Responsibilities

Help lead the data science team for the TikTokShop EMEA Governance and Experience team. Dedicated to data insight and data solutions for governance and experience, helping to ensure a safe and trustworthy marketplace for our buyers, sellers and creators. - Data Science Leadership: Build and lead a high-performing data science team for the governance and experience function to support the EMEA region, providing guidance, mentorship, and fostering a culture of innovation and collaboration. Help elevate the analysis of the team from "data upon request" to truly driving new insight, identifying new opportunities, and helping craft solutions through data. - Data-Driven Decision Making: Develop and implement data-driven decision-making frameworks across the EMEA GNE organization. Translate complex data insights into actionable strategies and recommendations for senior management. Manage stakeholder expectations through regular communication and alignment on priorities. - Process improvement and automation: Identify opportunities to improve data science processes and workflows, potentially through automation. Leverage data intelligence systems to evolve, making the E-Commerce ecosystem better and better. - Improve data accessibility for GNE governance and experience teams; increase data understanding, improve dashboard availability and insight, etc. - Regularly monitor and report on the performance of data science models and initiatives, identifying areas for improvement and proposing optimization solutions. - Ensure adherence to data privacy regulations (GDPR, etc.) and best practices for data governance within the team. - Cross-functional Collaboration: Collaborate effectively with other departments (e.g., marketing, sales, product development) to ensure alignment on strategic goals and data-driven initiatives. - Manage the team's budget, forecasting needs, and tracking expenses.

Qualifications

Minimum Qualifications: - Master's degree or above in a quantitative field (e.g., statistics, mathematics, computer science, economics) or a related field with significant data science experience. An MBA is a plus. - 5+ years of experience in a data science or analytics leadership role, with a proven track record of success in driving business growth through data-driven insights. - Expertise in various statistical modeling techniques, machine learning algorithms, and data visualization tools. - Strong business orientation & problem solving skills: Deep understanding of the EMEA consumer market, including its unique cultural, economic, and technological landscape. Ability to identify and solve complex business problems using data-driven approaches. - Ability to operate effectively as part of international team: Global cooperation will be critical, as part of global GNE Data Science, Strategy, and Insight team. Work to leverage global best practices, customize for the EMEA market, and further pilot new projects for global role out. - Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate complex information to both technical and non-technical audiences. - Detail-orientated operational perspective: Governance and Experience teams are responsible for a variety of policies and operations across a large e-commerce marketplace. While the Data Science, Strategy, and Insight team does not directly own these policies, developing a deep understanding of the various operations is critical to success in this role, becoming a thought partner to leaders is critical. Preferred Qualifications: - Previous EMEA e-commerce experience recommended but not required.

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