Data Scientist Ping Identity
THIS JOB HAS EXPIRED Job Summary
You get lost in data. You see trends where no one else does. ?Big Data? isn?t just a buzzword to you, it?s a mountain of raw material in which to build and tell a story. You prove your points of view with researched, concrete data and analysis. You spend days and days pouring over metrics and analytics, and can?t get the ideas out of your head when you sleep at night.
You?re job as part of the SaaS Operations Team is to understand every facet of our customer?s experience. What customers like, what they don?t like, and how we can continuously improve our services. You?ll be the go-to person for sales teams, executives, operational planning, and marketing when they need to know details about our customers.
Our DevOps Team runs on data. We have tons of it, and we need someone smarter than us to pull together all these metrics. What should we measure? What is working? What should we do more of? These are a few questions you would help answer. Collaborating with a multi-disciplinary team of product, engineering, sales and marketing, you would bring analytical rigor and statistical methods to the challenges of scaling a SaaS business.
Experience with data analysis and communicating findings to internal stakeholders
A passion for math and science
Experience with data querying languages like SQL, CQL, Solr
Building and scaling analytics systems
Experience with programming languages (Ruby, Python, Java, etc)
3 Years Professional Experience
BS in Computer Science, Mathematics, or related scientific fields.
Experience with enterprise reporting tools (Cognos, Pentaho)
Experience with statistical analysis (R, SAS)
Experience with Cassandra, MySQL, and Splunk
Experience working with SaaS Applications, customer experience, click-pathing
The compensation and benefits will be both comprehensive and competitive.
THIS JOB HAS EXPIRED