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Data Scientist
3 years ago
Description
Playtika Holding Corp. is a leading mobile gaming company and monetization platform with over 35 million monthly active users across a portfolio of games titles. Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has over 3,700 employees in 19 offices worldwide including Tel-Aviv, London, Berlin, Vienna, Helsinki, Montreal, Chicago, Las Vegas, Santa Monica, Newport Beach, Sydney, Kiev, Bucharest, Minsk, Dnepr, and Vinnitsa.
Playtika is Looking for a Principal Data Scientist to join our team.
Playtika provide one-stop-shop online marketing services to its ~15 online games, making Playtika a major player in the world marketing domain. Marketing AI group enables Playtika’s marketers to have an optimized decision-making process by leveraging marketing domain understanding, player data and AI.
Responsibilities
- You will work on practical applications that influence millions of people
- You will apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies.
- You will develop machine learning and deep learning models for time series and tabular data.
- You will collaborate with other scientists, engineers, designers and analysts all over the world.
- You will work in a supportive environment in one of the best companies in Israel- You will participate in the cutting-edge and relevant research in unsupervised learning, causal inference, reinforcement learning, and other areas and will publish research papers in prestigious conferences.
Requirements
- PHD in computer science, electrical engineering, or related areas from a top university with a proven publication record in top conferences or journals
- Lead, mentor, and grow the team, and build our data science culture.
- Strong theoretical and practical background in a variety of machine learning techniques, including supervised\unsupervised learning, Deep learning, reinforcement learning and more
- Passionate about making sense of user behavior using AI
- Possess hands-on experience in machine learning and data science with good coding skills in Python\R and familiar with TensorFlow\PyTorch\Keras\PyMC3
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