Lead Data Scientist: Classical ML & Statistical Modeling

Randstad Malaysia; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Randstad Malaysia is looking for a Lead Data Scientist to drive analytics using traditional machine learning, statistical modeling, and predictive analytics. You will own the full DS lifecycle—from feature engineering to deployment—and mentor mid-level data scientists while communicating data-driven insights to executives.

The role requires 5+ years of experience, strong Python or R, and expert SQL skills, with a focus on maintaining rigor and delivering production-ready solutions.

Qualifications

• 5+ years of professional data science experience in traditional ML models.
• Strong Python or R and SQL for data prep and querying.
• Deep knowledge of supervised/unsupervised learning, regression, classification, and time-series.

Responsibilities

• Lead model development using classical ML methods and forecasting.
• Own end-to-end DS pipeline from data extraction to deployment.
• Mentor junior data scientists and communicate insights to stakeholders.

Skills

Python

R

SQL

Machine Learning

Statistics

A/B Testing

Pandas

NumPy

scikit-learn

LightGBM

XGBoost

Time-Series

Clustering

Docker

REST APIs

Education

Bachelor's or Master's degree

Tools

Docker

Job description

Randstad Malaysia is looking for a Lead Data Scientist to drive analytics using traditional machine learning, statistical modeling, and predictive analytics. You will own the full DS lifecycle—from feature engineering to deployment—and mentor mid-level data scientists while communicating data-driven insights to executives.

The role requires 5+ years of experience, strong Python or R, and expert SQL skills, with a focus on maintaining rigor and delivering production-ready solutions.