Data Scientist - Production ML & Anomaly Detection

USER EXPERIENCE RESEARCHERS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

USER EXPERIENCE RESEARCHERS PTE. LTD. is seeking a data scientist to analyse large operational datasets, detect anomalies, and build ML models for production use.

You will design pipelines, feature engineering, and evaluation strategies, contributing to scalable analytics across projects. The role requires translating business problems into analytical approaches, collaborating with engineers and domain experts, and ensuring outputs integrate into workflows.

Qualifications

• 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, ML and model evaluation.
• Experience with anomaly detection, classification, clustering or risk modelling.
• Experience building data pipelines and taking models into production.

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.
• Develop production-ready model or scoring pipelines and integrate them with applications built by the delivery teams.
• Monitor model performance, data quality and data drift after deployment.
• Conduct exploratory analysis to identify new opportunities for workflow redesign and automation.
• Support the use of LLMs and other AI techniques alongside traditional statistical and machine-learning approaches where appropriate.
• Develop reusable analytical approaches and components that can be applied across multiple project engagements.

Skills

Python

SQL

Git

APIs

Model evaluation

Data pipelines

DevOps/ModelOps

Clarifying stakeholder needs

Problem translation

Education

Data Science or related degree

Tools

Git

APIs

CI/CD

Job description

USER EXPERIENCE RESEARCHERS PTE. LTD. is seeking a data scientist to analyse large operational datasets, detect anomalies, and build ML models for production use.

You will design pipelines, feature engineering, and evaluation strategies, contributing to scalable analytics across projects. The role requires translating business problems into analytical approaches, collaborating with engineers and domain experts, and ensuring outputs integrate into workflows.