Job Posting Text
We are looking for a Data Scientist to join a growing team within a global technology organisation. 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 advance 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
