Data Scientist, Stripe
€102.4-153.6k
A financial infrastructure platform for businesses
Be an early applicant
A financial infrastructure platform for businesses
1001+ employees
Be an early applicant
€102.4-153.6k
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- 3-8+ years of data science/quantitative modeling experience
- Proficiency in SQL and a computing language such as Python or R
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- 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
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
- A builder's mindset with a willingness to question assumptions and conventional wisdom
Desirable
- Experience deploying models in production and adjusting model thresholds to improve performance
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- 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)
What the job involves
- We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, 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 as 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
Our take
Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payments option in their apps or websites, where before there was none.
More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.
To further expand its position, the company is looking to triple its presence in Ireland, and extend its services to countries with vast customer potential, including Brazil and India. Its latest venture, coming atop significant new funds, is to partner with OpenAI, the company behind ChatGPT - a win-win collaboration that will monetize OpenAI’s flagship products and at the same time enhance Stripe with GPT-4, as it moves forwards with intentions to "build the payments foundation for tomorrow's AI economy."
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Mar 2023
$6.5bn
GROWTH EQUITY VC
Mar 2021
$600m
SERIES H
Total funding: $8.7bn
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
- Comprehensive mental, physical and medical health plans
- Fertility benefits and parental leave
Company HQ
SoMa, San Francisco, CA
Leadership
Patrick Collison
(Content Strategist)Studied maths at MIT before founding Stripe. Also on the board of the Long Now Foundation.
John Collison
(President)Studied at Harvard but dropped out to found Stripe.
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