Data Scientist (ES Remote)

Novarama logo
Posted 23 November 2022
Salary Negotiable
Job type Permanent
Contact NameVicky Kilby

Job description

We are supporting Novarama as they look for a passionate Data Scientist to join their amazing team! The ideal candidate will be responsible for crunching data, building models, and extracting insights. The studio recently partnered up with Tencent and are now working on a new season-based high-end, hardcore PC multiplayer title.

So if you would like to work in a highly creative company with excellent work culture this is an opportunity for you!

Your responsibilities…
  • Owning the strategy, analytics, and data science at Novarama, focusing on using data for decision making to drive game balancing, future growth, and customer lifetime value.
  • Defining and building new data models and developing analytics related to game balance, player retention, DAU, engagement, and in-game revenue
  • Creating and automating reports and dashboards
  • Working hand in hand with development teams to generate traits and provide insights into game quality, balance, difficulty, and enjoyability
  • Laying the groundwork and best practices for the Data Analytics department while working closely with Game Designers and programmers 
The skills and experience you’ll bring to the role…
  • 5+ years of relevant hands-on analytical experience, with the ability to manage the analytical process
  • Master’s degree in a quantitative field such as Physics, Mathematics, Engineering, Computer Science, Data Science, or equivalent
  • Broad and up-to-date knowledge on data science and analytics tools to decide which tool fits best for each situation
  • Prior experience in game balancing and predictive analytics and segmentation r
  • Experience designing effective ways of communicating, visualizing and reporting results, and analysis 
  • Broad understanding of the video game industry and its core components, with a focus on monetization, product structure, user acquisition, user experience and user retention