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.
About the Role:
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 PM\RD\MLE, to improve user experience and fulfill growth of TikTok in all different regions.
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Responsibilities
- Work with large and complex data to solve technical and statistical challenges, and drive business impact.
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Drive data informed decisions on experiment launches and rigorously measure the impact of product or technical changes.
- Validate hypotheses, identify product growth opportunities, and influence direction for improvement with analyses, experimentation or other scientific methods.
- Partner with engineers and product stakeholders to deliver product insights and strategy.
Qualifications
Minimum Qualifications
- Bachelor's degree in data science, statistics, econometrics, quantitative sociology or a related scientific major, with 2 years of related work experience.
- Expertise in SQL and programming in Python or R.
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness.
Preferred Qualifications
- Strong communication and teamwork skills.
- Passion about social products and curiosity to deep dive.
- Preferred: track record of driving business impact with data insights
- Preferred: Master or Ph.D. Degree in a quantitative field