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Open nowPosted today

Junior Data Scientist (Python + Sql)

MyCareersFuture93,320 open roles

Pay
SGD 7,800 – SGD 8,600 a month
Where
East, Singapore
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Your applicationOpen nowJunior Data Scientist (Python + Sql)MyCareersFuture · East, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 7 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.1%7 days
  4. 15.5%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 7 days open

The posting

Our client is seeking a Data Scientist to support multiple product squads in redesigning operational workflows and developing AI-enabled solutions. The role focuses on analysing large operational datasets, identifying anomalies and risk patterns, and building machine-learning models to improve decision-making and operational efficiency.

Responsibilities

  • Analyse large operational datasets to identify patterns, anomalies, outliers and potential risk indicators.
  • Develop machine-learning models for anomaly detection, clustering, classification, segmentation and risk scoring.
  • Perform feature engineering using structured and unstructured data, and evaluate model performance using appropriate metrics.
  • Build and maintain scalable data pipelines and deploy production-ready models integrated with applications.
  • Monitor model performance, data quality and data drift after deployment.
  • Collaborate with engineers, product teams and domain experts to translate operational challenges into practical analytical solutions.
  • Apply LLMs and other AI techniques alongside traditional machine-learning approaches where appropriate.
  • Develop reusable analytical solutions and components for application across multiple projects.

Requirements

  • At least 2 years of relevant experience in data science or related field
  • Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics, Information Systems or a related field.
  • Strong proficiency in Python and SQL, with experience analysing large, complex operational or transactional datasets.
  • Hands-on experience in applied data science, including statistical analysis, feature engineering, machine learning and model evaluation.
  • Experience with anomaly detection, classification, clustering, risk modelling or similar techniques.
  • Experience building data pipelines and deploying models into production environments.
  • Familiarity with software engineering practices, including Git, automated testing and APIs
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