Data Scientist, Global E-commerce
TikTok, Seattle, Washington
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Not stated
- Area
- Data science
- Posted
- Not stated
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About the role
About the team: Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.
Responsibilities: - Build out reporting to track product performance using data visualization tools. - Bring strong desire to learn in a fast paced environment while collaborating with business stakeholders and technical leads. - Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success. - Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they're performing at their goals.
Requirements Minimum Qualifications: - Bachelor's degree or above in computer science, statistics, math, internet security or other relevant majors. - 5 years of work experience in data analytics/science or other relevant fields. - Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python.
Preferred Qualifications: - Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies. Bonus given to proficiency in data mining skills e.g. modern machine applications. - Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner.
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Listed; checked 13 h ago. First seen by us 13 h ago. Being listed doesn't mean the team is actively interviewing.