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Hybrid

Data Science

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Data Science

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Big DataE-commerce WebsitesPythonData ScienceRAICommunication Campaign

18 hours ago

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Important information


Contract type:

Permanent

Location:

Tel Aviv District, Israel

Work mode:

Hybrid

Published on:

21 October 2026

What they need


An exceptional, highly successful global AdTech corporation specializing in AI-driven digital advertising and marketing campaign automation.

As an industry pioneer, the platform autonomously orchestrates massive media spending and creative lifecycles for world-renowned brands across tier-one digital networks.

The enterprise operates a highly collaborative global footprint, anchoring an elite, tight-knit R&D innovation center in Central Israel (highly accessible via major transit lines). The company offers a structured hybrid model.

Position Overview

  • Data Science Team Lead / Senior Professional taking strategic, functional responsibility over an organic squad focused on delivering sophisticated analytical insights and production-grade algorithms.
  • Leading the end-to-end (E2E) research, design, and deployment of advanced mathematical and statistical models, translating raw behavioral metrics into live actionable telemetry.
  • Architecting complex predictive frameworks with a heavy emphasis on large-scale Time Series analysis, forecasting, and data transformations using both classic and cutting-edge statistical methodologies.
  • Engineering and scaling low-latency algorithms across massive Big Data clusters, implementing production pipelines utilizing Python and distributed computing architectures.

Requirements-

  • Academic Background: M.Sc. or Ph.D. in a highly quantitative or technological discipline – Mandatory
  • 5+ years of proven professional experience operating as a Data Scientist within structured, production-heavy R&D environments – Mandatory
  • 1+ years of experience in a leadership capacity (Team Lead, Tech Lead, or professional mentor) – Mandatory
  • Deep, proven hands-on expertise specializing in Time Series forecasting and analysis – Mandatory
  • Mastery of complex statistical principles, including Causal Inference, Bayesian Methods, or optimization models – Mandatory
  • Advanced programming fluency in Python alongside robust experience within Big Data and Spark environments – Mandatory
  • Prior background in high-scale domains dealing with real-time user behavior, such as AdTech, FinTech, or E-commerce – Significant Advantage

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