Data Scientist — Predictive ML, Time Series & Production

Randstad

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

5 days ago
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Job summary

Randstad Malaysia is partnering with a leading life insurer undergoing a digital transformation to hire a data scientist who can build traditional ML models to improve day-to-day operations.

You will design end-to-end models, perform time-series forecasting, anomaly detection and classification, and collaborate with technical leads and executives to translate business questions into quantitative solutions using Python and SQL, with frameworks like TensorFlow, PyTorch and XGBoost for production

Qualifications

  • 4+ years of professional experience as a Data Scientist.
  • Strong business acumen with ability to translate business requirements into technical problems.

Responsibilities

  • End-to-End Model Development: design, build, evaluate, and deploy predictive models.
  • Predictive & Time Series Modeling to forecast business outcomes.
  • Anomaly Detection & Classification to identify operational issues and refine workflows.
  • Pipeline & Feature Engineering using Python and SQL on structured and unstructured data.
  • Framework Implementation with TensorFlow, PyTorch, and XGBoost for production models.
  • Stakeholder Collaboration to present findings to technical leads and executives.

Skills

Predictive Analytics
Time Series Analysis
Classification
Unsupervised Learning
Python
SQL

Education

Bachelor’s or Master’s degree in Data Science

Tools

TensorFlow
PyTorch
XGBoost
Scikit-Learn

Job description

Randstad Malaysia is partnering with a leading life insurer undergoing a digital transformation to hire a data scientist who can build traditional ML models to improve day-to-day operations.

You will design end-to-end models, perform time-series forecasting, anomaly detection and classification, and collaborate with technical leads and executives to translate business questions into quantitative solutions using Python and SQL, with frameworks like TensorFlow, PyTorch and XGBoost for production

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