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Rackspace

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3.9

based on 564 Reviews

49 Rackspace Jobs

Presales Data Science Architect - AWS Cloud

Rackspace Technology

3.9

based on 564 Reviews

5-11 years

Remote

1 vacancy

Presales Data Science Architect - AWS Cloud

Rackspace

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Machine Learning Business Analytics Analytical Chemistry Presales

+ 4 more

Job Description

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 etc.
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.
Required Experience
8 - 11 years of experience in the field of role 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.
Other Requirements
Highly motivated self-starter and team player and demonstrated success in prior roles.
Track record of success workng through technical challenges within enterprise organizations
Ability to prioritize deals, training, and initiatives through highly effective time management.
Excellent problem solving, analytical, presentation, and whiteboarding skills.
Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems.
Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations.