Data Scientist: Predictive Analytics & Visualization

Xiaomi Technology; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Xiaomi Technology is seeking a data science professional to support development, prototyping, and validation of predictive analytics and ML models under senior guidance.

You will conduct statistical analyses on large datasets, develop SQL queries and Python workflows for data pipelines, and translate model outcomes into clear visualizations for cross-functional decision-making. Collaboration across product and operations will standardize regional metrics.

Qualifications

• Degree in Data Science, Statistics, CS, Mathematics, or related quantitative field.
• Strong foundation in statistics, probability, regression, and basic ML concepts.
• Hands-on Python (Pandas/NumPy/Scikit-learn) and SQL required.
• Familiarity with ETL concepts and large-scale datasets preferred.
• Exposure to modern data visualization BI platforms (Power BI/Tableau/Quick BI).
• Support cross-functional teams in defining data science requirements and metrics.

Responsibilities

• Support development, prototyping, and validation of predictive analytics and ML models under senior guidance.
• Conduct statistical and exploratory data analysis on large datasets to validate hypotheses and find patterns.
• Develop optimized SQL queries and Python programs to build data pipelines for modeling.
• Translate model outcomes into intuitive visualizations and self-service analytics for decision-making.
• Assist in automating data quality monitoring, alerts, and metrics tracking for analytical inputs.
• Partner with product, operations, and engineering to standardize regional metrics across markets.

Skills

Statistics

Data analysis

Python programming

SQL proficiency

Communication

Education

Degree in Data Science

Quantitative field

Tools

Python

Pandas

NumPy

Scikit-learn

SQL

Power BI/Tableau/Quick BI

Job description

Xiaomi Technology is seeking a data science professional to support development, prototyping, and validation of predictive analytics and ML models under senior guidance.

You will conduct statistical analyses on large datasets, develop SQL queries and Python workflows for data pipelines, and translate model outcomes into clear visualizations for cross-functional decision-making. Collaboration across product and operations will standardize regional metrics.