> Markdown version of [/jobs/ext/2998659-data-scientist-global-growth](https://www.wearedevelopers.com/jobs/ext/2998659-data-scientist-global-growth). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Global Growth - **Company:** Stripe, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Salary:** $172,000.0 - $258,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Usage Analysis, Apache Spark, Stripe, Machine Learning Operations - **Published:** September 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p490mx6w3c ## About the Role * 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, * 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) 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [Throwing off the burdens of scale in engineering](https://www.wearedevelopers.com/videos/608-throwing-off-the-burdens-of-scale-in-engineering) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Build Your Own Subscription-based Course Platform](https://www.wearedevelopers.com/videos/321-build-your-own-subscription-based-course-platform) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe)