Posted 31 months ago
Data Scientist
@ Stripe
Toronto, Ontario
Overview
Stripe is hiring a Data Scientist to partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. The work covers machine learning, statistical modeling, causal inference and experimentation to drive business decisions. Minimum requirements are 6+ years for an MS and SQL plus Python or R.
Responsibilities:
- Partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams
- Build machine learning and statistical models
- Design and analyze experiments and causal inference studies
- Forecast key business outcomes and quantify risk
- Turn complex analyses into actionable recommendations
Requirements summary:
- 6+ years data science experience with an MS, or 8+ with a BS, or 3+ with a PhD
- Proficiency in SQL and Python or R
- Experience working with cross-functional teams
- Clear communication and strong business acumen
- Ability to manage multiple projects with attention to detail
- Proficiency with AI tools for model development and coding
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2024-04-30
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-04
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 6+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Statistics, Engineering, Mathematics, Economics, Operations Research |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Stripe
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Help increase the GDP of the internet.
Full company description
Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
- LinkedIn followers
- 1,286,676
- People associated on LinkedIn
- 14,284
- Reported office locations
- 354 Oyster Point Blvd, South San Francisco, California 94080, US
- 1 Wilton Park, Wilton Terrace, Dublin, County Dublin D02 FX04, IE
- 920 5th Ave, Seattle, Washington 98104, US
- 201 Bishopsgate, London, England EC2M 3NS, GB
- 10, Boulevard Haussmann, Paris, Ile-de-France 75009, FR
- 89 Neil Rd, Central Business District, Singapore 088894, SG
- 1-5-8 Jingumae, Tokyo, Shibuya-ku 150-0001, JP
- 515 N State St, Chicago, Illinois 60610, US
- 28 Liberty Street, New York, NY 10005, US
- Singel 542, Amsterdam, North Holland 1017, NL
- Avenida Paseo de la Reforma 296, Ciudad de Mexico, Colonia Juarez 06600, MX
- 222 Exhibition St, Melbourne, Victoria 3000, AU
- Avenida Paulista 1374, Paulínia, São Paulo 13140-000, BR
- Church Street Haridevpur, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560001, IN
- Business categories
- Finance
- InsurTech
- SaaS
- FinTech
- Financial Services
- Venture Capital
- Mobile Payments
- Other recorded names
- Stripe
- Profile identifies a recruitment agency
- No
- Reported total investment
- 9,440,247,725
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 5,001-10,000 employees |
| Headquarters | South San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2010 |
| Open jobs on Jobsy | 51 |
| View page |
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
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 you'll do
We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the 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.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ 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 MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
Journal
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