Applied Scientist

Engineering San Francisco, California


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!

Splunk’s Applied Research Group builds and deploys the mathematical models underpinning Splunk’s core products. We tackle a spectrum of problems across optimization, inference, forecasting, time series modeling, log mining. We are hiring motivated Scientists across all these areas.

The ideal candidate will be a critical thinker who is passionate about building and deploying mathematical models for challenging problems and is excited to work in a fast paced environment.

Role:                                                                                             

As an Applied Scientist in Splunk’s Applied Research Group you will be responsible for developing new intelligence around our core products through applied research. You’ll work closely with our top engineering and product teams to identify and work on next generation product features and functions to drive product innovation and industry disruption.

Responsibilities:

  • Work closely with Engineering, Product andCustomers to scientifically frame the business problems and come up with the underlying mathematical models.
  • Perform exploratory data analysis to gain deeperunderstanding of the data.
  • Develop and test statistical and machine learning models.
  • Write production quality code to build models and work with Software Engineering teams to deploy them in production.

Requirements:

  • Outstanding quantitative background: PhDin Computer Science, Statistics, Math, Physics or other technical field preferred.
  • Strong understanding of modern machine learning techniques and their mathematical concepts.
  • 1-2+ years of professional experience in research, data science or engineering around build and shipping machine learning or statistical models.
  • Self starterwith a passion and curiosity for solving unstructured mathematical problems
  • Excellent software engineering skills in an interpreted language like Python, R or MATLAB

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.

Thank you for your interest in Splunk!