Senior Data Scientist

🕒 July 21

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RevenueCat

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $40M Series B on 2021-05

Consulting • Marketing • SaaS

RevenueCat is a platform that helps developers build and grow their subscription-based apps by simplifying in-app purchase management across iOS, Android, and the web. Trusted by over 32,000 apps, RevenueCat offers a suite of tools for subscription data management, customer support, marketing, and engineering teams. The platform enables businesses to implement in-app purchases faster, automate receipt validation, and provide a central source of truth for subscription data. RevenueCat also supports A/B testing and provides actionable insights through a unified view of cross-platform usage, helping apps to drive growth and optimize revenue strategies. With its comprehensive API, RevenueCat facilitates the integration of subscriptions with existing marketing and analytics tools, allowing developers to focus on building impactful app features.

📋 Description

• Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets. • Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations. • Partner with Product Managers to shape roadmaps, not just execute on them. • Design, build, and ship production-grade predictive and descriptive models that power customer-facing features. • Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting. • Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact. • Continuously iterate on shipped models and features based on real-world usage and feedback.

🎯 Requirements

• 5+ years of experience working as a Data Scientist • Strong SQL skills and comfort with data modeling • Experience building and deploying predictive and descriptive models in production • Experience writing or collaborating on production-ready Python code • A solid understanding of statistics and experimentation, ideally including Bayesian approaches • The ability to clearly explain complex ideas and results to broad audiences

🏖️ Benefits

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator • 10-year window to exercise vested equity options • Fully remote and flexible work environment • 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge • $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning