2 дня назад
Principal Data Scientist, Detection (AI)
215 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist, Detection (AI): Lead the research, design, and evaluation of detection models for automated, fraudulent, and malicious activity across Internet-scale data with an accent on fraud and bot detection, applied statistics, machine learning, and noisy ground truth. Focus on defining detection measurement frameworks, driving AI/ML adoption, mentoring data scientists, and shaping cross-functional detection strategy.
Location: Hybrid; available in New York or London
Salary: $215,000–$270,000 annual salary for New York City-based hires; compensation may vary by work location.
Company
builds and operates a global network and security platform that protects and accelerates Internet applications, websites, and other online services.
What you will do
- Lead research, design, and evaluation of detection models identifying automated, fraudulent, and malicious activity at Internet scale.
- Define detection metrics and evaluation strategies for problems with noisy, delayed, contested, or missing ground truth.
- Mentor others in identifying behavioral patterns that distinguish adversaries from legitimate users.
- Drive adoption of promising AI and machine learning techniques and contribute to the broader research community.
- Partner with ML Engineers, Data Engineers, and Product teams to influence roadmaps and align detection strategy with company priorities.
- Shape long-term detection strategy across multiple product areas.
Requirements
- 8–10 years of professional experience in Data Science, ML Engineering, or Software Engineering.
- Experience with fraud, abuse, and/or bot detection on large, high-velocity traffic.
- Strong applied statistics, machine learning, AI methodology, and large-scale data fundamentals.
- Ability to make ambiguous, high-stakes technical decisions with incomplete information.
- Production experience with Python and SQL.
- Ability to work in a hybrid setup in New York or London.
Nice to have
- Experience building detections with weak, delayed, absent, or adversarial labels.
- Understanding of how detection deployment can affect future signal visibility.
- Strong programming and engineering practices in research and production code.
- Ability to connect technical work to business impact and communicate with technical and non-technical stakeholders.
Culture & Benefits
- AI-native, iterative environment focused on curiosity, experimentation, and shared learning.
- Medical, dental, and vision insurance, flexible spending accounts, and mental health support.
- Retirement savings plan, employee stock participation, disability, life, and accident insurance.
- Flexible paid time off covering vacation and sick leave, plus parental, pregnancy, medical, and bereavement leave.
- Global travel medical insurance and family-forming benefits.
Hiring process
- Candidates progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
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