Data Scientist (AI Advertising)

Location: Must be based in Taipei, Taiwan or Tokyo, Japan. Visa sponsorship is available for international candidates through the Japan office.

Company

hirify.global is an AI-native Agentic AI as a Service company that develops software for AI-powered business decision-making and advertising performance.

What you will do

• Analyze campaign, bidding, auction, and user-behavior data to identify opportunities for improving online campaign performance.
• Investigate performance shifts, metric contradictions, and unexplained anomalies to determine root causes.
• Partner with ML scientists, product managers, creative teams, engineers, and operations to turn insights into production improvements.
• Design, run, and evaluate high-volume A/B tests on live campaigns, including metrics, guardrails, and ship/no-ship decisions.
• Build metric frameworks, large-scale datasets, analytical pipelines, and dashboards for campaign monitoring.
• 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 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 models' real-world impact.
• Ability to translate analysis into decisions and communicate with technical and non-technical audiences.
• Fluent English, written and spoken, is required.

Nice to have

• Experience in 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

• Cross-functional work with ML, engineering, product, creative, and operations teams.
• Ownership of initiatives from initial insight through measurable production impact.
• Daily use of AI tools as an analytical productivity multiplier.
• Japan visa sponsorship for eligible international candidates relocating to Japan.