Global Head of Data Science for Trust & Safety

TikTok Pte. Ltd.

Singapore

Sur place

SGD 250 000 - 420 000

Plein temps

14 jours+

Obtenez une réponse de cet employeur

Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.

Passez les filtres ATS

Résumé du poste

TikTok Pte. Ltd. is seeking a visionary Head of Data Science to lead the Trust & Safety Data Science organization across global regions.

You will define the strategic direction, build and mentor high-performing teams of data scientists, and ensure alignment with broader business priorities. You will partner closely with Product, Engineering, Policy, Operations and executive leadership to translate complex challenges into scalable data-driven solutions, set north-star metrics, and drive

Qualifications

Minimum 5 years of experience in Data Science, ML, Analytics, or related field.
5 years of experience leading and developing global Data Science or Analytics teams within a tech company.
Proven ability to define and execute organization-wide data strategies influencing product decisions.
Strong ability to communicate complex technical concepts to executives.

Responsabilités

Lead and define the global Data Science strategy for the Trust & Safety organization, ensuring alignment with business priorities and long-term company objectives.
Build, develop, and lead high-performing teams of Data Scientists across multiple regions.
Partner closely with Product, Engineering, Policy, Operations and executive leadership to translate business challenges into scalable data-driven solutions.
Define and evolve the organization's measurement framework, including north-star metrics, experimentation strategy, and operational KPIs.
Drive the development of advanced analytics, machine learning, forecasting, and optimization models that improve Trust & Safety decision-making and operational effectiveness.
Establish a strong data foundation by improving data quality, governance, observability, and measurement consistency across the organization.
Deliver executive-level insights through clear storytelling, influencing strategic investments and business priorities.
Champion an AI-first approach by identifying opportunities to leverage automation, GenAI, and predictive analytics across Trust & Safety workflows.
Foster a culture of technical excellence, innovation, collaboration, and continuous learning while attracting and developing world-class talent.
Represent the Data Science organization as a trusted strategic partner across global cross-functional leadership teams.