If you run toward knowledge and problem-solving, join us
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About NetApp
NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.
"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
Applied Scientist
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Bengaluru, Karnataka, India
Job category: Engineering
Job ID: 126836-en_US
Job summary
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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
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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.
• 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.
Education
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• 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.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
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?
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
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