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Playtika Data Science Expert 
Switzerland 
972828893

11.03.2025

Playtika is looking for a
Lausanne, Switzerland.

Over the past 5 years, we have implemented a real-time recommendation engine based on Bayesian multi-armed bandits (see our ). Our solution is now expanding to more use-cases and needs more algorithmic capabilities (quantitative recommendations, sequential recommendations, and bundle recommendations).

Responsibilities:
  • Discuss business opportunities with stakeholders, and propose relevant DS product/solutions
  • Propose, lead, and conduct ML research applied to users’ recommendations and experience personalization
  • Identify, propose and perform the development of new DS prototypes
  • Analyze & demonstrate the impact of our solutions in real-time production
  • Own the value of DS solution: from scoping & prototyping throughout entire production life. Identify the need to adjust and pivot, be able to negotiate requirements/capabilities with the stakeholders.
  • Enable transfer and best usage of the solution by stakeholders after value demonstration
  • Propose & contribute to scientific papers, blogs, conferences, etc.
  • Mentor DS/MLE colleagues and act as DS Subject Matter Expert within the organization
Requirements:
  • M.Sc. in Data Science / Statistics / Engineering or others quantitative field
  • 5+ years of work experience
  • Strong problem-solving and scientific reasoning skills, to efficiently shape and drive complex data science projects
  • Deep theoretical and practical knowledge of Machine Learning and/or Bayesian statistics
  • Proficiency in Python, working experience with is an advantage
  • Experience with causal inference is a significant advantage
  • Ability to present complex projects to non-experts (e.g., product managers, business domain experts, executives)

Nice to have

  • PhD in Data Science / Statistics / Engineering or others quantitative fields
  • Experience with recommender systems (e.g., multi-armed bandits)
  • Proficiency in SQL, working experience of GIT
  • Knowledge of Hive and Hadoop, plus notions of Spark
  • Experience with model deployment, CI/CD not required, but a plus