TikTok Shop - Data Science Lead, Governance & Experience, EMEA

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TikTok Shop – Data Science Lead, Governance & Experience, EMEA, London

Client: TikTok

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: c868db4d11b2

Job Views: 4

Posted: 18.04.2025

Expiry Date: 02.06.2025

Job Description:

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.

1. 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.
2. 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.
3. 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.
4. Data Accessibility: Improve data accessibility for GNE governance and experience teams; increase data understanding, improve dashboard availability and insight.
5. Performance Monitoring: Regularly monitor and report on the performance of data science models and initiatives, identifying areas for improvement and proposing optimization solutions.
6. Data Privacy Compliance: Ensure adherence to data privacy regulations (GDPR) and best practices for data governance within the team.
7. Cross-functional Collaboration: Collaborate effectively with other departments (e.g., marketing, sales, product development) to ensure alignment on strategic goals and data-driven initiatives.
8. Budget Management: Manage the team\’s budget, forecasting needs, and tracking expenses.

Minimum Qualifications:

1. 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.
2. 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.
3. Expertise in various statistical modeling techniques, machine learning algorithms, and data visualization tools.
4. Strong business orientation & problem-solving skills: Deep understanding of the EMEA consumer market, including its unique cultural, economic, and technological landscape.
5. Ability to operate effectively as part of an international team: Global cooperation will be critical, leveraging global best practices and customizing for the EMEA market.
6. Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate complex information to both technical and non-technical audiences.
7. Detail-oriented operational perspective: Developing a deep understanding of various operations is critical to success in this role.

Preferred Qualifications:

Previous EMEA e-commerce experience recommended but not required.

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Created on 18/04/2025 by TN United Kingdom

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