Senior Data Scientist, RC Capital

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Overview

This job opportunity is for a Senior Data Scientist role at RevenueCat, a pioneering company aiming to streamline in-app subscription management for developers. The company's mission is focused on empowering app developers to maximize their earnings through effective software solutions. The role offers a chance to be a crucial member of the RC Capital team, tasked with developing innovative financial products while operating in a fully remote work environment.

Company Background

RevenueCat has established itself as a leading platform for monetization within the mobile app, currently processing over $10 billion in annual purchase volume. With a diverse team spread across 25 countries, they are dedicated to principles such as Customer Obsession, Always Be Shipping, Ownership, and Work-Life Balance. These values create an environment that encourages advancement and promotes the importance of the work done, impacting hundreds of millions of users.

Job Role and Responsibilities

In the role of a Senior Data Scientist, you would be responsible for supporting product initiatives specifically within RC Capital, focusing on various data science models needed for lead qualification, anomaly detection, and fraud prevention. Here are some of the key responsibilities:

• Own the data science strategy for RC Capital, laying down the foundation for underwriting and fraud detection systems.

• Create sophisticated models that aid in lead qualification and analyze real-time app revenue data. This will involve the understanding of cross-platform revenue metrics and leading indicators.

• Collaborate closely with product and engineering teams to integrate risk signals into customer-facing flows and internal decision engines.

• Evaluate current analytics mechanisms while designing new projects to identify how RevenueCat’s data can be leveraged for comprehensive financial insight.

• Help define the long-term vision for financial products by operating with a high sense of ownership in a fast-paced and ambiguous environment.

Required Skills and Qualifications

The ideal candidate for this job has the following:

• A minimum of 5+ years of data science experience, preferably in the fintech, credit, or lending sectors.

  

• Expertise in fraud and underwriting models, focusing on balancing risk while aiming for growth.

• Strong analytical skills with proficiency in SQL and Python. Candidates are required to authenticate data and develop new models proficiently.

• A curiosity about the mobile apps ecosystem, which can facilitate learning how apps earn their revenue.

• The ability to thrive in ambiguity, making confident decisions with limited information.

• A systems thinking approach to problem-solving, always looking for opportunities to scale solutions.

Salary and Benefits

While specific salary information was not disclosed in the job description, the company offers a competitive equity structure in a rapidly growing Series C startup. Other benefits include:

• 10-year window to exercise vested equity options.
• A fully remote and flexible work setup.
• An annual time-off suggestion of 4-5 weeks for mental and emotional well-being.
• A $2,000 workspace setup allowance and $1,000 annual stipend for continuous learning.

Career Growth and Success Metrics

Success in this position is measured in stages:

• First Month: Understand the current workings of daily payouts and gain insights into the state of the current underwriting model.

• First 3 Months: Have a preliminary fraud detection model in production, while collaborating with Product and Engineering to integrate necessary risk signals.

• First 6 Months: Take ownership of the underwriting and fraud detection systems and influence the product roadmap with data-driven insights.

• First 12 Months: Lead new data initiatives that will drive the product line expansion beyond current offerings.

Overall, this opportunity is geared toward a data professional looking to create meaningful impact in the fintech landscape while operating within a dynamic company that values innovation and community.

In conclusion, the Senior Data Scientist position at RevenueCat is ideal for someone with a strong data science background in fintech, particularly in fraud detection and underwriting, who values a collaborative, remote working culture.

This job offer was originally published on jobicy.com