Data Scientist - TEKsystems (Allegis Group Singapore Pte Ltd)

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.

You'll combine automation engineering, statistical rigor, and data quality assurance to improve user experiences across multiple digital products.

• 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.

• 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 advance statistical methods like Bayesian analysis , survival analysis , and exposure in ML/LLM systems .

• 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.

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