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About Splunk:

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are seeking a Principal Data Scientist/Engineer who is passionate about framing and solving practical business questions with data-driven analytics.


As a Principal Data Scientist, you will partner with Splunk leaders to articulate crisp business questions and develop the architecture and methodologies needed to execute quantitative assessments and analytics that provide context and evidence to answer these questions. This will encompass creating a collaborative environment with other scientists and engineers to use quantitative analysis and data presentation to uncover the factors that drive business solutions. You will help architect and build the analytical experiments, models, reports, and dashboards and translate quantitative assessments into actionable insights.


  • Structure business questions and develop analysis plans
  • Lead analysis projects and guide other analysts/engineers
  • Ensure production quality methods to retrieve, condition, validate, synthesize, and manipulate data
  • Structure and build analytical experiments, models, reports, and dashboards using statistical and other quantitative analytical methods
  • Create order from chaos - provide structured solutions for ambiguous problems 
  • Translate metrics and analytics into digestible products that inform business decisions
  • Iterate, document, and communicate throughout problem lifecycle 


  • Passion for framing and solving practical data-driven business questions
  • Self-starter with a demonstrated track record of critical thinking translated into concrete products
  • Demonstrated ability to work across business stakeholders, structure data science problems, independently execute analysis, and also mentor other engineers/scientists
  • MS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience 
  • 8+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.) including project leadership
  • Deep software engineering skills in an interpreted language
  • Agility manipulating, synthesizing, and interpreting large and diverse datasets
  • Deep experience with statistical methods and software packages
  • Excellent communication, collaboration, and mentoring skills
  • Strong analytic storytelling skills

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.


Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.
Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

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Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

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