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Data Scientist, Analytics - Tokyo,Japan.

Appier
Location
Tokyo, Japan
Posted
16 days ago
Department
Scientist
What they actually want (must-haves)
  • 3+ years of hands-on experience in data analytics or data science in a product- or performance-driven environment
  • Strong statistical foundation in experimental design: hypothesis testing, power analysis, and reading noisy online experiments
  • Proficiency in Python and expert-level SQL, with hands-on experience processing large-scale data in PySpark or a comparable distributed framework
  • Working knowledge of machine learning sufficient to collaborate with ML scientists and evaluate models' real-world impact
  • Demonstrated ability to turn analysis into decisions and communicate clearly with technical and non-technical audiences
  • Fluent English, written and spoken
Nice to have
  • Experience in programmatic / digital advertising (RTB, DSP, ad networks) and its core metrics (CTR, CVR, CPA, ROAS, win rate)
  • Experience with causal inference or building experimentation infrastructure
  • Experience building dashboards (Looker, Tableau, Metabase, Grafana, Superset, or code-based libraries)
  • Experience building automated or agentic analytics workflows with LLMs
What the job really is

In this role as a Data Scientist at Appier, you will analyze campaign, auction, and user behavior data to identify opportunities for performance improvements in online advertising. You will collaborate with various teams to drive changes based on data insights, design and execute A/B tests, and build metric frameworks and dashboards to monitor campaign health. The position requires a proactive approach to problem-solving and a strong statistical foundation to inform decision-making.

Benefits
  • Open to overseas candidates/Visa Support
Things to weigh
  • No salary listed
  • The role requires a high level of collaboration across multiple teams without direct authority
  • The position emphasizes a proactive and curious mindset, which may not suit all candidates
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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