Data Scientist Graduate (TikTok Shop EMEA DS) 2026 Start (BS/MS)

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Data Scientist Graduate (TikTok Shop EMEA DS) 2026 Start (BS/MS) 4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About The Team Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize performance and effectiveness of TikTok Shop. Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities
Collaborate with Business Operations, Product, Algorithms, Strategy, and Engineering teams to build data solutions for critical business problems and find new opportunities for growth. Conduct insightful analysis to drive business impact. Analyze data for trends and patterns, and interpret data with clear objectives in mind. Serve as lead data strategist to identify and integrate new datasets that can be leveraged through product capabilities, and work closely with the engineering team in the development of data products. Research and devise innovative statistical models and analytical experiments (A/B tests) for data analysis, staying current with technical and industry developments. Utilize algorithms and models to mine big‑data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy. Adopt AI in daily workstreams and build AI data solutions for automated and scalable analysis.
Qualifications Minimum Qualifications
Bachelor’s degree or above; computer science, statistics, mathematics, or other related majors preferred. English can be used as a working language. Skilled in SQL, Excel, and at least one scripting language such as Python; familiar with common statistical and analytical methods. Strong communication skills, teamwork spirit, and initiative. Strong logical thinking ability, business interpretation ability, and fast learning ability. Sensitivity to numbers and passion for data analysis.
Preferred Qualifications
Internship experience in Data Science or Data Analyst roles.
About TikTok TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, with additional offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover, and connect — and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and bring joy — a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We are resilient and embrace challenges as they come. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe — and so does our workplace. To achieve our mission to inspire creativity and bring joy, we celebrate our diverse voices and strive to create an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Senior Level Internship Employment Type Full-time Job Function Engineering and Information Technology Industries Technology, Information and Internet #J-18808-Ljbffr
Location:
City Of London, England, United Kingdom
Job Type:
FullTime

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