Senior Data Scientist: End‑to‑End ML & Lakehouse Lead

Jobstreet Malaysia; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading recruitment platform is seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives. The ideal candidate will have 3–5 years of experience, strong skills in SQL and PySpark, and hands-on experience with Databricks. Responsibilities include building ETL pipelines, managing data workflows in Azure, and supporting data scientists with feature engineering and model development. This is an opportunity to make a significant business impact in a collaborative environment.

Qualifications

• 3–5 years of experience in data engineering or data science roles.
• Good understanding of machine learning concepts and ML pipelines.
• Ability to work with cloud services (Azure, AWS, GCP).

Responsibilities

• Build, maintain, and optimise ETL/ELT pipelines using SQL, PySpark, and Databricks.
• Manage and orchestrate data workflows within Azure Databricks.
• Support data scientists in feature engineering and model development.

Skills

Data engineering experience

Proficiency in SQL

Strong in PySpark

Hands-on experience with Databricks

Business acumen

Tools

Databricks

Azure Data Factory

ADLS

Job description

A leading recruitment platform is seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives. The ideal candidate will have 3–5 years of experience, strong skills in SQL and PySpark, and hands-on experience with Databricks. Responsibilities include building ETL pipelines, managing data workflows in Azure, and supporting data scientists with feature engineering and model development. This is an opportunity to make a significant business impact in a collaborative environment.