Data Scientist (Fresh Graduate)

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

• 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.