Data Scientist-Analytics - TikTok

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ByteDance

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Job Summary


Salary
S$9,217 - S$18,435 / Monthly EST

Job Type
Permanent

Seniority
Mid Senior

Years of Experience
At least 5 years

Tech Stacks
Python SQL R Strategy

Job Description

The primary role of a Senior 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. 

Responsibilities - What You'II Do 
- 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. 
- As a domain expert, solve difficult problems such as understanding and improving ecosystems, optimizing recommendation systems, conducting statistical research on causal inference; drive team's improvement on analytical rigor and quality.

Qualifications
- Bachelor's degree in data science, statistics, econometrics, quantitative sociology or a related scientific major, with 5+ 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. 
- Strong communication, influence and product leadership. 
- Track record of driving business impact with data insights. 
- Passion about social products and curiosity to deep dive. 
- Preferred: knowledge of machine learning and recommendation systems. 
- Preferred: Master or Ph.D. Degree in a quantitative field 

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