Rackspace Technology

Practice Manager, Data Science, AI & ML

Rackspace Technology

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $128,300 - $213,800 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Practice Managers lead a group of Rackers in Data science, AI, and ML practice
  • Drive projects that deliver successful outcomes for customers in Data science and AI/ML
  • Create technical definitions around customer objectives in complex situations
  • Motivate & mobilize resources, provide technical guidance, and deliver results
  • Mentor and assist the development of direct reports including Data Science Architects, Data Scientists, ML engineers
  • Support sales teams with shaping and reviewing opportunities
  • Build and maintain AWS alliance and partner relationships
  • Foster an aspirational working culture within the team
  • Conduct deep-dive “hands-on” education/training sessions
  • Travel up to 50% of the time

Requirements

  • 12+ years of experience in customer-facing software/technology, data analysis, or consulting.
  • Minimum 7+ years of experience architecting and building Data science and AI solutions.
  • Minimum 6+ years of experience with AWS or other public cloud Data Science solutions
  • In-depth understanding and professional experience with AWS Data Analytics and AI/ML Services
  • Demonstrated knowledge of software development tools and methodologies
  • Solid understanding of agile methodologies
  • Master or Ph.D. in Computers and/or Data Science.
  • AWS, Azure or GCP Certified ML Certified Specialist
Benefits
  • incentive compensation opportunities in the form of annual bonus or incentives
  • equity awards
  • Employee Stock Purchase Plan (ESPP)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data scienceArtificial IntelligenceMachine LearningData analysisAWSCloud Data Science solutionsData AnalyticsAgile methodologiesSoftware development toolsTechnical guidance
Soft skills
LeadershipMotivationMentoringCommunicationTeam buildingResource mobilizationCustomer-facingEducation/trainingCultural fosteringResults delivery
Certifications
AWS Certified ML SpecialistAzure CertifiedGCP CertifiedMaster's degree in ComputersPh.D. in Data Science
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