiatives;
  • Visualize and communicate your findings to product teams and other partners;
  • Work with product teams to define key experiment metrics and KPIs.

What will you get?

The company offers a variety of comprehensive and competitive benefit programs to meet your needs, depending on your personal situation.

They offer:

  • An attractive monthly base salary;
  • A yearly cash bonus sheme;
  • Company shares;
  • A monthly coverage in medical contribution;
  • A health company courtesy;
  • Parenting support;
  • Life and disability insurance;
  • Interesting retirement scheme;
  • A lot of possibilities to grow and develop yourself.

Who are you?

You have:

  • Experience in an analytics or a data science environment;
  • Strong background in statistics, computer science, econometrics, economics, or other quantitative field;
  • Knowledge of Python and/or R;
  • Proficiency working with large data sets;
  • Good knowledge of SQL;
  • Familiarity with Hadoop and/or Spark is a plus;
  • Familiarity with experimentation (A/B testing);
  • Capable of translating analysis results into business recommendations;
  • Real hunger & curiosity for understanding user behavior;
  • Superb communication (written/verbal) and presentation abilities in English.