Senior Presales Data Science Architect – AWS Cloud (Remote)

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Job Summary:

Rackspace is a multicloud solutions expert that combines its expertise with leading technologies to deliver end-to-end solutions. The Presales Data Science Architect – AWS Cloud will support sales of data projects on AWS Cloud, work directly with the sales team, and engage with customers to propose solutions that achieve business outcomes using data transformation and modernization strategies.

Responsibilities:

• Solutions and positions solutions for customers.

• This is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.

• You are responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.

• Is considered a thought leader and develops IP & collateral for data and analytics.

• Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs.

• Client Facing Sales Support – Works with sales account team, interfacing directly with the Rackspace prospects and customers.

• Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions.

• Develops High Level Designs and Architectures – Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.

• Create Proposals – Develop proposals, SOWs (Statements Of Work), business cases and RFP responses.;

• Sales Planning – Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status.

• Partner Relationship Management – Develop healthy and trusted relationships with key partners in the geography.

• Intellectual Property Development – Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements.

• Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead.

• Training – Develop and execute a professional plan that will enhance skills.

• Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects

Qualifications:

Required:

• 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.

Company:

Rackspace Technology is a leading end-to-end hybrid cloud and AI solutions company. Founded in 1998, the company is headquartered in San Antonio, Texas, USA, with a team of 5001-10000 employees. The company is currently Late Stage.