Staff Data Scientist


Job Description

You will have two key focus areas outlined below:

Own the Applied ML research and innovation goals

o File 1-2 patents every year, based on the applied ML models developed in collaboration with IT & Business

o Publish at least 2 papers every year in prestigious journals / conferences (internal & external)

o Follow relevant work being done in academic and other research organizations to be as close as possible to the state-of-the-art in the fields of ML and AI

o Knowledge sharing & mentoring other team members on best ML practices and latest techniques

Solve complex ML problems in collaboration with Engineering / Product / Business teams

o Work with Sr. Management to identify ML opportunities and build a strong project pipeline

o Deliver 3-4 impactful ML models every year across diverse domains within VMware (IT automation, security, customer experience, Sales & Marketing, Operations etc)

o Collaborate with engineers and assist them in the design and implementation of ML pipelines (data ingestion, feature extraction, training, testing and validation, inference, and continual learning) in production

What you bring: (other than your passion for Data Science)

o Masters Degree in Machine Learning, Statistics, Applied Math, or other quantitative fields

o Experience . as a Data Scientist developing and deploying ML models

o Hands on skills in industry-standard machine-learning stack (pandas, numpy, sklearn, Keras, Spark)

o Experience in implementing ML models, data pipelines and testing frameworks for production use

o Working experience in analytics, data mining, and/or predictive modeling, and data interpretation

Key Skills

Vista; VMware; advanced analytics; Automation; Machine learning; Deployment; Marketing operations; Predictive modeling; Research; Data mining

About Company

At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our compute, cloud, mobility, networking and security offerings form a digital foundation that powers the apps, services and experiences that are transforming the world.Since our founding over two decades ago, our 24,000+ employee community and ecosystem of 75,000 partners have been behind the technology innovations transforming entire industries from banking, healthcare, and government to retail, telecommunications, manufacturing, and transportation.

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