Senior Data Scientist


Job Description

What type of work will you be doingWhat assignments, requirements, or skills will you be performing on a regular basis

You will have two key focus areas outlined below:

  • Solve complex ML problems in collaboration with Engineering / Product / Business teams
    • Proactively engage with stakeholders across different internal teams to identify ML related use cases
    • Deliver 3-4 impactful ML models every year across diverse domains within VMware (IT automation, Information security, Sales Marketing, Operations, Finance etc)
    • Collaborate with engineers in the implementation and deployment of ML pipelines (data ingestion, feature extraction, training, testing and validation, inference, and continual learning) in production
  • Contribute to the Applied ML research and innovation goals
    • 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
    • Knowledge sharing mentoring other team members on best ML practices and latest techniques
    • Co-author 1-2 papers every year, in collaboration with Staff/Principal Data Scientists in the team
    • File 1 new patent every year based on the Applied ML projects developed in collaboration with Product

What you bring:

  • Master s degree preferably in Machine Learning, Statistics, Applied Math, or other quantitative fields
  • Hands on skills in SQL industry-standard machine-learning stack in Python/R (pandas, sklearn, tf, ..)
  • Experience in implementing ML models, data pipelines and testing frameworks for production use
  • Working experience in analytics, data mining, and/or predictive modeling, and data interpretation

Key Skills

Vista; VMware; Automation; Information security; Machine learning; HTML; HTTP; Data mining; SQL; Python

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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