Tactile Games

Senior Data Scientist, Game Teams

Job description

It’s an exciting time to join Tactile. We're one of the largest Danish gaming companies and we have been scaling fast in the last few years. Our dedication to creating top-quality games with global appeal has led to the development of a series of highly successful puzzle mobile games, such as Lily's Garden, Cookie Cats, Simon's Cat, and most recently, Penny&Flo: Finding Home
Currently we are looking for a Data Scientist to join our Games Team.

As a Senior Data Scientist at Tactile you will have the opportunity to explore data and take the initiative to acquire valuable insights that could help us improve our player’s experience. In your day to day, you’ll be partnering up with game designers and other data scientists to lead projects on machine learning, behavioural segmentation and monetization. Project after project you’ll be helping evolve the analytics methodologies and tools available company-wide.

We have a growing portfolio of successful games, so you’ll have the chance to assist game development through all of their different stages, from ideation, to soft-launch, to the long-term optimization of top ranking games.

What we’re looking for

    • High proficiency in presenting analyses and results to all audiences, from senior stakeholders to junior colleagues and non-technical teammates
    • Experience applying rigorous analytic techniques in order to understand the behavior of our players and the way they interact with the game features
    • Experience with data visualization tools (e.g., Looker, Periscope, Table)Understanding of statistical concepts such as sampling, distributions, hypothesis testing and confidence intervals
    • Prior experience working within mobile gaming, or at least B2C mobile businesses
    • Experience using SQL to extract and transform large data-sets
    • Proficiency in R or Python

It’s nice if you also have

    • Strong experience and deep understanding of A/B testing methodologies.
    • Familiarity with collaborative programming (e.g., git), and other tools like Airflow and Docker.

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