Job Description
- PhD in relevant field
- Recommender systems experience
- SQL proficiency
- Causal inference experience
- 5+ years experience
- Strong problem-solving skills
- Deep ML/Bayesian Statistics knowledge
- Python proficiency
- Excellent communication
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 Senior/ Expert Data Scientist to join the AI Department. This position is based in Lausanne, Switzerland.
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 recommendation systems. We use strong statistical fundamentals with classical and cutting-edge Machine Learning (ML) 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 a senior/expert Data Scientist to join a multi-disciplinary team of experts (Data Scientists, Machine Learning & Platform engineers, architect, and product manager).
Over the past 5 years, we have implemented a real-time recommendation engine based on Bayesian multi-armed bandits (see our , and the of our AI solution). Our solution is now expanding to more use-cases and needs more algorithmic capabilities (quantitative recommendations, sequential recommendations, and bundle recommendations).
We are looking for an exceptional Data Scientist, with strong problem-solving skills, to join and enjoy with us a dynamic and stimulating environment.
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:
- Sc. in Data Science / Statistics / Engineering or others quantitative fields
- 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
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!
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