data scientist - Business IntelligenceShopee

Job Description :
Lead feature strategy for ML and LLM projects
Work closely with business teams (Ops, SPX, Risk, SCommerce) to translate messy operational processes into structured model inputs
Own EDA, outlier detection, feature construction, and normalizations
Design robust logic to handle entity overlaps
Evaluate data leakage, overfitting risks, and data quality issues before ML engineers build pipelines
Partner with ML engineers to hand off model-ready datasets with clear logic
Contribute to experimentation plans and model evaluation metrics
Support knowledge documentation and AI governance compliance
Requirements :
2-5 years experience in data science, machine learning, or quantitative analytics
Strong background in statistics, feature engineering, anomaly detection, and time series
Proficient in Python, SQL, Jupyter (bonus: Spark, Hive, PyTorch, or XGBoost)
Able to work in ambiguous, high-stakes environments (logistics, fraud, finance, risk, etc.)
Strong communicator - can explain why a feature matters to business users and engineers
Familiarity with ML lifecycle, but comfortable focusing on upstream data/feature quality
About the Team :Shopee PH is scaling intelligent systems across Operations, Commercial Team, SPX, Scommerce, etc. As we expand ML deployment in critical domains, we need an experienced Data Scientist who understands both statistical modeling and real-world operational nuance. This role is ideal for someone who thrives in ambiguity, understands the difference between data and domain truth, and is passionate about driving measurable impact through better feature engineering, normalization logic, and experiment design.
Shopee

Manila City, Metro Manila
Permanent
Full-time