Data Scientist

Location: Kuala-Lumpur, Malaysia

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Thales has been present since 1980, contributing to the industrial success of the country with advanced technologies, services & solutions in the aerospace, defence, security & transportation markets. Aligned with Malaysia’s goal of strengthening local industrial capabilities, Thales, together with its local joint venture actively engaged in designing, building and implementing leading-edge solutions that help protect the nation’s citizens and infrastructure.

Responsibilities:

•    Develop and deploy predictive and prescriptive models using machine learning techniques.
•    Design scalable data pipelines leveraging tools like BigQuery, Talend, and dbt.
•    Utilize Iceberg and Trino for processing and analyzing large-scale datasets.
•    Collaborate with cross-functional teams to identify business challenges and design solutions.
•    Interpret model results and communicate insights to technical and non-technical stakeholders.
•    Drive innovation by identifying trends and patterns in data to support strategic initiatives.

Requirements:

•    Strong programming skills in Python or R for data analysis and modeling.
•    Expertise in machine learning techniques and statistical analysis.
•    Hands-on experience with BigQuery, Talend, dbt, and Iceberg.
•    Familiarity with GCP Pub/Sub for data streaming and processing.
•    Excellent communication skills to explain technical concepts clearly. 

•    Strong experiences in BigQuery, Trino, Iceberg, Talend, Pub/Sub, dbt and Anaplan.
 

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