Senior Applied Scientist, PagerDuty

PagerDuty

Location:
Portugal, Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Senior Applied Scientist