Responsibilities:
- Support the development, prototyping, and validation of predictive analytics and machine learning models under the guidance of senior data scientists.
- Conduct statistical analysis and exploratory data analysis on large structured and unstructured datasets to validate hypotheses, identify patterns, and uncover business opportunities.
- Develop optimized SQL queries and Python programs to extract, clean, feature-engineer, and prepare data pipelines for advanced modeling and analysis.
- Translate complex model outcomes and statistical findings into intuitive data visualizations and self-service analytical tools to support cross-functional decision-making.
- Assist in designing and automating data quality monitoring, alerting workflows, and metrics tracking to ensure high-fidelity inputs for analytical models.
- Partner with product, operations, and engineering teams to define data science project requirements, standardizing core performance metrics across regional markets.
Requirements:
- Degree in Data Science, Statistics, Computer Science, Mathematics, or a related highly quantitative discipline.
- Strong foundation in statistics, probability, regression analysis and basic machine learning concepts.
- Hands-on proficiency in Python (specifically libraries such as Pandas, NumPy, Scikit-learn) and SQL is required.
- Familiarity with data engineering concepts, ETL workflows, and working with large-scale datasets is preferred.
- Exposure to modern data visualization and BI platforms (e.g., Power BI, Tableau, Quick BI) to convey data insights effectively.
- Support product, operations, and engineering teams in defining data science requirements and standardizing key business metrics across regional markets.
To apply for this job please visit en-sg.whatjobs.com.
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