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Data Science Group Manager

Taboola

$237,000 - $260,000
Sep 22, 2025
Los Angeles, CA, US
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Taboola is looking to solve the problem of enhancing platform performance, user experience, and business value through the development of AI-driven products and services, specifically focusing on large-scale recommendation systems, personalization models, content understanding, and LLM-powered agent technologies.

Requirements

  • 6+ years of hands-on experience in data science and machine learning
  • Strong understanding of backend architectures (e.g., microservices, distributed systems) and data science principles (e.g., data analytics, machine learning, generative AI (LLMs), big data processing).
  • Familiarity with cloud platforms, data pipelines, and deployment best practices
  • Proficiency in Agile or similar project management methodologies, with a history of managing resources, timelines, and project risks effectively.
  • experience for recommendation systems, search, or ads
  • Knowledge of data privacy, security, and compliance in relation to online platforms.
  • Define and monitor performance metrics (CTR, CVR, RPM, calibration, recall@k).

Responsibilities

  • Set technical direction for large-scale recommendation systems, personalization models, content understanding, and LLM-powered agent technologies
  • Build AI-augmented teams trained to use these tools for faster prototyping, iteration, and decision-making.
  • Lead multiple R&D teams, providing mentorship and career development for engineers and data scientists.
  • Manage planning and execution of complex R&D projects.
  • Drive development of large-scale recommendation systems, including candidate generation, retrieval, ranking, and post-ranking techniques (e.g., diversity, fairness, pacing, deduplication).
  • Lead design and deployment of LLM-powered agents for creative review, content moderation, developer productivity, and services automation.
  • Set technical vision across backend and data science workstreams.

Other

  • at least 3+ years in a managerial role overseeing multiple teams or managers.
  • Proven track record of managing complex, large-scale R&D projects in a tech-driven environment, preferably within an online platform or SaaS company.
  • Ability to align team goals with broader business objectives and make decisions that impact long-term outcomes.
  • Partner closely with Product, Frontend, Backend, Policy, and Professional Services and other departments to ensure alignment and successful integration of development work with broader business initiatives.
  • Collaborate with senior leadership to shape the R&D roadmap, prioritize innovation opportunities, and ensure technical capabilities align with company growth objectives.