Why We Need You:

We’re looking for a Senior Data Scientist and a proven leader passionate about building machine learning models with big data in production successfully. We expect you to collaborate with product, data-engineers and full-stack engineers to drive alignment on ML/AI-driven features at PagerDuty. If you are technical, creative, future-focused, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.

How You Contribute to Our Vision: Key Responsibilities

• Build data driven solutions to solve business critical problems across multiple domains by developing statistical and machine learning methods on top of PagerDuty’s data infrastructure.
• Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value
• Influence leadership to drive more data-informed decisions
• Communicate, align and drive interest within the entire organization to be more data driven 
• Provide guidance, technical leadership, and mentoring to other members of the team
• Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt

Minimum Requirements

• Graduate degree in computer science, statistics, mathematics, or related quantitative field.
• You have 5+ years using machine learning and statistical analysis for building data-driven product solutions for large scale systems at the production level. 
• Hands on experience in Python, SQL and other related tools.  Python is a must; C++ Java are nice to have.  Should be able develop ML features in Python for Deep Learning or Scala
• 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 a timely delivery