Experienced Data Scientist - AdTech

<span>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.</span><br/><b>Team </b><br/><span>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.</span><span>The product is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists.</span><br/><span>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.</span><br/><b>This position is hybrid and requires 2-3 days per week in the office based in Paris.</b> <h3>Our Stack </h3> <ul> <li>Python ⧫ Pandas ⧫ Scikit learn ⧫ LightGBM ⧫ Pytorch ⧫ Spark ⧫ SQL ⧫ Airflow ⧫ DBT ⧫ Athena ⧫ Amazon Web Services ⧫ Tableau</li></ul> <h3>Role </h3> <ul> <li>Improve existing models or propose new approaches to our current install rate and LTV estimation models</li><li>Build and deploy scalable ML systems. </li><li>Swiftly tackle incidents and strive to make the system robust</li><li>Work closely with product managers and other engineers to ensure that incremental ML performance translates into significant business impact</li><li>Discuss state-of-the-art ML topics with other data scientists, share ideas and challenge existing systems</li><li>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</li><li>Regularly examine the performance of the ad network to detect anomalies or propose new data-driven ideas.</li></ul> <h3>Profile</h3> <ul> <li>3-5 years of experience building machine learning systems</li><li>Prior experience working in dynamic, production-focused environments</li><li>You’re excited by the latest deep learning advancements but also familiar with the ins and outs of gradient boosting</li><li>You like to deep-dive into complex topics to squeeze the last bit of performance</li><li>You enjoy working in a team, learning new things, sharing knowledge</li><li>Excellent communication in English is mandatory, French is a nice-to-have</li><li>Strong achievements on Kaggle will be valued</li><br/></ul> <h3>Benefits </h3> <ul> <li>Competitive salary </li><li>Comprehensive relocation package (including visa support)</li><li>Premium healthcare (SideCare) for you and your family 100% borne by Voodoo</li><li>Swile Lunch voucher</li><li>Gymlib (100% borne by Voodoo)</li><li>Wellness activities in our Paris office</li><li>Unlimited vacation policy</li><li>Remote days</li><li>Child daycare facilities (Les Petits Chaperons rouges)</li></ul>