Applied Scientist

at  NetApp

IF YOU RUN TOWARD KNOWLEDGE AND PROBLEM-SOLVING, JOIN US

In a world of cloud complexity, NetApp simplifies. Our customers are looking for a more unified and secure multicloud experience, and we provide the services, infrastructure and expertise they need to achieve it.
If you want to have a real impact, NetApp is the place for you. You’ll make a difference—while still maintaining a healthy work-life balance. Who are we? Forward-thinking technology people with a heart. Join us.

JOB SUMMARY

We are forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea?
NetApp is seeking a capable Data & Applied Scientist to join the Research and Data Science team under the Data Services organization. The overarching vision of this organization is to empower organizations to effectively govern their data estate to accelerate their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As part of this initiative, the Data & Applied Scientist will be responsible for developing and implementing cutting edge AI/ML algorithms/frameworks across the key pillars of data protection, privacy and compliance.

JOB REQUIREMENTS

• Bachelor’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field with 2+ years of relevant industry experience in machine learning, with a strong track record of shipping successful AI/ML products at scale OR
• Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field with 0+ years of relevant industry experience in machine learning.
• Strong understanding of supervised and unsupervised machine learning techniques and algorithms, and experience shipping them in production.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
• Experience in shipping successful AI/ML products at scale is preferred.

DID YOU KNOW…

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• Develop supervised/unsupervised machine learning and deep learning models across the areas of general machine learning and natural language processing.
• Assist with the design and development of large and complex proof-of-concepts and development of end-to-end ML pipelines.
• Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences.
• Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.