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Open nowPosted today

Data Scientist

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

Pay
SGD 6,000 – SGD 9,500 a month
Where
Singapore
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Your applicationOpen nowData ScientistOPTIMUM SOLUTIONS (SINGAPORE) PTE LTD · Singapore

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted today

The posting

Key Responsibilities

  • Methodology and Threshold Review: Review and recalibrate existing model methodologies and thresholds, including back-testing, impact assessments, analytical specifications, validation approaches, gap analyses and documentation.
  • Risk Model Enhancement: Translate business and operational requirements into enhancements to risk scenarios, indicators, features, thresholds and analytical logic.
  • Technical Dashboard Development: Build and enhance dashboards to monitor model performance, including precision, recall, data drift and concept drift. Develop alerting logic, visualisations and performance measures that account for delayed or incomplete outcomes.
  • Risk Assessment and Analytical Evaluation: Assess business processes, operational workflows and potential risks. Identify relevant patterns and recommend improvements to existing analytical models and detection frameworks.
  • Governance and Stakeholder Engagement: Maintain methodology documentation and change records. Communicate analytical findings, trade-offs, dependencies and recommendations to business stakeholders, technical teams and management.
  • Documentation and Knowledge Transfer: Develop reproducible analytical code, maintain technical documentation and provide knowledge transfer to support ongoing model enhancements and operations.

Requirements & Qualifications

  • Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
  • Experience: Minimum 3 years of relevant hands-on experience in data science, advanced analytics, model validation, risk analytics or related analytical functions.
  • Strong proficiency in Python and SQL for data extraction, transformation, exploratory analysis and reproducible analytical workflows.
  • Hands-on experience developing, validating or enhancing predictive models, risk-scoring models or anomaly-detection models.
  • Experience in feature engineering, model back-testing, threshold calibration and performance evaluation using metrics such as precision, recall and related trade-offs.
  • Ability to translate business or operational requirements into analytical specifications, model logic, indicators, rules and measurable risk hypotheses.
  • Experience working with complex, large-scale datasets, including data quality assessment, data lineage, anomaly investigation and documentation of analytical assumptions.
  • Experience developing dashboards, analytical reports or monitoring solutions to evaluate model performance and support decision-making.
  • Strong analytical, problem-solving, documentation and stakeholder communication skills.

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