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 hiring Data Scientists and Engineers who are passionate about solving practical business questions with data-driven analytics.

Role:

As a Data Scientist/Engineer, you will execute quantitative assessments and analytics that provide context and data-driven evidence to answer business questions. This will encompass identifying and parsing data, conducting exploratory analysis, identifying and visualizing trends, building and validating models, and translating quantitative assessments into actionable insights.

Responsibilities:

• Develop and execute analysis plans
• Identify and build systematic data pipelines
• Develop and maintain methods to retrieve, condition, validate, synthesize, and manipulate data
• Conduct exploratory analysis
• Identify and visualizing trends
• Build and validate models
• Iterate, document, and communicate throughout problem lifecycle 

Requirements:

• Passion for solving practical data-driven business questions
• Self-starter with a demonstrated track record of critical thinking translated into concrete products
• MS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience
• 5+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.)
• Strong software engineering skills in an interpreted language
• Experience manipulating and interpreting large and diverse datasets
• Strong understanding of statistical methods and software packages
• Excellent communication and collaboration 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.