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Presales Data Science Architect - AWS Cloud
Rackspace
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
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.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Rackspace Benefits
Work From Home 
Job Training 
Health Insurance 
Soft Skill Training 
Team Outings 
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