Presales Data Science Architect – AWS Cloud

Rackspace Technology; United States; Remote; USD 187,000 - 384,000; Full time

Job summary

Rackspace Technology seeks a Pre-sales Data Architect to lead consultative engagements and support sales of data projects on AWS Cloud. The successful candidate will possess extensive data science expertise, engage with clients, and develop innovative solutions to drive data transformation. This remote role offers competitive compensation with growth opportunities in a dynamic multicloud environment.

Benefits

Flexible working hours

Health and wellness programs

Continuous learning opportunities

Qualifications

• 5+ years of experience as a data scientist.
• Experience with traditional and modern machine learning techniques.
• Strong analytical and problem-solving skills.

Responsibilities

• Engage with clients to understand their business requirements related to data solutions.
• Create and document high-level designs and architectures.
• Develop proposals and respond to RFPs.

Skills

Machine Learning

Statistical techniques

Python

SQL

Problem Solving

Data Engineering

Education

Bachelor's Degree in Computer Science

Tools

TensorFlow

PyTorch

Spark

Hadoop

Job description

Job Summary:In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the sales of our data projects on AWS Cloud. Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with our sales team to propose solutions to customers to achieve business outcomes using AWS Cloud.

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.

Work Location: Remote

Key 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:

• 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.

Discover your inner Racker: Racker Life

Travel

• As per business requirements

Sponsorship

• This role is not sponsorship eligible
• Candidates need to be legally allowed to work in the US for any employer

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.

#LI-VM1

#LI- REMOTE

#LI-USA

#rackspace

The following information isrequiredby pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information appliesonlytoindividuals working inthese states.

The anticipated startingpayrangeforColoradois: $187,200 - $ 329,230

The anticipated startingpayrangefor Hawaii and New York (not including NYC)is: $198,500 - $349,030

The anticipated startingpayrangefor California, New York City and Washingtonis: $218,300 - $383,900

Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.

These discretionary payments are based on company and/or individual performance, and may change at any time.

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience,licenses and certifications,and specific work location.

Informationonbenefitsoffered ishere.