Data Scientist/Senior Data Scientist (Shopee)

atShopee (Thailand) Co., Ltd.
Department Business Intelligence and Data Analytics
LevelExperienced (Individual Contributor)
LocationThailand - Bangkok

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.


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.
Experience required
  • 2 years
Salary
  • Negotiable
Job function
  • Analyst
  • IT / Programming
Job type
  • Full-time

Company overview

Size:2000-5000 employees
Industry:Information Technology
Location:Bangkok
Website:careers.shopee.co.th
Founded in:2015
Ranking:4.5/5

Shopee makes online shopping easy, secure and fuss-free. Shopee is a mobile focused modern marketplace where everyone can browse, shop and sell products of all kinds anytime and anywhere. Shopee is tailored for Southeast-Asian markets, combining the easiness of consumer driven ma ...

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Why join us:

Shopee is rapidly online shopping tech company in Thailand and other South East Asian markets. We do innovate on many fronts in online shopping, providing an unique opportunity to learn about ecommerce technologies and trends. We have a multinational and dynamic workplace with gr ...

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Head office: Shopee
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Benefits

  • Professional development
  • Dental Insurance
  • Five-day work week
  • Flexible working hours
  • Life Insurance
  • Health Insurance
  • Maternity leave
  • Social Security
  • Performance bonus
  • Provident fund
  • Learning & Development Opportunities
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