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Senior Data Scientist Leader
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**Company Overview**
PagerDuty, Inc. is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud.
The Operations Cloud combines AIOps, Automation, Customer Service Operations and Incident Management with a powerful generative AI assistant to create a flexible, resilient and scalable platform to increase innovation velocity, grow revenue, reduce cost, and mitigate the risk of operational failure.
Half of the Fortune 500 and nearly 70% of the Fortune 100 rely on PagerDuty as essential infrastructure for the modern enterprise.
Key Responsibilities:
- Build production-grade ML models and AI-powered solutions to business critical challenges across multiple domains on top of PagerDuty's data infrastructure.
- Work both independently and collaboratively with other applied scientists, product managers, engineers, and designers to solve complex problems that deliver business value.
- Influence leadership and stakeholders to drive more data-informed decisions and to identify impactful AI use-cases across our products.
- Communicate, align and drive interest within the entire organization to be more data driven.
- Provide guidance, enablement, technical leadership, and mentorship to other members of the organization.
- Lead research initiatives using generative AI, agents and traditional ML techniques.
- Proactively recommend improvements and new approaches to ensure continuous improvement across our existing models and services and tackling technical debt.
Requirements:
- Graduate degree in computer science, statistics, mathematics, or related quantitative field.
- 7+ years using machine learning and statistical analysis for building data-driven product solutions for large scale systems.
- Hands-on experience in Python, SQL and other related tools.
- Have an entrepreneurial mindset to drive research projects to completion with minimal guidance.
- Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers and Product.
- Experience working with Engineering teams ensuring timely delivery.
