Data Scientist jobs in United States
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Rackspace Technology · 12 hours ago

Data Scientist

Rackspace Technology is a full spectrum AWS integrator assisting companies in realizing the value of cloud technologies. The Data Scientist role involves building data science pipelines, delivering ML models, and optimizing cloud-based architectures to solve real-world business problems.

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H1B Sponsor Likelynote

Responsibilities

Design, develop, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques
Build, deploy, and optimize MCP (Model Context Protocol) servers to extend agent capabilities and enable integration with external tools and APIs
Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability
Implement secure and efficient communication channels between AI agents, MCP servers, and client applications
Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)
Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
Ability to work with structured and unstructured data sets
Deep experience with R or Python, and SQL
Ability to apply supervised and unsupervised machine learning techniques
Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Data labelling, categorization, and structuring techniques
Ability to break down and clearly define problems
Ability to communicate highly technical results to a diverse audience
Excellent analytical and problem-solving skills

Qualification

PythonMachine LearningMCP ServersCloud PlatformsSQLAI Agent FrameworksStatistical ModelingData MiningAnalytical SkillsProblem-SolvingCommunication Skills

Required

5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
5+ years of experience in networking, infrastructure, or database architectures
Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Proven experience in designing and deploying MCP servers or similar protocol-based integrations
Strong software engineering background (Python, Node.js, or similar languages)
Experience with AI agent frameworks (e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)
Solid understanding of LLM orchestration, context management, and retrieval-augmented generation (RAG)
Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)
Familiarity with containerization and deployment (Docker, Kubernetes, or serverless)
Background in cloud platforms (AWS, Azure, GCP) and MLOps workflows
Understanding of security best practices for agent–server interactions (auth, sandboxing, data governance)
Contributions to open-source MCP servers, AI agent frameworks, or LLM plugins
Knowledge of prompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF)
Experience with advanced data science tools
Experience applying computational algorithms and statistical methods to structured and unstructured data
MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field

Company

Rackspace Technology

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Rackspace Technology is a leading end-to-end hybrid cloud and AI solutions company.

H1B Sponsorship

Rackspace Technology has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (26)
2023 (22)
2022 (42)
2021 (52)
2020 (65)

Funding

Current Stage
Late Stage
Total Funding
unknown
2016-08-08Acquired

Leadership Team

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Mark Marino
EVP, Chief Financial Officer
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Company data provided by crunchbase