Data Scientist (12-Month Contract) | Hybrid

Experian; Selangor; Hybrid; MYR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Hybrid work arrangement

Discretionary bonus

Equal opportunities employer

Zusammenfassung

Experian in Selangor, Malaysia, is looking for an intermediate Data Scientist to join our Data Science team on a 12-month contract. You’ll apply statistical analysis, experimentation and machine learning to real business problems, working in a multidisciplinary scrum team and reporting to the Data Science and Engineering Manager.

You will analyse complex datasets, build and evaluate models, design experiments and communicate findings clearly to technical and non-technical stakeholders,

Qualifikationen

• 5+ years applying data science and ML to business or product challenges.
• Proficiency in Python and SQL for large datasets.
• Strong knowledge of statistics, experimentation, and ML.
• Experience with cloud data platforms such as Snowflake.
• Excellent communication and collaboration across teams.

Aufgaben

• Analyse complex datasets to uncover patterns informing decisions.
• Develop and evaluate statistical and ML models with feature engineering.
• Design experiments including A/B testing and regression analysis.
• Collaborate with cross-functional teams to translate requirements into analytics.
• Document methodologies and communicate findings clearly to technical and non-technical audiences.

Kenntnisse

Python

SQL

Statistics

Machine Learning

Data Analysis

Communication

Tools

Snowflake

Pandas

scikit-learn

Jobbeschreibung

Experian in Selangor, Malaysia, is looking for an intermediate Data Scientist to join our Data Science team on a 12-month contract. You’ll apply statistical analysis, experimentation and machine learning to real business problems, working in a multidisciplinary scrum team and reporting to the Data Science and Engineering Manager.

You will analyse complex datasets, build and evaluate models, design experiments and communicate findings clearly to technical and non-technical stakeholders,