Job Description

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

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you’ll do

In this role, you will partner 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. You will work closely with partners to extract insights from Stripe’s rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

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

• 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
• Proficiency in SQL and Python
• Strong statistical knowledge
• Expertise in visualization and using data insights to make recommendations and achieve goals
• Proven ability to manage and deliver on multiple projects with great attention to detail
• Ability to clearly communicate results and drive impact
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights

Preferred Qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Prior experience at a growth stage internet or software company.
• Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
• This role is not eligible for hire in the Greater Seattle Area, Greater NYC Area, or San Francisco Bay Area

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office and remote work expectations

In-office expectations: Office-assigned Stripes spend at least 50% of the time in their local office or with users. This balances in-person collaboration with flexibility for individuals and teams.

Working remotely at Stripe: A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. You would be welcome to come into the office for meetings, on-sites, meet-ups, and events, but the expectation is you would regularly work from home. Stripe does not cover the cost of relocating to a remote location. Apply for roles that match your location.

Pay and benefits

The annual US base salary range for this role is $146,900 – $220,300. For sales roles, the range provided is the role’s On Target Earnings (OTE) range, including base salary and target commissions. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on factors including experience, qualifications, and location. Applicants 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.

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Job Tags

Work at office, Local area, Remote work, Relocation,

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