About this opportunity
IMPACT Technology Recruiting lists this Data Scientist (AI) opportunity in phoenix, Arizona. Review the employer’s description below for duties, qualifications and application requirements.
Job description
A leading environmental services company is hiring an AI-focused Data Scientist to join its growing AI and data science team. This team develops customer-facing and internal AI solutions that improve decision-making, customer experiences, and business processes across the organization.
This is not a traditional Data Scientist role. The ideal candidate will have strong data science fundamentals combined with hands-on AI engineering experience. They need someone who has built and deployed production GenAI applications.
The role will focus primarily on building new AI products and proofs of concept while also improving and maintaining existing production solutions. You will work closely with data scientists, analytics engineers, full-stack engineers, and business stakeholders to develop AI capabilities that are scalable, reliable, and useful to the business.
What You’ll Be Doing
Build and deploy production-ready GenAI and LLM applications
Develop new AI products, capabilities, and proofs of concept
Improve existing customer-facing and internal AI solutions based on user feedback
Perform prompt engineering, testing, optimization, and debugging
Evaluate AI performance, accuracy, business impact, and overall solution quality
Identify and resolve issues involving hallucinations, embeddings, vector search, semantic retrieval, bias, drift, data quality, and model assumptions
Develop well-structured, maintainable solutions using Python and SQL
Push prompt updates and backend changes into production
Raise pull requests, participate in code reviews, and work directly with production code
Partner with full-stack engineering and IT teams to integrate AI capabilities into downstream systems
Conduct experimentation, hypothesis testing, and measurement to determine whether AI solutions are delivering value
Translate business requirements into practical AI solutions
Clearly communicate findings and recommendations to technical and non-technical stakeholders
Document solution design, assumptions, data definitions, limitations, and performance
Support future agentic AI initiatives and other emerging AI use cases
Required Qualifications
3 or more years of professional experience in data science, machine learning, AI engineering, or a related field
Hands-on experience building and deploying GenAI or LLM applications in a production environment
Strong prompt engineering experience, including prompt testing, optimization, and debugging
Advanced Python skills
Strong working knowledge of SQL and relational data concepts
Experience deploying AI or machine learning solutions in a cloud environment
Strong understanding of data science fundamentals, including statistical analysis, model evaluation, experimentation, and performance measurement
Experience working with Git, CI/CD pipelines, pull requests, and code-review processes
Ability to write readable, well-organized, and maintainable production code
Experience collaborating with software engineers or full-stack engineering teams
Ability to work directly with business stakeholders and translate business problems into technical solutions
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Management, or another analytical field
Preferred Qualifications
AWS experience, particularly with services used to build and deploy AI applications
Experience with RAG, embeddings, vector databases, semantic search, or retrieval-based AI applications
Snowflake experience
Experience with Node.js or backend application development
MLOps or model-monitoring experience
Agentic AI experience
Experience building customer-facing AI products
Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code
Master’s degree in an analytical or technical field
This is a great opportunity for someone who has a solid data science foundation but enjoys working closer to AI product development and engineering. The position requires working onsite in Phoenix four days per week.
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Worksite address
phoenix, AZ, 85003, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.