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1,364

Data Scientist jobs in Singapore

Data Scientist

Tek Systems

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago
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Information Technology - Data Scientist (Data Science Track)

SINGAPORE AIRLINES LIMITED

Singapore
On-site
SGD 100,000 - 125,000
30+ days ago

Data Scientist

99 PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
30+ days ago

Data Scientist – Agentic RAG & LLM (Databricks / Azure / AWS) - Australia & New Zealand

Rhino Partners

Singapore
On-site
SGD 129,000 - 181,000
30+ days ago

Data Scientist (Data Practice)

FPT ASIA PACIFIC PTE. LTD.

Singapore
On-site
SGD 60,000 - 90,000
30+ days ago
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Data Scientist - A25205

Activate Interactive

Singapore
On-site
SGD 100,000 - 125,000
30+ days ago

Data Scientist - A25205

Activate Interactive Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Senior Data Scientist (Business & Transaction Platform)

Grab

Singapore
On-site
SGD 80,000 - 110,000
30+ days ago
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Data Scientist

Changi Airport Group

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago

Data Scientist,Cyber SpecialOps-R&D

NCS PTE. LTD.

Singapore
On-site
SGD 60,000 - 100,000
30+ days ago

Senior Data Scientist (Safety)

Grab

Singapore
On-site
SGD 90,000 - 120,000
30+ days ago

Senior Data Scientist

Singtel Group

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago

Data Scientist

Rezolve Ai

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

Data Scientist

Medium

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Data Scientist

Razer

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

Senior Data Scientist (Video / Audio)

Razer

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago

Cybersecurity Data Scientist - Detect & Defend at Scale

Activate Interactive Pte Ltd

Singapore
On-site
SGD 84,000 - 110,000
30+ days ago

Data Scientist: Privacy-Tech ML for Enterprise

Kyndryl

Singapore
On-site
SGD 70,000 - 90,000
30 days ago

Data scientist (Data Practice)

UNISON CONSULTING PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

Data scientist (Data Practice)

RISKDATA CONSULTING PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago

Data scientist (Data Practice)

REGTECH INSIGHT PTE. LTD.

Singapore
On-site
SGD 100,000 - 125,000
30+ days ago

Data scientist (Data Practice)

UARROW PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

Senior Data Scientist: Lead AI Solutions & Global Impact

QuantumBlack, AI by McKinsey

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago

Senior Data Scientist: AI & LLMs Solutions Lead

Binance

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago

Principal Data Analyst/Data Scientist [DSAD]

WORKFORCE SINGAPORE AGENCY

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago

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Data Scientist
Tek Systems
Singapore
On-site
SGD 70,000 - 100,000
Full time
30+ days ago

Job summary

A global technology organization in Singapore is seeking a Data Scientist to enhance data quality and integrity for search and machine learning systems. The ideal candidate should have strong analytical skills, be proficient in Python and SQL, and possess experience with data visualization tools. This role offers the chance to work with a high-impact team and contribute to projects used by millions globally.

Qualifications

  • Strong analytical and statistical skills with experience in data quality management or data science.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data querying and analysis.
  • Experience with data visualization tools.

Responsibilities

  • Design and implement data quality metrics and audit frameworks.
  • Conduct statistical analysis to identify anomalies.
  • Build automation tools and self-serve dashboards.

Skills

Analytical skills
Statistical skills
Python proficiency
SQL proficiency
Data visualization
Quality assurance knowledge
Communication skills

Tools

Pandas
NumPy
Scikit-learn
Tableau
Power BI
Job description

We are looking for a Data Scientist to join a growing team within a global technology organisation. This role focuses on using data science and quality management techniques to improve the accuracy and integrity of large-scale search and machine learning recommendation systems impacting millions of users world-wide.

The ideal candidate is passionate about data quality, risk assessment, and automation, and enjoys building tools that make processes smarter and more efficient.

Key Responsibilities
  • Design and implement data quality metrics, sampling methods, and audit frameworks.
  • Conduct statistical analysis to identify anomalies and ensure rating accuracy.
  • Build automation tools and self-serve dashboards to streamline quality checks.
  • Collaborate closely with global operations and data engineering teams.
  • Develop Python-based solutions to process, evaluate, and improve data reliability.
Requirements
  • Strong analytical and statistical skills, with experience in data quality management or data science.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data querying and analysis.
  • Experience with data visualization (Tableau, Power BI, or similar).
  • Knowledge of quality assurance principles and risk identification.
  • Excellent communication skills and a strong sense of ownership.
  • Experience developing self-serve tools or web applications using Python frameworks (e.g. Flask, Streamlit, Spark) is preferred.
  • Exposure to advanced statistical models (Bayesian analysis, survival analysis, etc.) and advanced machine learning algorithms (e.g., decision trees, clustering, time-series forecasting) is an advantage.
What You’ll Gain
  • Opportunity to contribute to the quality and accuracy of products used by millions of users worldwide.
  • Join a fast-moving, high-impact team working across data science, quality operations, and automation engineering.
  • Work with cross-functional partners across data, search, and content domains.

We regret to inform that only shortlisted candidates will be notified.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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