Office locations

South San Francisco HQ, New York, Seattle, or Chicago

Remote locations

Remote in United States

Who we are

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

At Stripe, we’re dedicated to helping millions of companies worldwide to find the financial products they need to grow their businesses. That’s why our Growth Data Science team creates intelligent data products and insights to help us deliver the right message to the right user at the right time. We collaborate with Marketing and Sales to influence the go-to-market strategy, boost product adoption, and increase user retention by making data-driven decisions at scale.

What you’ll do

We’re looking for a Data Scientist to partner with the Marketing team to improve the performance and target efficiency of marketing performance across channels (e.g. email, website, events, paid search) and across funnels (e.g. self-serve, sold), develop attribution models, and generate insights to inform data-driven go-to-market strategy.

Responsibilities

• Apply statistical, machine learning and econometric models on large datasets to measure performance, and identify the causal impact of marketing campaigns.
• Develop attribution models, and generate insights into what campaigns and channels are most effective from the attribution model.
• Develop predictive lead scoring to identify the target audience for marketing and sales campaigns.
• Design, analyze, and interpret the results of experiments. Drive the collection of new data and the refinement of existing data sources.
• Partner closely with Marketing, Sales, Finance, Engineering and Product teams to identify and address the most impactful challenges with data and analyses.

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

• 6+ years of data science/quantitative modeling experience.
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• A PhD or MS in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering).
• Strong knowledge of statistics, machine learning, and experiment design.
• Proficiency in Python and SQL.
• Experience with data-distributed tools (Scalding, Spark, Hadoop, etc).
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
• Ability to communicate results clearly and a focus on driving impact.
• Experience working with cross-functional teams to deliver results.

Preferred qualifications 

• * Experience designing and developing statistical modeling or machine learning pipelines.
• Experience working with Marketing and/or Growth teams.

Hybrid work at Stripe

Our Chicago, Dublin, and Singapore teams spend at least 50% of their time in their local offices. We believe that more in-person interactions will contribute to better results for our employees and Stripe. Increased office time allows for improved collaboration, efficiency, and informal learning opportunities, fostering a stronger community and building our culture. We will apply the insights gained from these initial three locations to continue refining our hybrid approach.

Pay and benefits

The annual US base salary range for this role is $185,579 - $251,077. 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.

Please find our California applicant personal information notice here.