Data Scientist

A highly successful and profitable global gaming company that is engineering a next-generation entertainment and interactive gameplay experience.

Founded by tech-driven, serial entrepreneurs with a track record of high-profile acquisitions in the gaming industry, the venture has achieved exceptional market traction in a short period.

The company maintains an elite, R&D-focused workforce of several dozen professionals.

Operating from a modern office hub in Tel Aviv within short walking distance of the train station, the team works on-site to maintain high-velocity collaboration and rapid product iteration.

Position Overview-

• Data Scientist & AI Engineer joining a core R&D squad to design, develop, and deploy production-grade Machine Learning models and Generative AI pipelines that directly optimize gameplay dynamics and business logic.

• Architecting advanced Agentic AI systems and LLM pipelines utilizing frameworks like LangGraph, LangChain, and state-of-the-art model APIs (OpenAI, Anthropic, Google ADK).

• Designing and executing advanced statistical analysis, probability modeling, and rigorous A/B testing structures to extract actionable insights from massive gaming datasets.

• Collaborating closely with cross-functional technical and product teams to translate mathematical and algorithmic frameworks into high-impact, real-time backend features.

• Implementing advanced Prompt Engineering methodologies, inference optimization techniques, and data-driven AI behaviors to power intelligent in-game systems.

• Core Stack & Ecosystem- Generative AI, Agentic AI, LangGraph, LangChain, LLM APIs (OpenAI, Anthropic), Python, Machine Learning, Statistical Modeling, Probability Theory, Inference, and A/B Testing.

Requirements

• Academic Background: B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related exact science discipline from a tier-one university – Mandatory

• 2-10 years of proven professional experience operating as a Data Scientist or AI Engineer – Mandatory

• Hands-on, production-proven expertise engineering with Large Language Models (LLMs) and advanced AI frameworks (e.g., LangChain, LangGraph, OpenAI/Anthropic APIs, Google ADK) – Mandatory

• Prior professional background operating within fast-paced digital industries such as Gaming, Web, SaaS, AI, or high-scale Analytics platforms (Candidates from purely Medical, Low-Level/Hardware, or Heavy Industrial domains will not be a fit) – Mandatory

• Robust technical command of statistical modeling, hypothesis testing, probability, and production-level experimentation (A/B testing) – Mandatory

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