Responsibilities
TikTok Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions. About Team Our social team's mission is to help people discover, build, and sustain meaningful connections. We design features that spark interactions, measure the health of relationships on our platform, and use experimentation and causal inference to ensure we're improving outcomes that matter-quality conversations, trusted interactions, and highly retained relationships. You'll collaborate closely with Product, Engineering, and Trust & Safety to turn insights into experiences that make connecting easier and better. What You'll Do - Participate in data science and data analysis work related to TikTok's UGC creation, social interaction, community interaction, photo-text business, deeply understand business logic and user needs, solve challenging problems in product and strategy optimization, and optimize user experience - Design a reasonable metric system to measure the growth of the business, identify anomalies through monitoring, decomposition, and prediction of core metrics, and attribute them - Measure the impact of strategies through quantitative analysis, statistical modeling, experimental design, causal analysis, etc., identify opportunities for business growth, and provide actionable iterative suggestions - Work closely with product, algorithm, operations, research and development teams to advance projects together
Qualifications
Minimum Qualifications - Master's degree or above, major in statistics, mathematics, economics, computer science, or related fields, with 2+ years of data analysis experience - Proficient in quantitative analysis, solid foundation in statistics, familiar with A/B testing, causal inference, machine learning models, etc. - Proficient in SQL, familiar with one or more tools in Python/R Preferred Qualifications - Strong logical thinking ability, self-driven, and strong cross-team communication and collaboration skills - Experience in the internet industry preferred - Understanding of recommendation systems, experience in analysis related to social platforms, photo&text communities, etc.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $136800 - $292600 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
