Data Scientist, Analytics (AI)

Location: Taipei, Taiwan

Company

hirify.global is an AI-native Agentic AI as a Service company developing software that uses artificial intelligence to improve business decision-making and generate measurable ROI.

What you will do

• Analyze campaign, bidding, auction, and user-behavior data to identify high-impact opportunities for improving online campaign performance.
• Investigate performance shifts, metric inconsistencies, and anomalies to identify root causes rather than relying on correlation.
• Partner with ML scientists, engineers, product and creative teams, and operations to turn insights into production improvements.
• Design, run, and evaluate high-volume A/B tests on live campaigns, including metrics, guardrails, noisy-result diagnosis, and ship or no-ship decisions.
• Build metric frameworks, datasets, pipelines, and dashboards for monitoring campaign health and supporting stakeholder decisions.
• Use AI assistants and agentic tools to increase analytical throughput while validating their outputs.

Requirements

• 3+ years of hands-on experience in data analytics or data science in a product- or performance-driven environment.
• Strong statistical knowledge covering experimental design, hypothesis testing, power analysis, and interpretation of noisy online experiments.
• Proficiency in Python and expert-level SQL, with experience processing large-scale data using PySpark or a comparable distributed framework.
• Working knowledge of machine learning and the ability to evaluate real-world model impact.
• Ability to translate analysis into decisions and communicate clearly with technical and non-technical audiences.
• Fluent written and spoken English required.

Nice to have

• Experience with programmatic or digital advertising, including RTB, DSPs, ad networks, and metrics such as CTR, CVR, CPA, ROAS, and win rate.
• Experience with causal inference or experimentation infrastructure.
• Experience building dashboards with Looker, Tableau, Metabase, Grafana, Superset, or code-based libraries.
• Experience building automated or agentic analytics workflows with LLMs.

Culture & Benefits

• Work directly with ML, engineering, product, creative, and operations functions.
• Own analytical initiatives from initial insight through measurable production impact.
• Use AI tools as part of the daily analytical workflow.
• Operate in a high-scale advertising environment handling millions of bid requests per second.