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Presales Data Science Architect - AWS Cloud

Presales Data Science Architect - AWS Cloud

Rackspace TechnologySan Antonio, TX, US
30+ days ago
Job type
  • Full-time
Job description

Employer Industry : Multicloud Solutions

Why consider this job opportunity :

  • Salary up to $383,900
  • Opportunity for career advancement and growth within a leading technology firm
  • Work remotely with flexibility in your schedule
  • Engage in innovative projects with cutting-edge technology
  • Strong emphasis on professional development and skill enhancement
  • Be part of a collaborative and diverse work environment committed to equal opportunity

What to Expect (Job Responsibilities) :

  • Serve as a technical advocate for clients, understanding their business requirements related to data solutions
  • Develop high-level designs and architectures to address client business problems
  • Create proposals, Statements of Work (SOWs), and business cases for client projects
  • Build trusted relationships with clients and partners, providing consultative support
  • Contribute to the development of intellectual property and industry recognition through white papers and speaking engagements
  • What is Required (Qualifications) :

  • Minimum of 5+ years of experience as a data scientist with expertise in NLP / NLU, forecasting, and anomaly detection
  • Proficiency in Python, PySpark, SQL, and experience with deep learning libraries like TensorFlow and / or PyTorch
  • Strong analytical and problem-solving skills, with the ability to communicate complex models clearly
  • Knowledge of traditional and modern machine learning / statistical techniques
  • Familiarity with software engineering principles and Agile methodologies
  • How to Stand Out (Preferred Qualifications) :

  • Experience with Spark and / or Hadoop
  • Demonstrated ability to develop reusable and efficient code for machine learning pipelines
  • Strong interpersonal skills and the ability to work collaboratively with sales teams
  • MulticloudSolutions #DataScience #RemoteWork #CareerGrowth #InnovativeProjects

    We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

    We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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