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Data Scientist (Senior Level)

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Onsite

Data Scientist (Senior Level)

Xiaomi Technology

Data Scientist (Senior Level)

Skills

SQL QueriesPythonData ScienceData AnalysisPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

9 September 2026

What they need


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.

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