Job Description
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
Team
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters).
The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic project with significant impact on the business on direct margin, advertisement content selection, game prototype testing and audience survey. Our product is already showing promising signs of success and is now entering a fast-paced scaling phase.
We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.
This position is hybrid and requires 2/3 days per week in the office based in Paris.
RoleImprove existing models or propose new approaches to our current install rate and LTV estimation modelsBuild and deploy quickly scalable ML systems Work closely with product managers and other engineers to ensure that incremental ML performance translates into significant business impactDiscuss state of the art ML topics with other data scientists, share ideas and challenge existing systemsGain understanding of and engage in developing a variety of essential components to build an advertising network, including: A/B testing systems, budget management, creative selection, performance monitoring, campaign optimization, app profiling, and user profilingClosely examine the performance of the ad network to identify issues and propose data-driven ideas. Profile6/8 years+ of experience building machine learning systemsPrior experience working in dynamic, production-focused environmentsYou’re excited by the latest deep learning advancements but also familiar with the ins and outs of gradient boostingYou like to deep dive into complex topics to squeeze the last bit of performanceStrong achievements on Kaggle will be valuedYou enjoy working in a team, learning new things, sharing knowledgeExcellent Communication in English mandatory, French is a nice to haveEstimated Salary Range
Our AI-powered salary intelligence estimates this position's salary to be between $100,000 - $150,000. The actual salary may vary based on factors such as experience, location, and market trends.
