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7 дней назад

Data Scientist (Ads)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Singapore/US/Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (Ads) (Python/SQL): Driving advertising product evolution through product analytics, experimentation, causal inference, and analytical data pipelines with an accent on balancing ad revenue with core user experience. Focus on designing A/B tests, estimating business impact, building self-serve data tooling, and turning complex analysis into strategic recommendations for JP and US markets.

Location: Hybrid role based in Shibuya, Tokyo, Japan

Company

hirify.global is a global information and news discovery company using machine-learning technology and publisher partnerships to deliver relevant news to millions of users.

What you will do

  • Collaborate with Product Managers, Engineers, and Business stakeholders across Japan and the US to translate advertising strategy into hypotheses and analytical frameworks.
  • Analyze advertising ecosystem data and estimate impact to identify growth opportunities while protecting the core user experience.
  • Lead A/B tests and quasi-experimental evaluations, including causal inference for non-testable product features.
  • Design analytical data pipelines, performance metrics, and self-serve dashboards for partner teams.
  • Transform complex data into executive-ready insights that guide product roadmaps and commercial decisions.

Requirements

  • Advanced SQL, including experience with technologies such as Trino, Hive, or RDS.
  • Programming experience for data analysis with Python, R, or similar languages.
  • Experience as an analytics lead working cross-functionally with product, engineering, or sales partners.
  • Strong knowledge of online experimentation and statistical modeling.
  • Business-level or higher English.
  • Familiarity with online advertising or marketing.

Nice to have

  • Conversational or higher Japanese, preferably JLPT N2 or above.
  • Advanced degree in Mathematics, Statistics, Computer Science, or a related analytical field.
  • Understanding of data engineering systems, data warehousing, Airflow, or dbt.
  • Advanced knowledge of causal inference and mathematical modeling.

Culture & Benefits

  • Cross-functional collaboration with product, engineering, and business teams across Japan and the US.
  • Health and social insurance required by Japanese labor law.
  • Annual health check.
  • Visa sponsorship and overseas relocation support are available for eligible candidates.

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