Data Science Engineer

An exceptionally successful, highly profitable Israeli AdTech company has engineered an autonomous, ML-driven Real-Time Bidding (RTB) platform operating across global ad exchanges.

Operating as an elite engineering powerhouse, the company provides data specialists the unique opportunity to deploy high-impact models directly into a petabyte-scale production environment with immediate feedback loops.

The company's R&D headquarters is located in Tel Aviv (exceptionally accessible, situated directly on primary train and light rail lines) and operates on a hybrid model allowing for one day of remote work per week.

Position Overview-

• Applied Data Scientist joining a core, highly technical data squad to lead algorithmic projects end-to-end from conceptualization to live production (pure applied/implementation focus, no isolated research).
• Developing and scaling high-throughput Machine Learning models and advanced statistical algorithms centered around Exploration & Exploitation strategies.
• Mining petabyte-scale big data environments to uncover hidden traffic patterns, optimize real-time auction bidding, and directly influence high-stakes business KPIs.
• Partnering closely with cross-functional engineering and product teams to translate complex data analytics into highly scalable, real-world system behaviors.

Requirements-

• 5 years of proven professional experience as a Data Scientist operating within high-scale Big Data or B2C product environments (Mandatory).
• Deep, hands-on production experience designing, training, and deploying Machine Learning algorithms (Mandatory).
• Strong production-grade programming and data-manipulation capabilities in Python (Mandatory).
• Proven experience working with enterprise Data Visualization and Business Intelligence tools, such as Tableau, Looker, or equivalent frameworks (Mandatory).
• Strong technical capability querying and extracting insights from massive, multi-layered datasets.

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