Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience utilizing relational databases
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
At least 1 year of experience working with machine learning

Senior Solutions Engineer - New York City

NetApp

New York, NY 10001

7+ years of experience in technical pre-sales, solutions engineering, or systems engineering roles.
Based in region; local presence is required to effectively support customers and partners in territory.
Excellent communication and presentation skills, the ability to translate technical capabilities into business outcomes.
Proven experience supporting enterprise or Fortune 1000 customers, ideally within the data storage or infrastructure space.
Familiarity with hybrid cloud architectures, virtualization, and data protection/disaster recovery solutions.
Bachelors Degree, Engineering or Related Fields (not required, experience is just as good!)
Strong technical understanding of on-prem storage technologies (block, file, SAN, NAS) and ecosystem components.