NetApp creates innovative storage and data management solutions that help accelerate business breakthroughs and deliver outstanding cost efficiency. Our dedication to principles of simplicity, innovation, and customer success has made us one of the fastest-growing storage and data management providers today.

Customers around the world choose us for our “go beyond” approach and broad portfolio of solutions for business applications, storage for virtual servers, disk-to-disk backup, and more. Our solutions provide nonstop availability of critical business data and simplify business processes so you can deploy new capabilities with confidence and get to revenue faster than ever before. 

You can rely on our industry-leading solutions to lower the cost of protecting your data, business, and reputation. We bring together the industry’s best partners and technology to deliver services that help you maximize what you are getting from your infrastructure. Our collaborative approach, working as one team with one goal, means that you get a solution that is just right for you—on time and on budget. 

To support your global business, we provide highly-responsive support in local languages. From London to Austin, from Bangalore to Tokyo, we’ll work with you to solve your problems and reach your goals.

Discover our passion for helping companies around the world go further, faster at www.netapp.com.

Interested in working at NetApp? Search our open jobs - www.netapp.com/us/careers/ 

Job Summary

As the leading Data Management company, Netapp is driving a lot of growth and scale for its customers and partners using the Big Data and Data Analytics. The ability to create value out of the IOT data from the world class NetApp storage products and solutions is a key differentiator for business growth. Netapp is looking to hire Data Analytics and Data Science engineers/ architects to pioneer its solutions and scale it for mass adoption.

As a Data Science and Machine Learning Software Engineer you will work as part of a team responsible for building, designing and building Cloud Based (Software as a Service) Platform and Analytics services based on AutoSupport (ASUP)  for NetApp storage products.  As part of the Data Science and Machine Learning team, the overall focus of this group is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market.  As a Data Scientist, you will focus on developing new algorithms for real-time personalized search and recommendation using IOT data.

Essential Functions:

A willingness to work on additional tasks and responsibilities that will contribute towards team, department, and company goals. 

Requirements:

The candidate needs to have previous Data Science and machine learning experience using SparkML/MLlib technologies to solve large-scale problems. A strong understanding of distributed systems and strong experience in using open source framework to build applications is required.

Excellent understanding and implementation experience of Hadoop Architecture, including technologies: 

• Data Storage: HDFS, HBase, HIVE

• Data Processing, Analysis & Integration: Spark, Map Reduce, Impala, Sqoop

• Experience in Agile development methodology

Responsibility: 

Interaction:

Education

Equal Opportunity Employer Minorities/Women/Vets/Disabled.

All your information will be kept confidential according to EEO guidelines.