Head of Data Science, Trust and Safety - USDS job opportunity at Tiktok.

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Tiktok Head of Data Science, Trust and Safety - USDS
Experience: 1-year
Pattern: full-time
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Data Scientist

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degreeMaster's (M.Sc.)
loacation SAN JOSE, CA, United States Of America
loacation SAN JOSE, CA....United States Of America

Responsibilities Role Overview We are seeking an experienced and impactful Head of #Data #Science leader to guide a pivotal pillar within TikTok USDS Trust and Safety organization. This strategic role involves leading and mentoring a large, diverse team of 30+ data professionals. You will be instrumental in defining and driving the data strategy for the US market—servicing critical functions like Operations, Policy, Product, and Risk and Response—while ensuring seamless collaboration with Global TikTok Trust and Safety Strategies to safeguard our platform and users. Head of Data Science may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; in response to escalation requests; or by chance. Some content viewed my violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder. In order to enhance #collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Key Responsibilities Lead, mentor, and grow a large, high-performing data science team, fostering a culture of innovation and collaboration. Define the strategic roadmap for data science initiatives within US Trust & Safety, aligning with global objectives and business priorities. Drive advanced analytics, experimentation (A/B testing), and root cause analysis to identify key insights and influence product and operational decisions. Lead the end-to-end development, implementation, and #optimization of #machine learning models for detecting and mitigating deceptive behaviors, fraud, and other safety risks. Partner closely with cross-functional teams including Product, Engineering, Policy, Operations, and Risk & Response to translate business problems into data science solutions. Ensure data accuracy, consistency, and the development of robust data pipelines and infrastructure to support analytical and modeling needs. Provide leadership in leveraging data to proactively address emerging threats and continuously enhance platform safety and integrity.

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