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 Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo's first-party data to improve Voodoo's monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal's recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The product is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers who iterate together on finding and building the next performing iteration. This position is hybrid and requires 2-3 days per week in the office based in Paris. Our Stack * Python ⧫ Pandas ⧫ Scikit learn ⧫ LightGBM ⧫ Pytorch ⧫ Spark ⧫ SQL ⧫ Airflow ⧫ DBT ⧫ Athena ⧫ Amazon Web Services ⧫ Tableau Role * Improve existing models or propose new approaches to our current install rate and LTV estimation models * Build and deploy scalable ML systems. * Swiftly tackle incidents and strive to make the system robust * Work closely with product managers and other engineers to ensure that incremental ML performance translates into significant business impact * Discuss state-of-the-art ML topics with other data scientists, share ideas and challenge existing systems * Gain an 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 profiling * Regularly examine the performance of the ad network to detect anomalies or propose new data-driven ideas. Profile * 3-5 years of experience building machine learning systems * Prior experience working in dynamic, production-focused environments * You're excited by the latest deep learning advancements but also familiar with the ins and outs of gradient boosting * You like to deep-dive into complex topics to squeeze the last bit of performance * You enjoy working in a team, learning new things, sharing knowledge * Excellent communication in English is mandatory, French is a nice-to-have * Strong achievements on Kaggle will be valued Benefits * Competitive salary * Comprehensive relocation package (including visa support) * Premium healthcare (SideCare) for you and your family 100% borne by Voodoo * Swile Lunch voucher * Gymlib (100% borne by Voodoo) * Wellness activities in our Paris office * Unlimited vacation policy * Remote days * Child daycare facilities (Les Petits Chaperons rouges)