Data Scientist



Talent at GameHouse Job

What you'll be up to

  • Researching, developing and evaluating new data products and predictive models (Customer segmentation and targeting, churn, LTV estimation, forecasting and so on).
  • Creating new data products by developing algorithms and extracting essential insights from our current games’ big data storage.
  • Utilizing the data modelling platforms and solutions (infrastructure, networking, big data processing, machine learning and cost).
  • Working closely with stakeholders to translate requirements into solid data products that gives insights and growth.
  • Working on in-depth analysis and hypotheses testing that deal with immediate needs and long term strategic projects that drive major change for the games.
  • Creating data visualizations and analysis pipelines that demonstrate the key points to the business users.
  • research new technologies, tools, and use the latest techniques and tools to enhance our data capabilities.

When are you doing a good job?

  • You are enjoying your work and can see the significant impact you have
  • You successfully created and deployed several dozens of models in production
  • You effectively solved relevant business tasks for the current live games
  • You provided a clear value for the company in terms of delivering new data products, valued by the team.
  • You fostered and uplifted a data driven culture in the company.
  • You became a good and valuable part of the team, sharing your experience and knowledge with other team members.
  • You have shown an understanding of the company’s mission and strategy and supported these with data products.

We offer you

  • Freedom to build out the platform and suggest improvements in a proper big data environment (70 million events are received in our data stream daily)
  • The opportunity to move the needle and have an impact on the future growth of the organization.
  • To play a central role in the Data team
  • Lots of opportunity to learn
  • To take autonomous decisions without a lot of red tape processes
  • to work in a family friendly and social atmosphere
  • a competitive salary in a high quality of life environment
  • a pension plan
  • an Employee Book Buying Program
  • Sports program (½ off)
  • even more perks

What's expected

  • Bachelors in Math, Statistics, Comp Science, Engineering, or other quantitative field required; Masters or PhD preferred.
  • Overall 5+ years of data scientist/AI research experience
  • Hands on experience with Big Data storage/tech stack like Hadoop, Spark, Hive, Cloudera, Impala or Kafka.
  • Familiar with Data Science programming languages, libraries and frameworks (Python/R, Pandas, NumPy, SciPy, Scikit learn, PyTorch, Keras, Tensorflow etc)
  • Understanding of discrete optimization approaches and algorithmic knowledge of modern DS/DM modelling methods (Bayesian classifiers, Logit regression, Decision trees, Random forest, XGboost/LightGBM, RNN, LSTM etc).
  • Experience with automating full Machine Learning models management pipeline (H2O, Databricks, DataRobot, MLOps, etc).
  • Experience with multivariate A/B testing and statistical significance measuring

Nice to haves

  • Fluent in SQL and MPP databases (Azure, AWS is a preference)
  • Experience in a cloud environment, preferably AWS or Azure.
  • Experience with BI platforms like Tableau / Periscope / Qlikview / PowerBI

Will this agenda make you happy?






Daily stand-up with the team

Discussion about user Level LTV curve

Daily stand-up with the team

Monthly GameHouse Data meeting

Daily stand-up with the team

1on1 with your lead Max

Daily stand-up with the team

Data meeting with the Studio

Daily stand-up with the team

TGIF - company town hall meeting

(Virtual) drinks & fun with the team

36 bi-weekly all-hands meetings and counting….

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Life at GameHouse

We aim to create heartfelt experiences through our games. This means we embrace different stories, encourage curiosity and open-mindedness. Working at GameHouse means inspiring colleagues in an environment that is not only fun, but also determined to create the best story-driven games there are.

Your Application Process

Found a job you’re excited about? Apply! Send us your resume with all the relevant experience and let us know what makes you thrilled about the job.

First and foremost: we’ll always follow-up on your application, regardless of the next steps. If we think you could be a great fit, we will invite you for a chat (approx. 30 minutes) to go over your background, why you decided to apply, GameHouse in general, and to answer all the questions you would have for us.

Is it a match? Both on a cultural level as well as on craft and experience? Can we help you grow as well? That’s what we’ll try to find out! In this stage you will speak with your potential future manager and team mates. 

  • Step 1: An online assessment 😱?! We believe in our people and want to fully understand what drives you, where your strengths lie and how we can support you to grow. A job should be fun, engaging, and bring energy. That’s why we use an online personality and cognitive test. You will (obviously) receive all results. 
  • Step 2: Max. 3 interviews You will meet Auke & Iris (our cultural conscience). potential team members or stakeholders and you will meet Erik, our CEO.

If we both feel like we connect on the right levels, we make you an offer you can’t refuse. We discuss what you want to learn, and figure out how we can help you grow towards your goals. This way, we make sure you can be at your most awesome, and help us become better! 



Thomas | Talent Acquisition Manager

1. Your name

2. The socials

3. The resumé

4. Craftsmanship

5. Submit your story

The story of your application

Step 1 of 5

  • Level 1

    The name of your character