Presales Data Science Architect - AWS Cloud

June 19

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Rackspace Technology

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Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• In this role you will be helping to grow the Rackspace Cloud data practice. • You will be the expert in the region and support the sales of our data projects on AWS Cloud. • Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. • This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders. • Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition. • A key aspect of the role is to engage with customers early in their transformation journey to establish Rackspace credentials as a partner. • Work Location: Remote

🎯 Requirements

• Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning • Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations. • You have strong problem solving, analytic, decision-making capabilities and excellent communication with interpersonal skills. • You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes. • You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop. • Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU. • You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies. • 5+ years of experience as a data scientist and have applied industry experience in NLP/NLU, Forecasting and Anomaly detection solution development.

🏖️ Benefits

Information on benefits offered is here.