全职 Applied Data Scientist – Risk - Anomaly Detection 工作, 薪水 up to SGD 8,000, NEXBRIDGE RECRUITMENT PTE. LTD. 公司招聘中 - Ricebowl

Job 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 forward-deployed 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 agency engagements

Job Requirements

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

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

Comfortable assessing model trade-offs and explaining them clearly to non-technical stakeholders

Familiarity with containers, CI/CD or other DevOps / ModelOps practices would be advantageous

Able to work independently in an ambiguous, fast-moving environment and collaborate closely with engineers, product teams and domain experts

Strong sense of ownership for turning analysis into something that is used in an operational workflow

Interested candidates are invited to apply via the “Apply Now” button.

We regret that only shortlisted candidates will be notified.

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Nexbridge Recruitment Pte Ltd

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EA Personnel: Ching Ning Xin

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