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Voodoo

Free mobile games monetized by ads

Lead Data Scientist - BI/Prediction

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listed

About the Job

Requirements

  • Extensive experience building machine learning systems.
  • Extensive experience with Python, SQL, and MLOps best practices.
  • Cloud experience is required; AWS is preferred, but experience with another cloud provider is acceptable.
  • Excellent communication skills in English and French are mandatory.

Responsibilities

  • Take ownership of the products' modeling pipelines.
  • Contribute ideas and initiatives that improve modeling performance.
  • Build and quickly deploy scalable machine learning systems.
  • Engage with colleagues across the company, including product managers, teammates, and stakeholders, to leverage ideas and perspectives and cooperate effectively.
  • Analyze data in depth to discover relevant insights.
  • Build an understanding of the mobile gaming industry, company strategy, products, and their fit within daily operations.
  • Mentor and guide a team of data scientists, fostering technical excellence and autonomy.
  • Establish and enforce best practices in machine learning engineering, experimentation, and reproducibility across projects.
  • Promote impact-driven research so models deliver both technical performance and tangible business value.
  • Identify risks in modeling approaches, data quality, scalability, and business alignment, and design mitigation strategies.

Desired Qualifications

  • Experience with Airflow and dbt.
  • Experience in a technology startup or scaleup.
  • Strong achievements on Kaggle.

About the Company

Voodoo

Free mobile games monetized by ads

Voodoo.io creates free, accessible mobile games and apps, mainly hyper-casual games, and earns revenue through advertising. It also provides advertising services to brands that want to reach a premium mobile gaming audience. The games run by displaying ads via partnerships with ad networks; data analytics help optimize user engagement and ad performance, with a focus on user consent, privacy controls, and avoiding data collection from anyone under 16. The company differentiates itself with a large in-house team of artists and developers for mobile marketing content, a broad U.S. user base, and an integrated approach that combines entertaining free games with brand advertising opportunities. Its goal is to reach millions of global users with free content while generating ad-based revenue and helping brands connect with mobile gamers in a privacy-conscious manner.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$492.6M
Headquarters
Paris, France
Founded
2013

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