Data Science - Playtika

M.Sc or PhD in Computer Science, Mathematics, Statistics , Engineering or a related field 5 + years of relevant work ing experience , including significant production ML ownership Demonstrated experience taking statistically sophisticated models from prototype to production and operating them successfully under real-world business constraints. Experience with neural network architectures, including the ability to diagnose, interpret and debug their behavior in probabilistic or decision-making contexts (e.g. Bayesian Neural Networks, Neural Linear models) Strong theoretical foundation in at least one of: Multi-Armed Bandits, Bayesian methods, online learning, recommendation systems, or related decision-making frameworks Strong understanding of experimentation, causal inference and statistical evaluation of online decision systems. Strong hands-on Python engineering skills, with the ability to design, implement, review, and maintain production-quality code, leveraging modern AI coding assistants (e.g., Claude, Cursor) to improve productivity and code quality Proficiency in SQL Clear written and verbal communication - able to explain statistical reasoning to non-technical stakeholders Ability to operate autonomously and influence decisions across teams without direct authority. Experience with probabilistic programming frameworks (e.g. PyMC or Numpyro ) Familiarity with MLOps tooling (experiment tracking, model serving, monitoring) Familiarity with approximate inference methods (variational inference, MCMC) Experience with PySpark Experience in the Mobile G aming industry Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice. By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you feel the above describes you perfectly - Apply now! Employee at Playtika? Click here

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

M.Sc or PhD in Computer Science, Mathematics, Statistics , Engineering or a related field 5 + years of relevant work ing experience , including significant production ML ownership Demonstrated experience taking statistically sophisticated models from prototype to production and operating them successfully under real-world business constraints. Experience with neural network architectures, including the ability to diagnose, interpret and debug their behavior in probabilistic or decision-making contexts (e.g. Bayesian Neural Networks, Neural Linear models) Strong theoretical foundation in at least one of: Multi-Armed Bandits, Bayesian methods, online learning, recommendation systems, or related decision-making frameworks Strong understanding of experimentation, causal inference and statistical evaluation of online decision systems. Strong hands-on Python engineering skills, with the ability to design, implement, review, and maintain production-quality code, leveraging modern AI coding assistants (e.g., Claude, Cursor) to improve productivity and code quality Proficiency in SQL Clear written and verbal communication - able to explain statistical reasoning to non-technical stakeholders Ability to operate autonomously and influence decisions across teams without direct authority. Experience with probabilistic programming frameworks (e.g. PyMC or Numpyro ) Familiarity with MLOps tooling (experiment tracking, model serving, monitoring) Familiarity with approximate inference methods (variational inference, MCMC) Experience with PySpark Experience in the Mobile G aming industry Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice. By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you feel the above describes you perfectly - Apply now! Employee at Playtika? Click here