# Data Scientist, Global Growth

**Company**: Stripe
**Location**: Singapore
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/8043052?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_489cf38b-916

## Description

## Job Description

We're looking for a Data Scientist to partner with our Global Growth teams. You'll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe.

You'll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally.

As Data Scientists at Stripe, our mission is to ensure that company strategy, products, and user interactions make smart use of our rich data using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

## Responsibilities

- Design and ship experiments to drive impact

- Identify improvement opportunities across stripe.com and the dashboard

- Help understand, grow, and optimize the self-serve user funnel

- Ensure a consistently high-quality onboarding experience for users globally

## Requirements

- Bachelors + 8 years or Masters + 6 years or PhD + 3 years of data science or quantitative modeling experience

- Proficiency in SQL and a computing language such as Python or R

- Experience in working with cross-functional teams to deliver results

- Ability to communicate results clearly and a focus on driving impact

- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

- Strong business acumen and experience in synthesizing complex analyses into actionable recommendations

- Proficiency with AI tools to accelerate model development, analysis, and coding

## Preferred Qualifications

- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation

- Experience deploying models in production and adjusting model thresholds to improve performance

- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs

- A builder's mindset with a willingness to question assumptions and conventional wisdom

- Experience with distributed tools such as Spark, Hadoop, etc.

- A PhD or MSc in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

## Skills

### Required
- SQL
- Python
- R
- data science
- quantitative modeling
- machine learning
- statistical modeling
- causal inference
- optimization
- experimentation
- analytics

### Nice to have
- statistics
- product analytics
- Spark
- Hadoop

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/8043052?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)