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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, 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, 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.
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
Preferred qualifications
Hybrid work at Stripe
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
Pay and benefits
The annual US base salary range for this role is $144,300 - $251,200. 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.
Great News! We've discovered an exciting live job opportunity for a Data Scientist position in United States. This job is currently open for hiring/recruiting by Stripe, exclusively for you at American Jobs. Feel free to download the job details here.
The work culture at Stripe must adhere to the Ethics of Work Culture as described in the Ethical framework of the UN Charter. You can gain more insights into their local workplace environment by exploring their jobs Stripe and also by visiting their official website through Google.
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Yes, we found live job(s) for Stripe in United States.
Data Scientist jobs are available in United States.
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The average salary range for Data Scientist in United States varies, but the standard pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively.
To apply for a job at Stripe follow the application process following the "Apply Now" button at American Jobs and also you can visit Stripe official career page and follow their application process.
Key qualifications for Data Scientist typically include a list of qualifications and expertise as outlined in Bureau of Labor. Be sure to check the specific job listing for detailed requirements and qualifications.
You can set up job alerts for Data Scientist in United States by creating a free job alerts on American Jobs. Our Ai system will automatically notify you when new job listings matching your criteria become available.
Benefits for Data Scientist positions may include a list of benefits. These can vary from company to company, so it's important to review the specific job listing for details on benefits offered by the employer.
Not all jobs have remote job opportunities available. However, nowadays, many companies offer remote work options. You can find remote job listings for Data Scientist on American Jobs.
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