Job Opportunities API

Join us at Playtika (NASDAQ: PLTK), where we're driven by the belief life needs play. We’re on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide.  From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence.   Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA.   With a strong financial foundation, disciplined operations, unwavering player-focused approach and  relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us.    Playtika is looking for   a   Data Scientist   Expert  – Production ML   to join the  Data &  AI  d epartment     In this position y ou will join a multidisciplinary team focused on personalization using Reinforcement Learning methods. Over the last few years, we have built a real-time recommendation engine based on Bayesian Multi-Armed Bandits  -  including our open-source  PyBandits library   -  serving millions of players across multiple studios and use-cases.     This is an applied research role , with impact measured in production . Your primary contribution will be advancing the mathematical and statistical foundations of our existing solutions: identifying limitations, deriving principled improvements, and owning those improvements all the way through to production. You will not be handed research problems from above  -  you will find them yourself, inside systems that are already running at scale.     Scaling here is fundamentally a mathematical problem: identifying better statistical methods, proving they hold under real-world constraints, and knowing exactly how far they deviate from the ideal. That's what sets this role apart.       Responsibilities   Identify mathematical and statistical limitations in existing ML solutions and deliver provably correct, more efficient alternatives    Validate the correctness of scaled solutions  -  diagnosing where distributed execution or approximation invalidates prototype-level results, and redesigning accordingly   Own the full lifecycle of your improvements: from research and prototyping through production deployment and impact measurement    Drive the evolution and scalability of our personalization and recommendation systems to meet future business and technical requirements    Contribute to  end-to-end data-driven research including problem definition, data collection, model development, evaluation, and deployment   Collaborate with cross-functional teams (engineers, BI, Product) to deploy solutions quickly and effectively   Mentor Data Scientists and ML Engineers, and serve as a technical reference on statistical and mathematical rigor across the organization         Qualifications     M.Sc  or  PhD  in  Computer Science, Mathematics, &n