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Senior Applied Scientist

https://www.pagerduty.com Logo

PagerDuty

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Location:
Portugal , Lisbon

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Half of the Fortune 500 and nearly 70% of the Fortune 100 trust PagerDuty as essential infrastructure. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace. We’re looking for a Senior Applied Scientist and a proven leader passionate about leveraging the latest AI techniques to build customer-facing product features that solve complex operations challenges. We expect you to collaborate with product managers, ML engineers and development teams to drive alignment on ML/AI-driven features at PagerDuty and deliver impact to our customers. If you are technical, creative, team-oriented, 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.

Job Responsibility:

  • 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 stakeholders, other engineers and Product
  • Experience working with Engineering teams ensuring a timely delivery

Nice to have:

  • Desire to keep learning new concepts and adapting to the start-of-the-art
  • Experience shipping reliable and scalable AI/ML products and monitoring usage/performance/impact
  • Prior experience in a SaaS environment
  • Experience converting research work and POC’s into new customer-facing products and features
  • Prior record of published work in technical forums, contributions to open source projects, or research innovations
What we offer:
  • Competitive salary
  • Comprehensive benefits package from day one
  • Flexible work arrangements
  • Company equity
  • ESPP (Employee Stock Purchase Program)
  • Retirement or pension plan
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)
  • Paid volunteer time off: 20 hours per year
  • Company-wide hack weeks
  • Mental wellness programs

Additional Information:

Job Posted:
April 24, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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