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Presales Data Science Architect – AWS Cloud - Remote

Posted 5 weeks ago
Sales / Business
Full Time
USA

Overview

The Presales Data Science Architect will help grow the Rackspace Cloud data practice by supporting sales of data projects on AWS Cloud, engaging with various stakeholders to propose solutions that achieve business outcomes.

In Short

  • Support sales of data projects on AWS Cloud.
  • Engage with clients to understand their business requirements.
  • Develop proposals and documentation for data solutions.
  • Act as a technical advocate for Rackspace clients.
  • Build trusted advisor relationships with clients.
  • Create High Level Designs and Architectures for solutions.
  • Contribute to the development of Rackspace intellectual property.
  • Work with sales teams to develop account strategies.
  • Maintain communication with clients and stakeholders.
  • Develop and execute professional training plans.

Requirements

  • Experience with Machine Learning/Statistical techniques.
  • Strong problem-solving and analytical skills.
  • Hands-on experience with Python, PySpark, and SQL.
  • Experience with deep learning libraries like TensorFlow or PyTorch.
  • Knowledge of Statistics, Machine Learning, and NLP/NLU.
  • 5+ years of experience as a data scientist.
  • Strong communication and interpersonal skills.
  • Exposure to software engineering principles and Agile methodologies.
  • Ability to communicate complex models clearly.
  • Experience in forecasting and anomaly detection solutions.

Benefits

  • Opportunity to work in a dynamic and innovative environment.
  • Be part of a growing data practice.
  • Engage with a diverse range of clients and industries.
  • Contribute to the development of intellectual property.
  • Professional development opportunities.
Rackspace logo

Rackspace

Rackspace is a leading provider of cloud solutions, specializing in advanced technical support and management of complex AWS-based environments. The company focuses on delivering high-performance, secure, and scalable cloud architectures while ensuring optimal operational efficiency. With a commitment to customer satisfaction, Rackspace empowers its teams to troubleshoot critical issues, implement automation, and lead innovative projects in cloud migration and modernization. The company values technical expertise, collaboration, and continuous improvement, making it a trusted partner for businesses navigating their cloud journeys.

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