Data Scientist
Description
Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Scientist
Responsibilities:
- Analyse large operational datasets to identify patterns, anomalies, outliers and risk indicators
- Develop approaches for anomaly detection, clustering, segmentation and risk scoring
- Build supervised machine-learning models where historical outcomes or labelled cases are available; Perform feature engineering using structured and unstructured data.
- Design evaluation approaches to assess model performance, including precision, recall, false positives and false negatives
- Work with domain experts to determine how analytical outputs should be incorporated into operational workflows
- Build and maintain data-processing and feature pipelines to support modelling at scale
Requirements:
- Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics or Information Systems with experience working with large, messy operational or transactional datasets
- Experience in applied data science, including statistics, feature engineering, machine learning and model evaluation
- Experience with techniques such as anomaly detection, classification, clustering or risk modelling
- Experience building data pipelines and taking models beyond experimentation into production environments
- Strong proficiency in Python and SQL; Able to translate a business or operational problem into an analytical problem and determine the appropriate modelling approach
- Familiarity with software engineering practices including Git, automated testing and APIs
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Interested applicants can also email CV at harry@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Scientist”
Only shortlisted candidates will be notified.
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EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454
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