Applied Data Scientist: ML, Pipelines & Production Impact

User Experience Researchers Pte Ltd

Singapore

Vor Ort

SGD 90.000 - 150.000

Vollzeit

vor 39 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

User Experience Researchers Pte Ltd is seeking a data science professional to analyze large operational datasets, identify patterns, anomalies and risk indicators, and develop anomaly detection and clustering approaches. You will build production-ready models and pipelines, evaluate model performance, and collaborate with domain experts to embed analytical outputs into workflows.

Experience with Python, SQL, and data pipelines is essential.

Qualifikationen

  • Experience handling large, messy datasets.
  • Experience in applied data science, including feature engineering and model evaluation.
  • Experience with anomaly detection, clustering or risk modelling.
  • Ability to translate business problems into analytical approaches.
  • Strong Python and SQL programming skills; familiarity with Git and APIs.

Aufgaben

  • 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.

Kenntnisse

Python
SQL
Git
APIs

Ausbildung

Bachelor's degree in Data Science / Computer Science / Statistics / Machine Learning / Data Analytics / Information Systems

Tools

Git
APIs
Automated testing

Jobbeschreibung

User Experience Researchers Pte Ltd is seeking a data science professional to analyze large operational datasets, identify patterns, anomalies and risk indicators, and develop anomaly detection and clustering approaches. You will build production-ready models and pipelines, evaluate model performance, and collaborate with domain experts to embed analytical outputs into workflows.

Experience with Python, SQL, and data pipelines is essential.

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