Time since we first saw it
Day 18
Similar jobs usually come down between day 7 and day 56.
From 10,204 similar postings that came down. Coming down is not always a hire.
Data Scientist, Ads
Shibuya, Tokyo, Japan
Live, first seen by us 18 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingLead end-to-end A/B tests and quasi-experimental evaluations
Run exploratory analysis to find high-value ad revenue opportunities
Design analytical data pipelines, metrics, and self-serve dashboards
Turn ad strategy into hypotheses with Product, Engineering and business teams
Synthesize findings into executive-ready recommendations for ad roadmaps
From the employer’s posting
Lead end-to-end A/B testing and quasi-experimental evaluations
Perform exploratory analysis and impact-size estimation on ad ecosystem data
Design domain-specific analytical data pipelines, key performance metrics, and self-serve dashboards
translate high-level ad strategy into precise hypotheses and analytical frameworks
Synthesize complex data into actionable, executive-ready insights that guide ad product roadmaps
What you’ll bring
All qualificationsCore experience
- Prior experience working as an analytics lead with cross functional partners such as product/eng/sales.
- Familiarity with online advertisement / marketing domain
- Understanding of data engineering system (e.g.
- Solid knowledge of online experiment and statistical modeling
Qualification wording
Prior experience working as an analytics lead with cross functional partners such as product/eng/sales.
Familiarity with online advertisement / marketing domain
Understanding of data engineering system (e.g. data warehousing, using data workflow tools like Airflow or dbt)
Solid knowledge of online experiment and statistical modeling
About SmartNews
Thanks to our unique machine-learning technology and relationships with more than 3,000 global publisher partners, we provide news that matters to millions of users.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 202618 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
SmartNews is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- dbt
- Hive
- Trino
- Airflow
Where the posting names them
- Advanced level SQL (Trino, hive, rds, etc.) - Programming languages used for data analysis (Python, R, etc.) - Prior experience working as an analytics lead with cross functional partners such as product/eng/sales.
Minimum requirements - Advanced level SQL (Trino, hive, rds, etc.) - Programming languages used for data analysis (Python, R, etc.)
- Advanced degrees in Mathematics, Statistics, Computer Science or analytical field - Understanding of data engineering system (e.g. data warehousing, using data workflow tools like Airflow or dbt) - Advanced knowledge on causal inference and mathematical modeling
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About SmartNews
SmartNews is a leading global information and news discovery company dedicated to delivering quality information to the people who need it. Thanks to our unique machine-learning technology and relationships with more than 3,000 global publisher partners, we provide news that matters to millions of users.
Founded in 2012 in Tokyo, SmartNews also has offices in Osaka (Kansai Office), Palo Alto, New York and Singapore.
If you share our vision and are passionate about our mission, we encourage you to apply!
The Team
In SmartNews, data science accelerates growth through scientific decision-making and rapid iteration. The Ads Data Science team owns the evolution of our advertising ecosystem across both JP and US markets, centering our work on product analytics, experimentation, and data enablement. We drive strategic clarity through advanced analytics and A/B testing—maximizing revenue for business partners while safeguarding the core user experience. To scale our impact, we also build and maintain the analytical data pipelines and self-serve tooling that empower partner teams across SmartNews to seamlessly leverage ad data.
Your Mission
As a Data Scientist on the Ads team, your mission is to drive ad product evolution through end-to-end decision science. Working closely with Product Managers, Engineers, and Business partners in a fast-paced environment, you will own projects from inception to execution—turning high-level strategy into precise data representations, conducting rigorous analysis, and communicating high-impact insights that guide critical business choices.
What You Will Do
- Partner Cross-Functionally: Collaborate closely with Product Managers, Engineers, and Business stakeholders across JP and US teams to translate high-level ad strategy into precise hypotheses and analytical frameworks.
- Uncover Growth Opportunities: Perform exploratory analysis and impact-size estimation on ad ecosystem data to discover high-value opportunities that balance ad revenue with core user experience.
- Design & Evaluate Experiments: Lead end-to-end A/B testing and quasi-experimental evaluations (including causal inference for non-testable features) to measure product performance and user impact.
- Build Data Enablement & Pipelines: Design domain-specific analytical data pipelines, key performance metrics, and self-serve dashboards that empower partner teams to easily leverage ad data.
- Deliver Strategic Recommendations: Synthesize complex data into actionable, executive-ready insights that guide ad product roadmaps and commercial execution.
Requirements
Minimum requirements
- Advanced level SQL (Trino, hive, rds, etc.)
- Programming languages used for data analysis (Python, R, etc.)
- Prior experience working as an analytics lead with cross functional partners such as product/eng/sales.
- Solid knowledge of online experiment and statistical modeling
- Business or higher English
- Familiarity with online advertisement / marketing domain
Nice to have experiences/skills
- Conversational or higher Japanese (JLPT N2 certification)
- Advanced degrees in Mathematics, Statistics, Computer Science or analytical field
- Understanding of data engineering system (e.g. data warehousing, using data workflow tools like Airflow or dbt)
- Advanced knowledge on causal inference and mathematical modeling
Related Links
Working condition
- Office Location: Tokyo
Click here or visit our careers site for more info.
Benefits
Benefits available at the SmartNews Tokyo Office
- All healthcare and social insurance required by the Japanese labor law, plus annual health check
- Visa sponsorship and overseas relocation support available for eligible candidates
Click here or visit our careers site for more info about our benefits.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Shibuya, Tokyo, Japan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- All healthcare and social insurance required by the Japanese labor law, plus annual health check - Visa sponsorship and overseas relocation support available for eligible candidates Click here or visit our careers site for more info about our benefits.