Data Scientist, Operations: Anomaly Detection & ML

User Experience Researchers Pte Ltd (Singapore); Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

User Experience Researchers Pte Ltd (Singapore) seeks a data science specialist to analyse large operational data, build production ML models, and deliver analytics that drive operational workflows. You will engineer features, implement pipelines, and validate models with domain experts in a fast-moving environment.

Responsibilities include developing anomaly detection, clustering and risk scoring, while ensuring data quality and explainability for non-technical stakeholders.

Qualifications

• Education: Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics or Information Systems preferred.
• Experience with large, messy operational or transactional datasets.
• Applied data science including statistics, feature engineering, machine learning and model evaluation.
• Techniques such as anomaly detection, classification, clustering or risk modelling.
• Building data pipelines and taking models into production environments.

Responsibilities

• Analyse large operational datasets to identify patterns, anomalies and risk indicators.
• Develop anomaly detection, clustering, segmentation and risk scoring approaches.
• Build supervised models where historical outcomes are available.
• Perform feature engineering using structured and unstructured data.
• Design evaluation approaches for model performance (precision, recall, etc).
• Collaborate with domain experts to embed analytical outputs in workflows.
• Build and maintain data-processing and feature pipelines at scale.
• Develop production-ready model/ scoring pipelines integrated with apps.
• Monitor model performance, data quality and drift post deployment.
• Conduct exploratory analysis to spot opportunities for workflow automation.
• Support use of LLMs and other AI techniques alongside traditional methods.
• Create reusable analytical approaches for multiple projects.

Skills

Anomaly detection

Clustering

Feature engineering

Model evaluation

Data analysis

Workflow automation

Stakeholder communication

Education

Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics or Information Systems

Tools

Python

SQL

Git

APIs

Data pipelines

CI/CD

Job description

User Experience Researchers Pte Ltd (Singapore) seeks a data science specialist to analyse large operational data, build production ML models, and deliver analytics that drive operational workflows. You will engineer features, implement pipelines, and validate models with domain experts in a fast-moving environment.

Responsibilities include developing anomaly detection, clustering and risk scoring, while ensuring data quality and explainability for non-technical stakeholders.