Data Analyst, Global Growth
Stripe · Singapore · 7112 Data Science · listed September 25, 2026
The shape of it
Seniority
Not stated
Where
Not stated
Requirements listed
10
Length
563 words
In the posting’s own words
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What it asks for · 10
- Bachelors + 8 years or Masters + 6 years or Phd + 3 years
- Proficiency in Scala or Python for data pipeline development, not just scripting and SQL
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
- Experience with distributed data frameworks such as Spark to write and debug data pipelines
- Proficiency with AI tools to accelerate model development, analysis, and coding
- Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
- Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
- Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities
Also a plus
- Prior experience at a growth-stage internet or software company
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing
- Strong statistical knowledge
- Working knowledge of Python
- Experience creating leadership-level reporting, such as QBRs, MBRs
Degree language
- Bachelors + 8 years or Masters + 6 years or Phd + 3 years
Tools and skills named
Data
- Data pipelines4×
- Airflow
- Spark
Languages
- Python2×
- Scala
- SQL
Ways of working
- Cross-functional2×
- Code review
- Testing
Go to market
- Forecasting
- Go-to-market
- Pipeline generation
Models & research
- Machine learning
Words the posting leans on
- data13×
- experience5×
- insights5×
- requirements5×
- business4×
- partners4×
- products4×
- users4×
- building3×
- data pipelines3×
- development3×
- experiments3×
- models3×
- stakeholder3×
- actionable insights2×
- collaborating2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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