Director, Data Science

Multiple Locations

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PagerDuty Inc.
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Posted 1 month ago

Together we’re building a company that will endure and products people will love for generations to come. 
We believe that people do their best in a culture that fosters inclusion, innovation, and success. Our values - Champion the Customer, Take the Lead, Run Together, Ack + Own and Bring Yourself - serve as the foundation of our collaborative and dynamic culture. 
Whether it’s conducting a retrospective, participating in our monthly Hackdays, cranking out a new product feature, supporting our two PagerDuty bands, or doing our day to day work, Dutonians live and breathe these five values every day. Together, we solve real customer issues and fulfill our mission of connecting teams to real-time opportunities and elevate work to the outcomes that matter.
Solve for what’s next—at PagerDuty.
We are seeking an experienced strategic technical leader who will work closely with our Product & Engineering organization with the goal of leveraging our unique human and machine IT operations data to innovate and create value for our customers. You will be responsible for leading a team of data scientists focused on furthering this goal.
Reporting directly into the SVP, Engineering you will be touching many different areas of interest including data mining, advanced Machine Learning applications for revenue optimization, Statistical Modeling, Predictive Analytics, and Natural Language Processing (NLP) just to name a few.

How You Contribute to Our Vision: Key Responsibilities

  • Coach, mentor, and grow our high performing team of data scientists
  • Create the vision, strategy for the future state of data science and research efforts
  • Bring thought leadership to advance our data science efforts
  • Relentlessly drive focus on both quality and timeliness of delivery 
  • Develop an investment strategy to define, grow, and maintain a best in class data science organization
  • Be a thought leader for internal and external audiences
  • Excellent ability to communicate the vision, strategy, deliverables, and results of our data science efforts
  • Cross-functional partnership across Product, Engineering, Marketing to collaborate on strategy to achieve the outcomes we expect

About You: Skills and Attributes

  • Unending passion for actively coaching, mentoring team members
  • Enable your most talented people to thrive by supporting career growth
  • Effectively challenge what you see in service of continuous improvement
  • Results driven approach to strategy, investment, execution, and deliveryInfluence and impact without direct authority
  • Strong business acumen coupled with technical proficiency

Minimum Requirements

  • Bachelor’s degree in related fields or equivalent through work related experience
  • 10+ years experience in data science, machine learning, or related disciplines
  • 7+ years experience having direct reports in data science teams and research practices
Job tags: Data Mining Engineering Machine Learning Marketing NLP Research