Data Scientist, Revenue and Financial Management

Key Skills

Python Programming, R Programming, SaaS, SQL

Job Description

About the team

We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. It is too difficult and expensive today for fast growing companies to produce financials and analyze their businesses. We are laser focused on building an end-to-end solution for users to understand their performance and grow their revenue.

What you’ll do

Responsibilities

• Define and measure key outcome metrics for our suite of Financial and SaaS products that cater to our users needs.
• Design and analyze experiments to improve the conversion funnel for product adoption and targeting efficacy.
• Apply statistical methods, causal inference, and machine learning to inform product decisions and optimize our products and systems.
• Design and develop data sets that enable better understanding of adoption and engagement across Stripe’s SaaS products, dashboard, and developer platform.
• Partner closely with product, engineering, finance, and marketing teams to identify and prioritize the most important data science

Who you are

We’re looking for an experienced data scientist to partner with teams across our Revenue and Financial Management org to support the growth of our existing SaaS products including Stripe Billing and Stripe Tax. In addition, the org is excited for the development of new data products that are critical for our users to grow their revenue and analyze their business. If you are excited about building new products on Stripe’s platform, live and breathe data-driven product development, and energized by designing strategic metrics and causal analyses, then we want to hear from you.

Minimum requirements

• 6+ years of data science/quantitative modeling experience.
• A PhD or MS in a quantitative field (e.g., Statistics, Quantitative Finance, Economics, Sciences, Engineering).
• Expert knowledge of a scientific computing language (such as R or Python) and SQL.
• Expertise in statistics and experimental design.
• Prior experience with product and/or go to market data science or enthusiasm to learn.
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
• The ability to communicate results clearly and a focus on driving

Pay and benefits

The annual US base salary range for this role is $168,600 - $228,229. 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.