Contract Data Scientist — Marketing ML & Analytics

Experian; Malaysia; Hybrid; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work

Paid leave

People-first culture

Job summary

Experian is seeking an experienced Data Scientist for a 12-month contract in Malaysia. You’ll work in the Data Science team on data products and analytics initiatives, translating data into actionable business insights and measurable outcomes.

You will collaborate with Product, Data Engineering and stakeholders to build, validate and deploy models, experiments and AI solutions while reporting to the Data Science and Engineering Manager.

Qualifications

• 5+ years applying data science and ML techniques to business or product challenges in marketing analytics or related domains.
• Proficiency in Python and SQL with libraries like pandas and scikit-learn; experience on Snowflake or similar cloud platforms.
• Knowledge of statistics, experimentation, model validation and evaluation; deep-learning experience is a plus.
• Experience translating analytical solutions into repeatable products, capabilities or processes with monitoring.
• Familiarity with AI and LLM concepts such as embeddings, RAG, vector search or prompt engineering is preferred.

Responsibilities

• Analyse complex datasets to identify patterns and insights for product and business decisions.
• Develop and evaluate statistical and ML models, including data prep, feature engineering, and validation.
• Design and analyse experiments (regression, hypothesis testing, A/B) and monitor performance.
• Contribute to Mosaic, Audience Taxonomy, Spend Analytics and AI initiatives as relevant.
• Collaborate with cross-functional teams to translate requirements into reliable analytical solutions and clearly communicate findings.

Skills

Python

SQL

Statistics

Experimentation

Machine Learning

Tools

Snowflake

Job description

Experian is seeking an experienced Data Scientist for a 12-month contract in Malaysia. You’ll work in the Data Science team on data products and analytics initiatives, translating data into actionable business insights and measurable outcomes.

You will collaborate with Product, Data Engineering and stakeholders to build, validate and deploy models, experiments and AI solutions while reporting to the Data Science and Engineering Manager.