7 дней назад
Data Scientist (Ads)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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