About The Team
At Shopee Thailand, the BI Data Science team partners closely with business stakeholders to solve complex, real-world problems using data. In this role, you will work across a broad range of analytical and data science initiatives, including promotion targeting, demand and logistics forecasting, operational analytics/modeling, and developing LLM solutions. You will apply statistical thinking, data modeling, and business judgment to generate insights and build practical solutions that support decision-making at scale.
Job Description
- Partner directly with business stakeholders across Shopee Thailand to solve analytical problems and inform decision-making.
- Design and analyze experiments (A/B tests), including hypothesis formulation, metric definition, impact evaluation, and interpretation.
- Build and apply classical data science and statistical models (e.g. regression, tree-based models, forecasting) to support business use cases such as promotions, marketing, logistics, and operations.
- Deliver clear, actionable insights and recommendations through presentations and discussions with stakeholders.
- Develop lightweight data science solutions, including batch inference and API-based model usage (e.g. LLM APIs), where appropriate.
- Manage multiple projects simultaneously in a fast-paced, dynamic environment.
Requirements
- Bachelor's or Master's degree in Statistics, Data Science, Computer Engineering, Computer Science, Econometrics, or a related quantitative field.
- 2-5 years of experience in data analytics, data science, or quantitative modeling roles.
- Self-motivated with strong analytical thinking and business acumen.
- Strong foundation in probability, statistics, machine learning, and AI.
- Proficiency in SQL and Python, with solid coding skills for data manipulation, modeling, and deployment.
- Experience with experimentation and A/B testing frameworks.
- Excellent English communication skills, with the ability to independently present and discuss insights with stakeholders.
- Strong collaborator who can manage multiple priorities in a fast-paced environment.
- Experience in e-commerce, marketing data science, forecasting, or delivering LLM-driven solutions is a plus.
