Data Scientist (Senior Level)

Responsibilities:

• Build multi-dimensional business metrics (user, traffic, conversion, revenue), define North Star metrics, and deliver dashboards/reports covering 90% of daily data needs.
• Monitor core data daily, conduct anomaly analysis, and establish intelligent monitoring frameworks to quickly identify and resolve issues.
• Support strategy design for user acquisition and engagement by quantifying user behaviors and identifying key growth opportunities.
• Optimize app features and traffic funnels through A/B testing and experimentation frameworks to enhance overall user lifetime value (LTV).
• Lead the design and standardization of the business metrics system, ensuring consistency and alignment of KPIs across product lines and markets.
• Translate complex business problems into structured analytical frameworks; 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 access insights independently.
• Mentor junior data scientists and analysts, conduct code/analysis reviews, and promote best practices in data analysis methodology across the team.
• Proactively identify data gaps and opportunities, drive improvements in data collection, instrumentation, and overall data infrastructure quality.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience, as a Senior Data Analyst or similar capacity.
• Proficiency in data analysis tools and databases such as SQL, Python, Power BI ,Quick BI, etc.
• Strong knowledge of data gathering, cleaning, and transforming techniques.
• Ability to analyze large datasets and write comprehensive reports.
• Strong problem-solving skills, attention to detail, and analytical mindset.
• Excellent communication skills with the ability to explain complex concepts in a simplified manner to non-technical stakeholders.
• Strong communication skills, with the ability to engage key stakeholders across different markets.

Tagged as: Data Analysis, Power BI, Python, SQL