Senior Data Science Engineer - Generative AI & Shiny Lead

Pace Industries, LLC; United States; Remote; USD 165,000 - 243,000; Full time

Job summary

Rackspace Technology is seeking a senior Data Scientist to lead cross-cutting statistical/ML and generative AI initiatives, setting technical direction and mentoring data scientists. You will partner directly with clinical and business leaders to drive high-impact AI solutions.

Ideal candidates have 6–9 years in data science with production experience, strong R/RStudio/Shiny skills, and a track record mentoring others. Emphasis on responsible‑AI and collaboration across teams.

Qualifications

• Bachelor's degree in STEM or equivalent experience.
• 6–9 years in data science with project ownership.
• 4–6 years hands-on building and productionizing ML/generative AI solutions.
• 4–6 years hands-on experience with R, RStudio, and Shiny production‑grade apps.
• 1+ year mentoring data scientists.

Responsibilities

• 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 with clinical SMEs.
• Own bias/safety/explainability evaluation for owned AI outputs, focusing on pediatric populations.
• Partner with Research PIs on study design, analysis planning and interpretation of results.
• Advise on HPC/research‑computing resources for compute‑intensive modeling work.
• Build tools/libraries that scale data science products across teams.

Skills

Advanced statistics

Machine learning

Data mining

R

RStudio

Shiny

Generative AI/LLMs

Mentoring data scientists

HPC/research computing

Bias/safety evaluation

Education

Bachelor's degree in STEM

Tools

RStudio

Shiny

Job description

Rackspace Technology is seeking a senior Data Scientist to lead cross-cutting statistical/ML and generative AI initiatives, setting technical direction and mentoring data scientists. You will partner directly with clinical and business leaders to drive high-impact AI solutions.

Ideal candidates have 6–9 years in data science with production experience, strong R/RStudio/Shiny skills, and a track record mentoring others. Emphasis on responsible‑AI and collaboration across teams.