Data Science Engineer V

Rackspace Technology

. Own complex, cross-cutting statistical/ML and generative AI initiatives addressing high-impact clinical and business problems .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $165,830 - $243,142 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in statistical modeling, machine learning, and generative AI, with a strong focus on responsible AI practices in clinical settings. Proven ability to mentor data scientists and lead complex projects from design to delivery, ensuring high-impact solutions are achieved.

Highest-signal resume keywords

Statistical ModelingMachine LearningGenerative AIR Application DevelopmentResponsible AI Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine Learning SolutionsGenerative AI ArchitectureR ProgrammingRStudioShiny Application DevelopmentData MiningHPC/Research ComputingBias Evaluation FrameworksPediatric Population Risk Assessment

Soft Skills

MentoringTechnical PresentationCross-Functional Collaboration

Tools & Technologies

RRStudioShinyHPC Resources

Industry Keywords

Clinical Data ScienceResponsible AIData Science ProductsStudy DesignAnalysis Planning

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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