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.
Required Skills & Experience
- 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 apply88(@)talentvis.com or click apply!
..We regret to inform that only shortlisted candidates would be notified..
EA License No: 04C3537
EA Personnel No: R22106683
EA Personnel Name: Yang Hui Shan, Sherri
