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Staff Data Scientist
StripeUnited StatesStaff Data ScientistStripe 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 payment
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Über
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. You will be joining the part of Stripe's data science organization that focuses on Growth and Go-to-Market efforts. Sample projects can include but are not limited to: Leveraging a wide variety of tools such as experimentation, forecasting, personalization, and algorithmic recommendations to enable businesses to accelerate their journey to accept payments on Stripe, and find additional Stripe financial products that they need to grow their business. Delivering comprehensive ROI analysis for Stripe's growth marketing spend through rigorous measurement methodologies (marketing mix models, multi-touch attribution, lifetime value, long-term holdouts, etc.). You will be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance & Strategy teams, developing both intelligent data products and insights, and creating end-to-end systems and measurement plans for accelerating Stripe's overall growth engine. The annual US base salary range for this role is $225,900 - $338,900. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations: South San Francisco HQ, New York, or Seattle Team: Data & Data Science Job type: Full time
Sprachkenntnisse
- English
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