Join Stripe as a Data Science Engineer in User Billing

About Stripe:

Stripe is at the forefront of redefining global financial infrastructure, empowering companies from startups to industry leaders through seamless payment solutions and opportunities for growth. Our mission extends beyond transactions; we aim to boost the GDP of the internet. At Stripe, each task you undertake is a step towards democratizing global economic participation, providing you a platform for the most significant work of your career.

Team Overview

At the heart of Stripe, the Revenue Foundations team enhances how businesses around the globe engage with our versatile product suite. From processing payments to managing enterprise solutions, our team ensures a seamless integration of billing experiences, touching every part of Stripe's ecosystem across product, sales, engineering, finance, and operations.

Your Role

As a Data Science Engineer in User Billing, your expertise in data engineering and analytics will be crucial. You will be instrumental in scaling our services while ensuring data integrity, collaborating with internal teams such as Sales, Engineering, and Finance to enhance our billing systems. Your efforts will directly enhance user experience by maintaining billing accuracy and supporting the scalability of new commercial ventures.

Key Responsibilities:

• Develop and maintain scalable data systems that enhance Stripe’s billing processes for complex transactions.
• Utilize advanced data pipeline and modeling skills to solve challenges in data accuracy and billing.
• Automate key processes to boost efficiency using top-tier tools like Scala, Spark, Airflow, and beyond.
• Work closely with the Data Science team to implement machine learning models that ensure financial precision.

Who We're Looking For:

Stripe is eager to welcome candidates who exhibit a solid background in Data or Software Engineering focused on big data solutions and data pipeline construction. Ideal candidates are those keen on tackling scalability issues through innovative data solutions and are proficient in distributed data frameworks and computing languages like Scala, Python, and SQL.

Minimum Requirements:

• 3+ years experience in Data Engineering or a related field.
• Strong ability to design and code robust data pipelines.
• Experience in debugging and optimizing big data applications.
• Efficient communication and problem-solving skills.

Preferred Qualifications:

• Experience in fintech or payment systems.

Become part of a team that connects and empowers economies globally, and take your career to the next level at Stripe. Apply today to transform how businesses operate and facilitate economic growth worldwide.

Apply Now

Ready to make a substantial impact at Stripe? . Let’s revolutionize the economic framework together!