Mandarin-Speaking Data Scientist: Panel Health

Nabla

Kuala Lumpur

Hybrid

MYR 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Hybrid work
Ongoing trainings
Growth opportunities
LinkedIn Learning
Employee Assistance Program (EAP)
Volunteer time off

Job summary

Nabla in Kuala Lumpur, Malaysia, seeks a Data Scientist to design universe studies and extrapolation setups for Retail Panels, document methodologies, ensure quality assurance, and monitor KPIs related to Panel Health. This role supports the China market and requires strong data analysis, statistical modeling, and production processes for PoS.

The position offers a hybrid work arrangement with ongoing trainings, personal and professional growth opportunities, and competitive compensation tied to

Qualifications

  • 2-3 years of relevant experience required.
  • Strong analytical and problem-solving skills.
  • Proficiency in statistical modeling and data analysis.
  • Experience with quality assurance and sample optimization.
  • Ability to document and explain complex methodologies clearly.
  • Familiarity with KPI monitoring and root cause analysis.

Responsibilities

  • Design and manage universe studies and project management.
  • Document methodologies for transparency and explain existing methods.
  • Review universe study results and insert changes in the POS Manager.
  • Conduct impact analysis of universe studies and design extrapolation setups.
  • Monitor KPIs and perform root cause analysis for panel health.
  • Define improvement points for panel health and address MDQC issues.
  • Support missing retailers modeling and handover to Stat Ops for maintenance.
  • Provide setup instructions for new country-channel setups.

Skills

Statistical modeling
Data analysis
KPI monitoring
Root cause analysis
Documentation
Communication
English & Chinese
Independent work
Teamwork
Quality assurance
PoS processes

Job description

Nabla in Kuala Lumpur, Malaysia, seeks a Data Scientist to design universe studies and extrapolation setups for Retail Panels, document methodologies, ensure quality assurance, and monitor KPIs related to Panel Health. This role supports the China market and requires strong data analysis, statistical modeling, and production processes for PoS.

The position offers a hybrid work arrangement with ongoing trainings, personal and professional growth opportunities, and competitive compensation tied to

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