(Senior) Data Scientist - BI & Planning, Shopee
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against (Senior) Data Scientist - BI & Planning, Shopee at Shopee. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
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.
- Build and implement predictive, causal machine learning and GenAI models, to understand customer behaviors, optimize operational efficiency, and perform forecasting exercises
- Design and execute experiments or observational studies to evaluate marketing effectiveness and transform ambiguous business questions into actionable growth strategies
- Partner with cross-functional teams to translate business requirements into technical solutions, define key successful metrics, and provide technical mentorship
- Manage and refine existing codebases and ETL pipelines using GitLab and internal CI/CD/orchestration tools to ensure scalable and automated data and model deployment
Requirements:
- Advanced degree in a quantitative field with proven experience in applying statistical and machine learning techniques to real-world business problems
- 3+ years of Python and SQL proficiency, with a proven track record in model fine-tuning, data debugging, and utilizing large-scale distributed frameworks like Spark or Trino
- Strong problem-solving ability to independently prioritize tasks in fast-paced environments and the communication skills to translate complex analytical concepts for both technical and non-technical stakeholders
- Experience with ecommerce platforms, digital marketing analytics, and familiarity with industry-specific metrics and challenges is a plus.
- Experience in Causal Inference studies
Ready to apply?
This job is active. Apply now to get in early.