Rackspace Us Inc.
Data Science Engineer V - US
US-Work from Home · Senior
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About the role
- About Rackspace Technology Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production.
- We bring our whole selves to work every day.
Responsibilities
- 4-6 years hands-on building and productionizing ML/generative AI solutions.
- Established working relationships with Research PIs, including study-design or analysis-planning input.
- Advanced expertise in statistics, ML, and data mining; independently designs model architectures and evaluation frameworks.
- Advanced expertise in R and RStudio; independently designs and architects production-grade Shiny applications.
- Deep understanding of generative AI/LLM architecture; independently designs RAG/agentic solutions for high-stakes clinical/operational use cases.
- Independently designs bias/safety evaluation frameworks, with rigorous scrutiny for pediatric populations.
- Architect and own end-to-end delivery of complex statistical/ML and generative AI initiatives spanning multiple use cases.
- Architect and own delivery of complex Shiny applications and R-based analytical tools spanning multiple use cases.
- Lead design reviews and set technical direction for own area; mentor junior/mid data scientists.
- Own human-in-the-loop validation processes for high-stakes models within own domain, partnering with clinical SMEs.
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 hands-on experience with R, RStudio, and Shiny application development, including production-grade interactive tools.
- Deep experience with responsible-AI evaluation in a pediatric/clinical setting.
- Experience with fine-tuning or advanced RAG/agentic architectures.
Skills
- Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Compensation
- Our compensation reflects the cost of labor across several geographic markets.
Company info
- And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe.
This listing is sourced directly from Rackspace Us Inc.'s careers page and normalized into a canonical job model.