Data Scientist

Bachelor’s degree or above in Computer Science, Statistics, Mathematics, Information Engineering, or related fields. 3+ years of experience as a Data Scientist, Data Product Manager, Data Engineer, or Growth Analyst. Strong SQL skills for complex joins and large-scale queries. Proficient in Python for data cleaning, analysis, and automation. Solid understanding of data warehouse modeling concepts. Familiar with online experimentation (A/B testing), including metric design and statistical testing. Proven experience working closely with business teams. Strong communication skills for collaboration with product, business, and engineering stakeholders. Highly self-driven with a strong sense of ownership.

Review and refactor existing data structures and semantics. Design and drive a unified data model and metric definitions. Partner with engineering on data warehouse modeling and pipeline design. Own methodology and implementation for A/B testing and online experiments. Design experiment pipelines including traffic allocation and analysis workflows. Develop standardized experiment analysis frameworks. Engage with business lines to define problems and key metrics. Provide data analysis and experiment recommendations. Identify growth opportunities and product optimization directions. Promote data naming conventions and tracking standards. Establish data quality monitoring mechanisms. Document and socialize internal best practices for data.