Data Scientist/Product Analyst Intern (Boulder, CO - Summer 2025)
Description
Role Summary
What you'll get to do
- Work on a short term project combining data science and product management
- Drive visible business impact with concrete goals set by you and your mentor
- Learn about Splunk, both the product and the company
- Work and socialize with other interns and full-time Splunkers
- Collaborate with diverse partners to help them make data driven decisions around how to improve our products
- Grow your technical and business skills
Must-have Qualifications
- Actively pursuing a Bachelor's or Master's degree in Computer Science, Informatics, Statistics, Data Science, Mathematics or a related technical field, and a strong record of academic achievement.
- At least one semester/quarter remaining to complete after the internship
- Available to work 40 hours a week for 12 weeks
Nice-to-have Qualifications
- You possess superb interpersonal and communication skills
- You have strong analytical and problem-solving skills
- You are willing to explore open-ended questions and present compelling arguments using data
- You know how to use Excel, SQL, and visualization tools such as Tableau
- You can apply statistics to real-life business problems
- You can articulate a business case and dissect the value proposition of a product
- You have previous internship in a related field
- Bonus if you can build searches and dashboards in Splunk
- Mon, May 19 - Fri, Aug 8
- Mon, June 2 - Fri, Aug 22
- Mon, June 16 - Fri, Sept 5
Splunk is an Equal Opportunity Employer
Note:
Base Pay is based on a candidate completing 3 years of university or the academic equivalent
Base Pay
SF Bay Area, Seattle Metro and New York City Metro Area
Base Pay: $45 per hour
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay: $41 per hour
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay: $36 per hour
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills, year in school and experience of the candidate. In addition to base pay, this role may be eligible for benefits.
Thank you for your interest in Splunk!