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# Data Scientist, Link

- **Company:** Stripe, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $142,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Usage Analysis, Apache Spark, Stripe, Machine Learning Operations
- **Published:** August 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdyngatk3

## About the Role

* PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience
 * 3+ years in Product Analytics, Experimentation and Causal Inference
 * Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
 * Proficiency in SQL and Python
 * 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, * 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
 * 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 MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

In-office expectations

## Description

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible., Stripe builds financial tools and economic infrastructure for the internet. It navigates global regulatory uncertainty and partners closely with internet leaders like Apple, Google, Alipay, Tencent, Facebook, Twitter to launch new capabilities.


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