Senior Full-Stack AI and Data Science Engineer

Pearson; Providence (RI); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson is seeking a Software Engineer to join a team building a new platform using a modern tech stack. The role involves rapid learning of new tools, domains like data science and psychometrics, and collaboration with customers to tailor tools to their needs.

You will contribute to an AWS-based cloud environment and emphasize maintainable, secure code. Ideal candidates have 3–5 years of full-stack experience, are comfortable with Agile practices, and can balance speed with quality through

Qualifications

• Bachelor’s degree or equivalent
• 3-5 years of relevant full-stack software development experience
• Experience with highly available, highly concurrent cloud-based Web apps
• AWS hosted applications
• R and R data science libraries
• Github-driven CI/CD

Responsibilities

• Develop and support a new web application stack
• Leverage and refine LLM-codegen processes to balance agility and quality
• Develop and leverage agent-driven AI architectures
• Work closely with customers and adapt tools to their needs
• Develop psychometrics and data science-focused tools in R
• Operate, extend and create cloud-based solutions in AWS
• Develop and maintain code with best practices for maintainability, performance, security, and verifiability
• Quickly learn new processes, tools, and business domains
• Collaborate with engineering leadership to deliver timely, robust software

Skills

Full-stack development

Agile environment

Time management

Written and verbal communication

Rapid learning

Customer collaboration

Education

Bachelor’s degree in CS, MIS, or related

Willingness to learn new tech domains

Tools

AWS

R data science libraries

Github & CI/CD

Cloud-based Web apps

Job description

Pearson is seeking a Software Engineer to join a team building a new platform using a modern tech stack. The role involves rapid learning of new tools, domains like data science and psychometrics, and collaboration with customers to tailor tools to their needs.

You will contribute to an AWS-based cloud environment and emphasize maintainable, secure code. Ideal candidates have 3–5 years of full-stack experience, are comfortable with Agile practices, and can balance speed with quality through