Senior Data Scientist, Fraud & Risk

Overview

RevenueCat, a leader in the mobile app subscription space, seeks a Senior Data Scientist to support its finance and risk initiatives. Having grown significantly since its founding, RevenueCat is committed to helping app developers monetize their products effectively. The company has established itself as a default monetization platform for mobile applications, processing over $12 billion in annual transactions.

The new role is part of a greenfield opportunity within the company’s Capital team, responsible for building data-driven products aimed at financial institutions. This position offers a chance to significantly influence how RevenueCat develops its next financial products while contributing to the overarching mission of helping developers earn more via in-app purchases.

Position Details

Role Responsibilities

The Senior Data Scientist will lead the data science strategy and will have the opportunity to:

• Own the Data Science strategy for RC Capital, creating a foundation for underwriting and fraud detection systems.
• Develop sophisticated models for lead qualification, anomaly detection, and fraud prevention, utilizing rich revenue data.
• Collaborate with Product and Engineering teams to embed risk signals into customer-facing systems and internal decision-making processes.
• Analyze cross-platform revenue data to enhance underwriting models and improve product design.
• Establish mechanisms for measuring impact and evaluating model performance.
• Operate with a high degree of ownership in a dynamic and ambiguous environment.

About the Company

RevenueCat is a startup renowned for its commitment to customer success and innovative solutions for app monetization. The company's striking growth has positioned it as a vital resource for developers looking to manage subscriptions efficiently. With a remote-first culture, the company is home to more than 150 employees across 25+ countries, aiming to cultivate a connectively and supportively values-oriented workplace.

Required Skills and Qualifications

Candidates for the position should have:

• At least 5 years of experience in data science, preferably with a background in fintech, credit, lending, or payment systems.
• Demonstrated expertise in fraud detection and/or underwriting, showcasing a solid understanding of financial data.
• Proficiency in SQL and Python, ensuring capability in developing, deploying, and monitoring operational models.
• Familiarity with mobile applications and developer ecosystems.
• An ownership mentality, willing to take initiative and handle complex challenges directly.
• Strong analytical skills necessary for making informed decisions amidst uncertainty.
• A systems-oriented mindset to identify automation opportunities and scalable processes.

Compensation and Benefits

While specific salary details are not provided, the role offers a competitive equity package in a fast-growing startup environment backed by top investors, including Y Combinator. Notable benefits include:

• A 10-year window to exercise vested equity options.
• Flexibility with a fully remote working arrangement.
• A recommended 4-5 weeks of annual time off to support mental, physical, and emotional well-being.
• Financial support for workspace setup amounting to $2,000 USD and a $1,000 USD annual stipend for continuous education.

Career Growth Opportunities

In the first month, the new hire is expected to grasp how the Daily Payouts system currently functions, learn the team dynamics, and identify critical gaps in the existing strategy.

At three months, a baseline fraud detection model should be operational, alongside learning about incident response processes. Within six months, the new hire will own the fraud and underwriting systems, truly integrating their insights into the product roadmap. By the end of the first year, the goal is to lead new data initiatives and influence the strategic direction of Capital’s financial offerings.

Conclusion

This Senior Data Scientist role at RevenueCat offers a unique opportunity for professionals in the data science field, especially those with a background in fintech and financial risk management. With a strong emphasis on collaboration, ownership, and innovative thinking, the position promises not just a job, but a chance to impact the future of financial products aimed at app developers. As the company continues to grow, this role is poised to play a pivotal part in how they scale their new financial operations, providing a thrilling mix of challenges and rewards.

This job offer was originally published on jobicy.com