Эта вакансия в архивеПосмотреть похожие вакансии ↓
RevenueCat·EMEA, LATAM, Canada, USA·25 авг.
Senior Data Scientist, Product
18 333 – 18 333 $
на 337% выше медианы рынка
≈ 1,6 млн–1,6 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
80
Сильная вакансия
Платят на 130% выше медианы грейда, навык востребован (python).
Наша компания
RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $12B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue. We’re a remote‑first crew of 150+, spread across 25+ countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions
Чем предстоит заниматься
We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive
This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward
You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet
You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data
Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS
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
This role has real ownership. You will not just support decisions, you will help drive them
Наши требования
You are a Senior Data Scientist who cares deeply about impact and product outcomes
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
Мы предлагаем
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
Curious about the interview process? Discover more in our blog post about how we hire and learn tips to help you succeed
Дополнительно
You are highly proactive and opinionated, and you are comfortable pushing ideas forward
You enjoy working with messy, real-world data and imperfect information
You care more about creating customer value than academic elegance
You are comfortable operating in ambiguity and building structure where none exists
You enjoy working closely with Product teams and influencing decisions
You are excited by the consumer subscription ecosystem and curious about how developers make money
What success looks like
Understand our data models
Get to know the team
Ramp up on the ongoing data feature work
Implement and ship your first project
Meaningfully contribute to shipping a data feature to thousands of developers
Learn the basics of incident response, and be part of the on-call rotation
Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features
Launch your own explorations into our data to fulfill your own curiosity
Own one or more core data-powered features end to end
Influence the data feature roadmap with clear, data-backed proposals
Be a go-to partner for product teams on data-driven decision making
Propose and lead entirely new data-driven product initiatives
Push the boundaries of how RevenueCat uses data to help developers grow revenue
Help shape how data science operates at RevenueCat as the function grows
Технологии и навыки
RevenueCat
EMEA, LATAM, Canada, USA
ГрейдSenior
ЗанятостьПолная занятость
ФорматУдалённо
ИсточникСкрыто
Опубликовано25 авг.
Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).