Роль четко определена с акцентом на монетизацию в растущем стартапе в области ИИ, а диапазон зарплаты привлекателен, что указывает на хорошие возможности для роста.
Высокая зарплата
Четкие обязанности
?Стартап-среда
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (AI): Scaling and optimizing monetization systems through subscriptions, advertising, and virtual currency economies with an accent on data-informed, user-centric experiences. Focus on building data science foundations to support rapid product iteration and long-term growth.
Location: Redwood City, CA, New York, NY
Salary: $180K - $300K
Company
Character.AI empowers people to connect, learn and tell stories through interactive entertainment.
What you will do
Partner closely with product and engineering teams to drive data-informed monetization across subscriptions, advertising, and virtual currency economies.
Define success metrics and lead experimentation.
Translate complex behavioral and economic data into actionable insights.
Build the data science foundations needed to support rapid product iteration and long-term growth.
Requirements
7+ years of experience as a Data Scientist working on consumer-facing products, ideally in chat, social, UGC, or entertainment platforms.
Strong intuition for identifying the right questions and quickly driving to high-impact insights.
Proven ability to turn analysis into product decisions and shipped outcomes.
Comfortable working in fast-moving, experimental environments with incomplete data.
Experience building or scaling data science practices, including experimentation, metrics, and analytics tooling.
Nice to have
Direct experience supporting monetization systems, including subscriptions and pricing, advertising or ad marketplaces, and virtual currencies, economies, or gamified monetization.
Background in consumer B2C products and/or B2B marketplaces.
Culture & Benefits
Value diversity and welcome applicants from all backgrounds.
An equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability.
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