Data Engineer

Key Responsibilities

• Build end-to-end agentic systems that autonomously identify sales opportunities, analyze data, and generate actionable recommendations.
• Design and run A/B tests and quasi-experiments to measure the impact of agents on revenue and ad spend.
• Develop core features for internal agent platforms, including evaluation frameworks, tool orchestration, and safety controls.
• Build and maintain data pipelines and decision intelligence blocks (segmentation, uplift) using distributed computing frameworks such as Spark.
• Collaborate with business stakeholders to translate sales workflows into technical solutions and communicate causal impact clearly.

• 4+ years of experience in data science, analytics, or machine learning with a track record of shipping end-to-end solutions.
• Proficient in Python, SQL, and distributed data processing frameworks such as Spark.
• Familiarity with agentic design patterns (tool use, orchestration, RAG) and evaluating agent behavior.
• Strong expertise in designing and analyzing controlled experiments (A/B tests) and quasi-experimental methods.
• Solid software engineering fundamentals, including writing maintainable code and working with CI/CD practices.
• Ability to operate in ambiguity and influence decisions across technical and non-technical stakeholders.

Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to apply
88(@) or click apply!

We regret to inform that only shortlisted candidates would be notified

EA License No: 04C3537

EA Personnel No: R

EA Personnel Name:
Yang Hui Shan, Sherri