Data Scientist Intern – User Behavior Modeling

Job Description

Data Scientist Intern | TikTok

The Tone:
This is an internship at TikTok, located in Los Angeles, CA. TikTok is the leading global destination for short-form mobile video, focused on inspiring creativity and bringing joy to its users. The Data Science Team plays a critical role in supporting all key value chains across the company by transforming data into actionable insights that guide business decisions. This internship offers students valuable industry exposure and practical experience, contributing to the development of fundamental skills and exploration of potential career paths within a global tech company.

The TL;DR
• Role: Internship
• Location: In-person, Los Angeles, CA
• Pay: $35 hourly
• Team: TikTok-Data Science Team, cooperating with key value chains including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science.
• Mission: To generate actionable insights from data, define metrics, conduct root cause analysis, and evaluate strategies to help stakeholders make informed decisions, with a specific focus on user value and behavior prediction models.
• Tech Stack: Excel, SQL, Python, R, Tableau, Power BI, Think-Cell

What You’ll Actually Do
• Construct: Participate in the building and optimization of long-term user value (LTV) models and other models that predict user behavior.
• Analyze: Utilize machine learning and deep learning techniques for data mining, and refine user profiles and behavior analysis.
• Evaluate: Design A/B tests and other causal inference methods to assess model performance and facilitate their integration into business scenarios.
• Process: Handle and clean large volumes of data, establish high-quality datasets, and enhance overall data integrity.
• Collaborate: Work alongside product and data engineering teams to drive the adoption of data-driven decision-making processes.

The Must-Haves
• Background: Currently pursuing an undergraduate or graduate degree in a quantitative field such as mathematics, statistics, economics, or computer science.
• Experience: Previous internship or project experience in business analysis or other data-related roles, demonstrating the ability to analyze data and extract actionable insights.
• Skills: Familiarity with Excel, SQL, Python, or R. Foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell. Strong analytical capabilities, problem-solving abilities, and attention to detail.
• Bonus: Experience in the ads or marketing industry. Business-level English proficiency with strong verbal and written communication skills to engage stakeholders and present findings clearly to non-technical audiences. Capability to collaborate effectively with cross-functional teams to implement solutions and achieve results.