Data Scientist

Allegis Group Singapore Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global technology organization is seeking a Data Scientist to enhance data integrity for large-scale systems. The position involves developing predictive models and conducting statistical analyses to improve user experience. Ideal candidates will excel in Python and SQL, possess a strong foundation in statistics, and have experience with self-serve tools and dashboards. Join a high-impact team dedicated to delivering quality products used by millions worldwide.

Benefits

Opportunity to work on high-impact projects

Collaboration with cross-functional teams

Qualifications

• Strong foundation in statistics and data quality principles.
• Experience building self-serve tools or dashboards.
• Ability to translate complex insights into actionable recommendations.

Responsibilities

• Develop and refine predictive models to address quality issues.
• Define key quality metrics and ensure data integrity.
• Conduct deep statistical analysis across large datasets.

Skills

Python (Pandas, NumPy, Scikit-learn)

SQL

Statistical analysis

Communication skills

Data governance

Machine Learning

Tools

Flask

Streamlit

Job description

We are looking for a Data Scientist to join a growing team within a global technology organization. Join a high-impact team within a global technology organization. This role focuses on ensuring the integrity and reliability of data that powers large-scale search and recommendation systems used by millions worldwide. You'll combine automation engineering, statistical rigor, and data quality assurance to improve user experiences across multiple digital products.

Key Responsibilities

• Develop and refine predictive models to proactively identify and prevent quality issues.
• Define and track key quality metrics and KPIs to ensure data integrity and system performance.
• Perform deep statistical analysis to uncover trends, detect anomalies, and validate rating accuracy across large datasets.
• Build interactive dashboards and reports that make insights clear and actionable for stakeholders.
• Design and deploy self-serve tools that empower teams to run audits and access data independently.
• Partner with cross-functional teams to diagnose quality gaps and implement corrective measures.
• Conduct root cause analysis to resolve systemic data issues and improve reliability.
• Innovate and contribute to new QA processes and methodologies that raise the bar for data governance.
• Stay ahead of the curve by exploring emerging trends in data science, automation, and quality assurance.

Requirements

• Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data analysis and automation.
• Strong foundation in statistics and data quality principles not limited to sampling, hypothesis testing, confidence intervals, risk analysis.
• Experience building self-serve tools or dashboards using frameworks like Flask or Streamlit.
• Familiarity with data governance, QA metrics, and risk management in data-driven systems.
• Develop & implement ML models to predict/prevent quality issues.
• Excellent communication skills and ability to translate complex insights into actionable recommendations.
• Bonus: Exposure to other advanced statistical methods like Bayesian analysis, survival analysis, and exposure in ML/LLM systems.

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.

EA Registration No.: YAP JUN WEI, R25126752

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544