About the job
About Voodoo
Established in 2013, Voodoo is a pioneering tech company dedicated to developing engaging mobile games and applications that entertain millions globally. With a workforce of 800 talented individuals, we have achieved 7 billion downloads and boast over 200 million active users, making Voodoo the third-largest mobile publisher worldwide, trailing only Google and Meta. Our impressive portfolio features hit games such as Mob Control and Block Jam, along with popular applications like BeReal and Wizz.
Team
The Engineering & Data team is at the heart of crafting innovative technology products and platforms that fuel our incredible growth in gaming and consumer applications, ensuring Voodoo remains at the cutting edge of the mobile gaming landscape.
Joining the Data team, you'll become part of the BI/Prediction squad, an autonomous group of approximately 10 experts, including top-tier product managers, software and data engineers, data scientists, and analysts.
Role
Our mission is to supercharge the company's growth by providing on-demand predictive analytics for all Voodoo business units. This involves addressing vital needs such as forecasting campaign lifetime value (LTV) for user acquisition optimization, identifying the most effective monetization strategies for millions of players, and constructing confidence intervals for time series data predictions.
We are seeking a passionate Senior Data Scientist with extensive experience in similar environments who can elevate our predictive capabilities. This role presents a unique opportunity to make a strategic impact on Voodoo’s overall success.
This position is hybrid, requiring 3 days a week in our Paris office.
Take ownership of our product modeling pipelines.
Drive high modeling performance through innovative ideas and initiatives.
Rapidly build and deploy scalable machine learning systems.
Collaborate effectively across teams to harness new ideas and insights, demonstrating excellent communication with product managers, peers, and stakeholders.
Conduct in-depth data analysis to uncover meaningful insights.
Develop a comprehensive understanding of the mobile gaming sector, company strategy, and product alignment within daily operations.
Mentor and lead a team of data scientists, fostering a culture of technical excellence and autonomy.
Establish and uphold best practices in machine learning engineering, experimentation, and reproducibility across projects.
Champion the integration of advanced analytical techniques to drive business insights.
