Senior Data Scientist

Engineering San Jose, 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 meaningfully to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!


About the Role:

The Data Scientist role involves working on all the stages of the data science pipeline, from acquiring and understanding the data, modeling various algorithms, performing evaluation of the performance of algorithms but also implementing these solutions in a commercial product either as standalone code or in existing ML frameworks like Spark/MLib. The emphasis of the work will be security but there will be also aspects like understanding user behavior, advanced analytics and visualization.


Key Responsibilities:


  • Understand various types of data, with emphasis on enterprise security and enterprise fraud.
  • Closely interact with the security research team as well as product management to derive requirements for how the data should be processed and what we are looking for
  • Research, evaluate and implement statistical methods to track security metrics
  • Quick prototyping and evaluation of multiple solutions using frameworks like python/Spark
  • Implementation of the solutions in a product environment
  • Derive data insights and bring them back to the product management team
  • Strive to find the best ways to visualize the data and the results


Required Experience/Skills & Education:


  • CS background or otherwise Statistics/Math is a must
  • Ability to code in Java or Scala, or python, ideally for 5+ years is a must.
  • Machine Learning is a strong plus
  • Domain expertise in Security or Fraud is a strong plus
  • Data science working experience in Spark/MLlib specifically is a strong plus
  • Should have worked on concrete projects/use cases. Previous experience with code development processes and tools (version control systems, etc) an added plus.
  • Experience working with large datasets, preferably using tools like SQL, Hadoop, MapReduce, Pig, Hive an added plus
  • Experience with graph algorithms an added plus


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 you are 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!