Data Scientist

About Stripe

Stripe is a monetary infrastructure platform for companies. Tens of millions of corporations—from the world’s largest enterprises to probably the most formidable startups—use Stripe to just accept funds, develop their income, and speed up new enterprise alternatives. Our mission is to extend the GDP of the web, and we’ve got a staggering quantity of labor forward. Meaning you might have an unprecedented alternative to place the worldwide financial system inside everybody’s attain whereas doing an important work of your profession.

Concerning the workforce

Our Knowledge Science workforce companions deeply with groups throughout Stripe to make sure that our customers, our merchandise, and our enterprise have the fashions, knowledge merchandise, and insights wanted to make choices and develop responsibly. We’re searching for knowledge scientists with a ardour for analyzing knowledge, constructing machine studying and statistical fashions, and working experiments to drive impression.  Our work is broad and diversified, influencing how our merchandise work (e.g. understanding person wants, stopping fraud, or optimizing cost flows), how our enterprise works (forecasting key outcomes, managing liquidity, quantifying threat publicity), how our go-to-market motions function (designing progress experiments, optimizing advertising investments, refining gross sales processes, and estimating causal results), and every little thing in between. We’ve got quite a lot of Knowledge Science roles and groups throughout Stripe and can search to align you to probably the most related workforce primarily based in your background.

What you will do

We’re searching for quite a lot of Knowledge Scientists to accomplice with the Product, Finance, Funds, Danger, Progress and Go-to-Market groups. You’ll work intently with a selected a part of the enterprise, taking part in a vital position in optimizing our techniques and leveraging knowledge to make strategic enterprise choices. As Knowledge Scientists as Stripe, it’s our mission to make sure that the corporate technique, merchandise, and person  interactions make good use of our wealthy knowledge, utilizing  strategies like machine studying, statistical modeling, causal inference, optimization, experimentation, and all types of analytics.

Who you might be

We’re searching for somebody who meets the minimal necessities to be thought-about for the position. When you meet these necessities, you might be inspired to use. The popular {qualifications} are a bonus, not a requirement.

Minimal Necessities

• 2-8+ years of knowledge science/quantitative modeling expertise
• Proficiency in SQL and a computing language comparable to Python or R 
• Robust data and hands-on expertise in a number of  of the next areas: machine studying, statistics, optimization, product analytics, causal inference, and/or experimentation
• Expertise in working with cross-functional groups to ship outcomes
• Potential to speak outcomes clearly and a give attention to driving impression
• A demonstrated potential to handle and ship on a number of initiatives with a excessive consideration to element
• Strong enterprise acumen and expertise in synthesizing advanced analyses into actionable suggestions
• A builder’s mindset with a willingness to query assumptions and standard knowledge

Most popular {qualifications} 

• Expertise deploying fashions in manufacturing and adjusting mannequin thresholds to enhance efficiency
• Expertise designing, working, and analyzing advanced experiments or leveraging causal inference designs
• Expertise with distributed instruments comparable to Spark, Hadoop, and so on.
• A PhD or MS in a quantitative subject (e.g., Statistics, Engineering, Arithmetic, Economics, Quantitative Finance, Sciences, Operations Analysis)