Data Science Team Leader

1 day ago

Tel Aviv, Tel Aviv, Israel Ethosia Full time ₪120,000 - ₪240,000 per year

A global leader in performance marketing, is looking for a talented
Data Science Team Leader
to join us on our mission to simplify decision-making for millions

What You'll Do

Responsibilities:

  • Lead, coach, and grow an applied data science team; set a high bar for craft, collaboration, and impact.
  • Own the full ML lifecycle - from problem framing and experimentation to scalable deployment, monitoring, and continual improvement.
  • Build and refine statistical & ML solutions on large-scale data (feature pipelines, metric estimation, insights), translating new research into production where it matters.
  • Uphold excellence in MLOps and data: code review and reproducibility, CI/CD for models, explainability and observability, and strong data quality/governance/compliance.
  • Collaboration across teams: Work closely with cross-functional teams - product managers, engineers, and business leaders - to identify opportunities, prioritize initiatives, and deliver impactful results.
  • Work hands-on with LLM embeddings - selection, evaluation, retrieval pipelines/vector stores - and integrate embedding features into downstream ML models at scale.
  • End-to-end project ownership with advanced modeling: Take ownership of projects from ideation and design to deployment, leveraging advanced machine learning and deep learning techniques to develop innovative solutions that address complex business challenges.
  • Develop scalable production-ready code: Develop for both real-time and batch modeling pipelines, collaborating with data and engineering teams for seamless integration.
  • Innovation and research: Stay ahead of industry trends by exploring and applying cutting-edge advancements in data science, machine learning, and AI to solve emerging challenges.
  • Lead the definition and build of products that form our core response to the AI-native "new search" era.

Requirements:

  • MSc in a quantitative field (math, statistics, computer science. etc.)
  • 3+ years of experience leading ML teams
  • Deep statistical & mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the art machine learning algorithms and statistical modeling
  • Strong background in Python with experience in Data & ML packages and OOP
  • Developing production systems
  • Experience with AWS ecosystems - an advantage

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