Mid-level Data Scientist (Mandarin Speaking)

Nabla; Kuala Lumpur; On-site; MYR 90,000 - 140,000; Full time

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

Job Description

The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators (KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes as well as strong production system processes for PoS. This role supports the China market.

Key Activities

• Methodology and Universe Studies: Design and manage universe studies, including project management.
• Document methodologies for transparency and provide clear explanations of existing methods.
• Review results of universe studies and insert changes in the POS Manager.
• Conduct impact analysis of universe studies.
• Design and simulate extrapolation setups for new panels and sign off on the designs.
• Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.
• Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).
• Model missing retailers completely outside the system and maintain complex models.
• Support the setup of modeling missing retailers in the system and hand over to Stat Ops for ongoing maintenance and execution.
• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.
• Resolve Level 2 methodology clarification issues.
• Monitor KPIs and conduct root cause analysis (RCA) for panel health, focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.
• Define and specify improvement points for panel health.

Qualifications

• At least 2-3 years of relevant experience.
• 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.
• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Knowledge of production processes for PoS.
• Extensive experience working in an international environment.
• Strong quality orientation and solution driven.
• Strong command of English and Chinese language.
• Extensive experience within Panel Quality value chain.
• High knowledge about all PoS (RMS) value chains.

Benefits

• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Great compensation linked to individual performance and company results.
• Hybrid work.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee Assistance Program (EAP).

This role is ideal for individuals with a keen eye for detail and a passion for data science and quality assurance. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position.