OpenAI23.06.2026

Data Scientist, Identity

Зарплата не указана

РЫНОК

16 250 ₽медиана по профессии

Data Scientist · 212 вакансий с указанной зарплатой

5 000половина предложений: 13 084–21 768120 000

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьSan Francisco

Обязанности

01Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products
02Design and analyze experiments to optimize top-of-funnel performance, including sign up, sign in, onboarding, and account recovery experiences
03Partner with Identity Product and Engineering teams to improve activation, authentication success, and user experience while maintaining appropriate safeguards
04Quantify and communicate trade-offs between growth objectives and abuse prevention outcomes, including risks such as fraud and account takeover
05Develop methodologies to evaluate identity initiatives when randomized experimentation is not feasible, leveraging causal inference and observational analyses
06Establish reporting and executive-facing metrics that provide visibility into Identity health, funnel performance, and emerging opportunities
07Build source-of-truth datasets, dashboards, and analytical systems that enable scalable decision-making across the Identity organization
08Help shape the culture of data-informed decision-making as the first Data Scientist dedicated to Identity

018+ years of experience in product data science, experimentation, product analytics
02Experience owning product funnels and driving improvements through experimentation and measurement
03Strong expertise designing experiments and applying causal inference methods in production environments
04Experience partnering closely with Product and Engineering teams to solve ambiguous, cross-functional problems
05The ability to translate complex analytical findings into clear recommendations for both technical partners and senior leadership
06Advanced proficiency in SQL and Python
07A track record of independently defining metrics, building analytical frameworks, and influencing product strategy