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Data Scientist - Casual Games

Voodoo is a tech company that creates mobile games and apps. With 6 billion downloads and over 300 million monthly active users, Voodoo is the #2 mobile publisher worldwide in terms of downloads after Google.

The company is one of the most impressive examples of hypergrowth in the ecosystem, having raised over $1B and backed by Goldman Sachs, Tencent, and GBL. Deciding to expand its portfolio of products further, Voodoo has more recently announced that it will invest $200M in blockchain gaming studios, to lead the transformation of mobile gaming.

Voodoo is now a team of over 600 employees worldwide, we’re looking for talented individuals from across the globe to come and entertain the world with us.

The Casual Data Team is a centralized structure made up of industry veterans whose mission is to set up an efficient and rigorous analytical framework to support multiple studios and ambitious projects to drive the growth of Casual Games at Voodoo.

The data team plays a critical role in shaping the success of our games by identifying successful and underperforming patterns and communicating both results and recommendations to our stakeholders. We always seek to improve every piece of our complex analytical stack, from data collection to analytical methods and business impact.

We give all team members ownership of their projects while ensuring they have the right tools and support to grow both personally and professionally.

This role can be handled by candidates based in Barcelona, Paris, Berlin, and London.

You will be joining the new and growing Casual Games Business Unit at Voodoo. You will play a key role in the growth of this unit and in setting standard methodologies to support a growing number of studios and partners. You will work in an ambitious and fast-paced environment with stakeholders from multiple horizons: management, game design, marketing, and tech.

• Be the link between our data organization and multiple teams working on games in development or live
• Assist them through the different stages of the game development cycle: implementation of events tracking, analyses of the performance of early prototypes, performance assessment of games to launch, optimization of live games, and content
• Adapt to a fast-moving environment and be pragmatic when it comes to defining priorities and choosing the most efficient solutions

We expect you to match the high standards of rigor needed to carefully assess the potential of a game and identify areas of improvement to clearly communicate your results with the game teams. You will become an undisputed expert in in-game analytics, earning the trust of your collaborators through rigorous and efficient work.

Profile

• At least 2 years of analytical work experience in the gaming, tech, or data-driven industry.
• Proficient with SQL and either R or Python, with proven experience working with large and complex data sets.
• Good knowledge of statistical analysis and concepts used for industry-standard methods like AB testing or forecasting
• An autonomous person with a strong analytical mind, problem-solving skills, and strong attention to detail
• Ability to understand a business problem, turn it into an analytics/statistics problem, and solve it using adequate methods
• The highly pragmatic mindset with the ability to quickly identify what needs to be focused on and what can be considered of lower priority
• Proven track record working in close connection with product teams and clearly communicating with technical and non-technical stakeholders