Presales Data Science Architect – AWS Cloud

Key Responsibilities

• 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 working 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. 


• Discover your inner Racker: Racker Life

• Fluent, Bi-lingual (Spanish and English): interviews will be held in English.
• Role can work remotely in the states of Ciudad de Mexico, Jalisco, Nuevo Leon, Aguascalientes, Queretaro, Estado de Mexico and Puebla.
• This opportunity is a permanent remote job, but you need to be based in Mexico at one of the above locations.


• #LI-JR1
• #LI-Remote