Data Scientist (Senior)
Summary
Lead data-driven initiatives by building business metrics, analyzing user behavior, and optimizing product performance through A/B testing and experimentation frameworks.
Job Summary
Lead data-driven initiatives by building comprehensive business metrics, conducting advanced analyses, and delivering actionable insights to optimize user acquisition, engagement, and product performance. Collaborate cross-functionally and mentor team members to elevate data capabilities.
Responsibilities
- Build multi-dimensional business metrics (user, traffic, conversion, revenue) and define North Star metrics to deliver dashboards and reports covering 90% of daily data needs
- Monitor core data daily, conduct anomaly analysis, and establish intelligent monitoring frameworks to quickly identify and resolve data issues
- Quantify user behaviors and identify key growth opportunities to support strategy design for user acquisition and engagement
- Optimize app features and traffic funnels through A/B testing and experimentation frameworks to improve overall user lifetime value (LTV)
- Lead the design and standardization of the business metrics system, ensuring KPI consistency and alignment across product lines and markets
- Translate complex business problems into structured analytical frameworks and independently drive end-to-end analysis projects from problem definition to actionable recommendations
- Partner with product and operations teams to evaluate the impact of new features, campaigns, and market strategies through rigorous quantitative analysis
- Develop and maintain self-serve analytics tools and data products that empower business teams to independently access insights
- Mentor junior data scientists and analysts by conducting code and analysis reviews and promoting best practices in data analysis methodology
- Identify data gaps and opportunities proactively, driving improvements in data collection, instrumentation, and overall data infrastructure quality
Required competencies and certifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- Minimum 5 years of experience as a Senior Data Analyst or in a similar role
- Proficiency in data analysis tools and databases such as SQL, Python, Power BI, Quick BI
- Strong skills in data gathering, cleaning, and transformation techniques
- Ability to analyze large datasets and produce comprehensive reports
- Strong problem-solving skills with attention to detail and an analytical mindset
- Excellent communication skills to explain complex concepts clearly to non-technical stakeholders and engage key stakeholders across different markets