Data Scientist Intern (VOD Data) - 2027 Summer

Data Scientist Intern (VOD Data) - 2027 Summer at TikTok in San Jose, CA.

Responsibilities

The Multimedia Data Scientist position at TikTok focuses on optimizing the app experience for users through data-driven solutions. The role involves collaboration with various teams to enhance content creation journeys, utilizing statistical models and data mining techniques to identify opportunities for personalized user publishing experiences. The ideal candidate will work in a fast-paced environment, contributing to the development of metrics and monitoring capabilities, conducting experiments, and providing actionable insights based on data analysis.

• We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
• Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
• Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
• Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
• Develop the experience metric system and the corresponding monitoring capability across different stages of creation
• Conduct experimentation, define launch standards and provide suggestions on experiment iterations
• Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement
• Use data mining for understanding user needs and build models that enable personalized publishing experience
• Work with various partners on landing solutions that meet the needs for evolving products
• Build systemic problem solving capability and research on cutting-edge methodologies

Requirements

• Currently pursuing an Undergraduate/Master in Computer Science, Computer Engineering or a related technical discipline
• Experience in data science roles, preferably working on mobile application performance analysis and user experience optimization
• Experience working with creation-oriented user behavior
• Proficient in SQL and Python; experience with big data tools such as Hive or Spark.

Preferred Qualifications

• Experience within the entertainment industry, streaming, social applications
• Experience working in a fast-paced environment with rapid product iterations
• Experience in A/B testing, metric design, and causal inference.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.