Applied Scientist

About NetApp

We’re 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?

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." -George Kurian, CEO

Job Summary

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

• 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 are driven through data intelligence. 
• 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 with deep learning approaches preferably in the area of Natural Language Processing 

Education

• Bachelor’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field with 5-8 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.

• Bachelor’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field with 5-8 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.

Did you know…
Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.

Why NetApp?

In a world full of generalists, NetApp is a specialist. No one knows how to elevate the world’s biggest clouds like NetApp. We are data-driven and empowered to innovate. Trust, integrity, and teamwork all combine to make a difference for our customers, partners, and communities. 
 
We expect a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations.  We provide comprehensive medical, dental, wellness, and vision plans for you and your family.  We offer educational assistance, legal services, and access to discounts. We also offer financial savings programs to help you plan for your future.  
 
If you run toward knowledge and problem-solving, join us.