Presales Data Science Architect – AWS Cloud
To see similar active jobs please follow this link: Remote Development jobs
This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.
Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered.
A key aspect of the role is to engage with customers early in their transformation journey toestablish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.
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
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
About the job
Presales Data Science Architect – AWS Cloud
To see similar active jobs please follow this link: Remote Development jobs
This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.
Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered.
A key aspect of the role is to engage with customers early in their transformation journey toestablish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.
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
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.