Data Scientist Manager

A division builds advertising, in-game purchase promotions, and other personalized content delivery solutions and technologies used in hundreds of thousands of apps. Our Monetization team builds the technology infrastructure and serving systems that manage the delivery of relevant content to hundreds of millions of users every day. Our platform processes massive data sets that feed into machine learning systems that live in the core of various of our products.

Various deep-learning techniques are revolutionizing automated decision-making systems and is riding the front wave. investing in deep and deep-reinforcement learning development on multiple fronts. Specifically, Monetization is investing in mastering these methodologies and applying them to real-world problems of advertising, game economics, and monetization. we develop cutting-edge machine learning-centric products that provide millions of predictions for recommendations every second to optimize the effectiveness and profitability of user acquisition advertising campaigns. Thus, we are looking to add a Data Science Manager to join our amazing team, working in our Austin office.

vast game monetization ecosystem gives us a unique opportunity to leverage data and innovative machine-learning methods to benefit the gaming and game development communities. continuously striving to build disruptive and powerful solutions to enable game developers to be more successful.

What you'll be doing
Work with a global team (Tel Aviv, Montreal, Helsinki, and San Francisco) to revolutionize the personalization of user acquisition advertisement for mobile gaming
user acquisition product from the machine learning point of view in close collaboration with other data scientists, product management, and engineering
Manage team to Implement and drive the development of deep learning and machine learning algorithms with tech stack of Python/Spark/Tensorflow/Keras/PyTorch
Convey ideas, guide execution, and manage team members to implement high-quality data science and machine learning-based products
Participate in and initiate defining new business opportunities and products