Senior Applied Scientist

Posted 6 Days Ago
Easy Apply
Be an Early Applicant
Lisbon
Hybrid
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Empowering teams of all kinds to do the critical work that moves business forward through the PagerDuty Operations Cloud
The Role
The Senior Applied Scientist will build ML models, collaborate with teams, influence data-driven decisions, and mentor others in AI use-cases.
Summary Generated by Built In

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.

**PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

This role is expected to come into our Lisbon office 1 day per month, so you can thrive in your new role and fully embrace being a Dutonian!**

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.

Minimum Requirements:

  • Graduate degree in computer science, statistics, mathematics, or related quantitative field.
  • You have 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

Preferred Requirements: 

  • 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.

Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!

Where we work

PagerDuty currently has offices in Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. We offer a hybrid, flexible environment. We also provide ample opportunities for connection, like team offsites and volunteering events.

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

- 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

*Eligibility may vary by role, region, and tenure


About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud. The PagerDuty 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.

PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. 

Go behind-the-scenes on our careers site and @pagerduty on Instagram.

Additional Information

PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.

Top Skills

Python
SQL

What the Team is Saying

Kurt
Alan
Anne
Jen
Hannah
Suzan
Jhanae
Ben
Kyle
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Atlanta, GA
1,200 Employees
Hybrid Workplace
Year Founded: 2009

What We Do

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud. The PagerDuty 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.

PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.

Go behind-the-scenes at careers.pagerduty.com and @pagerduty on Instagram.

Why Work With Us

PagerDuty offers a hybrid, flexible environment where ambition thrives. We champion innovation, learning, and growth through our core values: Champion the Customer, Take the Lead, Run Together, Ack & Own, and Bring Your Self. Join us!

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

PagerDuty Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We offer a hybrid, flexible workplace, while also providing ample opportunities for connection in-person and virtually with your colleagues.

Typical time on-site: 1 days a week
Company Office Image
Atlanta, GA
Company Office Image
Lisbon, PT
Company Office Image
London, GB
Company Office Image
San Francisco, CA
Company Office Image
Santiago, CL
Company Office Image
Sydney, NSW
Company Office Image
Tokyo, JP
Company Office Image
Toronto, Ontario
Learn more

Similar Jobs

PagerDuty Logo PagerDuty

Renewal Manager

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Easy Apply
Hybrid
Lisbon, PRT
1200 Employees

PagerDuty Logo PagerDuty

Senior Front-End Engineer (React)

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Easy Apply
Hybrid
Lisbon, PRT
1200 Employees

PagerDuty Logo PagerDuty

Principal Customer Success Manager

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Easy Apply
Hybrid
Lisbon, PRT
1200 Employees

PagerDuty Logo PagerDuty

Business Development Representative - Spanish Speaking

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Easy Apply
Hybrid
Lisbon, PRT
1200 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account