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Head of Data Science [Search, Recommendation, Ranking, Personalisation]

Head of Data Science [Search, Recommendation, Ranking, Personalisation]

Talent SeedSan Francisco, CA, United States
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Head of Data Science [Search, Recommendation, Ranking , Personalisation]

This range is provided by Talent Seed . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00 / yr - $250,000.00 / yr

This role requires relocation to Dubai

About the Role

We are seeking a Head of Data Science to lead and scale our Data Science team. This is a senior leadership role at the intersection of cutting-edge AI innovation and high-impact production systems.

You will be managing a central team including managers, Data Scientists, ML and software engineers across multiple pillars, including Personalisation & Search, AI optimisation, GenAI and ML platform.

Key Responsibilities

  • Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritisation of product, growth and optimisation initiatives
  • Lead, mentor, and grow a high-performing team of data scientists focused on algorithm development, machine learning, experimentation and advanced analytics
  • Partner with Product, Engineering, and Design to integrate solutions into scalable, production-grade systems and customer-facing experiences
  • Champion data-driven decision-making, ensuring that product and strategy decisions are informed by rigorous quantitative analysis
  • Drive innovation by staying current with emerging research, technologies, and industry best practices in algorithms, optimisation, and applied machine learning

Qualifications

  • 10+ years of progressive experience in data science, machine learning, optimisation, or causal inference, including building and deploying algorithms in production systems
  • 3+ years of people management experience leading high-performing technical teams, with a proven ability to mentor, develop, and retain top talent
  • Deep expertise in machine learning, experimental design, causal inference, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions
  • Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems
  • Experience navigating complex, ambiguous problem spaces and guiding teams through prioritisation, tradeoffs, and execution
  • Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus
  • Strong analytical skills, with experience in extracting user behaviour insights from large datasets

    • Seniority level

  • Director

    • Employment type

  • Full-time

    • Job function

  • Information Technology

    • Industries

  • Technology
  • Information and Media
  • IT Services and IT Consulting
  • Financial Services

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