Data Science Engineer V

🕒 October 5

🇺🇸 United States – Remote

💵 $165.8k - $243.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Rackspace Technology

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

Consulting • Logistics • Artificial Intelligence

Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.

📋 Description

• Own complex, cross-cutting statistical/ML and generative AI initiatives addressing high-impact clinical and business problems • Set technical direction for the area and lead design reviews • Mentor junior and mid-level data scientists on modeling, R/Shiny best practices, and responsible-AI practices • Architect and own end-to-end delivery of complex statistical/ML and generative AI initiatives • Architect and own delivery of complex Shiny applications and R-based analytical tools • Own human-in-the-loop validation processes for high-stakes models in partnership with clinical SMEs • Own bias, safety, and explainability evaluations for AI outputs, with particular attention to pediatric-population risk • Partner with Research PIs on study design, analysis planning, and interpretation of complex results • Advise on HPC/research-computing resources for compute-intensive modeling work • Build tools and libraries that scale data science products across multiple teams • Partner with clinicians and business owners to define and prioritize high-impact problems

🎯 Requirements

• Bachelor's degree (or higher) in a STEM field, or equivalent experience • 6–9 years of experience in data science, with significant project ownership • 4–6 years of hands-on experience building and productionizing ML/generative AI solutions • 4–6 years of hands-on experience with R, RStudio, and Shiny application development, including production-grade interactive tools • 1+ year informally mentoring data scientists • Deep experience with responsible-AI evaluation in a pediatric/clinical setting • Experience with fine-tuning or advanced RAG/agentic architectures • Experience running analyses in an HPC or research-computing environment for large-scale or computing intensive studies • Established working relationships with Research PIs, including study-design or analysis-planning input • Advanced expertise in statistics, ML, and data mining • Advanced expertise in R and RStudio • Deep understanding of generative AI/LLM architecture • Deep understanding of HPC/research-computing workflows • Ability to independently design bias/safety evaluation frameworks for pediatric populations • Ability to mentor mid-level and junior data scientists • Ability to present technical work to cross-functional groups of 5–10 people

🏖️ Benefits

• Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Benefits offered by Rackspace Technology • Equal employment opportunity and disability/special-need accommodation