Experienced Data Scientist

Playtika is looking for an Experienced Data Science to join the AI Department. This position is based in Herzliya, Israel.

We are looking for people with exceptional soft skills and outstanding hard skills.

We love to address complex intellectual challenges and make sense of high dimensional and dynamical data that impact the game experience of millions of players.

You will join a multidisciplinary team focusing on classical Machine Learning (ML) algorithms. We use strong statistical fundamentals with SOTA algorithms and cutting edge technologies to provide a better experience for our players. Our solutions translate directly to production (as part of a product) and serve the business needs from different use-cases & multiple studios.

We are looking for an outstanding data scientist, with strong problem-solving skills, to join a multi-disciplinary team of data scientists.

Responsibilities:

• Conduct a full data driven research including problem definition, data collection and validation, model development, evaluation, and deployment
• Analyze & demonstrate the impact of our solutions in real-time production
• Collaborate with cross-functional teams (engineers, BI, product) to develop, test, and deploy your models quickly and effectively
• Propose & contribute to scientific papers, blogs, conferences, etc.

Requirements:

• Sc. or Ph.D in Computer Science, Mathematics, Statistics, Engineering or a related field
• 2+ 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 ML
• Proficiency in Python
• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences (e.g., product managers, business domain experts, executives)
• Team player

Nice to have

• Proficiency in SQL, working experience of GIT
• Experience in the gaming industry and/or in the marketing domain
• Experience with temporal deep neural networks