Senior Data Scientist (Freelance)

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
At BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 30+ and have 40M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions.

Role

• Take ownership of our products modeling pipelines
• Contribute to high modeling performance through insightful ideas and initiatives.
• Build and deploy quickly scalable ML systems.
• Promote good coding practices, rigor and good-quality work.
• Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders.
• Deep dive into data to discover relevant insights.
• Build a rich understanding of the BeReal product, the company strategy, our products and their fit within the company’s daily operations.
• Be a team player by supporting your teammates and sharing with them your knowledge or new discoveries.

Profile

• Extensive experience building machine learning systems
• Strong background in building and optimizing recommendation algorithms
• Extensive experience with Python, SQL and MLOps best practices
• Cloud experience needed (ideally AWS but could be another cloud provider)
• Airflow and DBT experience is a nice to have
• Excellent Communication in English and French mandatory to liaise with both a tech and business audience.
• You enjoy working in a team, learning new things, sharing knowledge
• Experience in a tech startup/scaleup is a plus
• Strong achievements on Kaggle will be valued