Senior Data Scientist & Client Strategy Lead

NielsenIQ; Selangor; On-site; MYR 150,000 - 260,000; Full time

Job summary

NielsenIQ Malaysia is seeking an experienced Senior Data Scientist to own market-wide analytics initiatives for consumer goods and retail.

You will partner with country leaders and client teams, translate business questions into analytical strategies, and lead a small team of data scientists. The role emphasizes innovation with large data sets, strong communication, and impact across revenue and client satisfaction.

Qualifications

• Degree in Maths, Data Science, Statistics or related field with statistical analysis of large data sets.
• Minimum 5+ years experience in market research or a relevant field.
• Strong understanding of the CPG/FMCG industry and retail market impact.
• Familiarity with data visualization tools (Tableau, Spotfire) and programming languages (Python, R).
• Excellent communication skills and client-facing experience.

Responsibilities

• Own Data Science for a specific market/industry on new and existing products, services and design.
• Be a Data Science business partner for country/cluster leaders to achieve goals including revenue and EBITDA.
• Regularly meet with clients to translate business needs into analytical strategies and solutions.
• Support client and commercial teams with Data Science design questions.
• Lead the team and provide performance objectives; coach junior data scientists.

Skills

Leadership

Communication

Problem-solving

Data analysis

Python

R

Tableau

Spotfire

Statistics

English proficiency

Education

Degree in Maths/Data Science/Statistics or related field

Tools

Python

R

Tableau

Spotfire

Job description

NielsenIQ Malaysia is seeking an experienced Senior Data Scientist to own market-wide analytics initiatives for consumer goods and retail.

You will partner with country leaders and client teams, translate business questions into analytical strategies, and lead a small team of data scientists. The role emphasizes innovation with large data sets, strong communication, and impact across revenue and client satisfaction.