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Home›Jobs›Rackspace›Data Scientist
Rackspace

About Rackspace

Your partner in managed cloud solutions

🏢 Tech👥 5K-10K📅 Founded 1998📍 San Antonio, Texas, United States

Key Highlights

  • Headquartered in San Antonio, Texas
  • Over 200,000 customers including BMW and NASA
  • $1.5B+ raised in funding
  • Approximately 7,000 employees worldwide

Rackspace Technology, Inc., headquartered in San Antonio, Texas, is a leading managed cloud computing company that provides services such as cloud migration, managed hosting, and multi-cloud solutions. With over 200,000 customers, including major brands like BMW and NASA, Rackspace has raised over $...

🎁 Benefits

Employees enjoy competitive salaries, stock options, generous PTO policies, remote work flexibility, and comprehensive health benefits....

🌟 Culture

Rackspace fosters a customer-centric culture with a strong emphasis on service excellence and innovation in cloud technology, encouraging employees to...

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Rackspace

Data Scientist

Rackspace • Egypt - Alexandria

Posted 3 months agoMid-LevelData scientist📍 Alexandria
Apply Now →

Skills & Technologies

PythonTensorFlowScikit-LearnMachine learningNatural language processingComputer vision

Job Description

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally. 
Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision, MCP servers and AI Agents. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..
If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

Interested in this role?

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