Senior Data Scientist

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

Jora Malaysia will close on 16th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
• Enable your team to focus on innovation and contribute to the company's objectives.
• Coach and develop junior data scientists.
• Lead the team and provide performance objectives.
• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
• Work experience on eCommerce, webscraping solutions, consumer sourced data solutions is preferred
• Passionate about innovation and technology
• Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
• Innovative mindset, creativity, thinking out-of-the-box.
• Good ability to effectively convey complex concepts to non-experts.
• Strong Problem-Solving skills
• Intellectual curiosity and persistence to find answers to questions.
• Great collaborative and interpersonal skills to communicate at all levels.
• Ability to set priorities.
• Good leadership skills.
• Business acumen, consultative skills and empathy for clients.
• Great command of written and spoken English
• Eager to continuously learn and adapt to changing technologies and tools.
• Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.
• Good people management skills and coaching.
• Analytical and Technical skills:
  • Solid understanding of Statistics
  • Strong aptitude for data analysis.
  • Solid critical/ logical thinking.
  • Business acumen, finance and budgeting knowledge
  • Knowledge / familiarity on data visualization tools (e.g. Spotfire, Tableau, etc) and programming languages (Python, R), preferred.