AI Analytics Engineer

Primary location: Remote, Remote

Relocation offered: No

Employment status: Full-Time

Non-compete: No

Location: Work from home position located in Remote, Remote

The estimated base salary range for this role is $85,000 to $115,000 per year. Individual pay is based upon location, skills and expertise, experience and other relevant factors (salary may be adjusted based on geographic location).

It means being immersed in a supportive culture that recognizes you as a key player in Armstrong's future. We are a large company with a local feel, where you will get to know and collaborate with leadership and your colleagues across the company.

By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:

• A benefits package including: medical, dental, prescription drug, life insurance, 401k match, long-term disability coverage, vacation and sick time, product discount programs and many more.
• Personal development to grow your career with us based on your strengths and interests.
• A working culture that balances individual achievement with teamwork and collaboration. We draw on each other's strengths and allow for different work styles to build engagement and satisfaction to deliver results.

AI Analytics Engineer
, you will leverage modern AI technologies to extract actionable insights from complex and imperfect business data. You will design and deploy predictive win-rate models to support sales strategy and develop pricing optimization models that improve deal performance and drive revenue growth.

• Experience building win rate, pricing, and other predictive models from complex business data
• Exposure to applied AI systems and experimentation frameworks
• Mentorship from experienced AI and data professionals, applying AI solutions to real-world business cases
• Growth path into advanced AI, experimentation, or quantitative roles

• Integrate and transform complex data from CRM systems, internal databases, construction documents, project plans, and geospatial sources into reliable, analytics-ready datasets.
• Evaluate data for completeness, reliability, and bias to ensure high-quality, responsible AI and modeling outcomes.
• Develop and deploy predictive models that improve sales effectiveness, deal performance, and revenue growth.
• Extract insights from structured and unstructured data, including technical documents and geographic information, to identify key drivers of margins and competitive positioning.
• Apply AI-assisted development tools to accelerate solution delivery while maintaining high standards of accuracy, transparency, and documentation.

• Proficiency in Python or comparable programming experience, working knowledge of databases (SQL), and source control (Git).
• Strong foundation in statistics and model evaluation, including logistic regression, hypothesis testing, experimental design, and classification metrics (e.g., precision, recall, AUC, calibration)
• Analytical mindset with intellectual curiosity and comfort navigating ambiguity in data quality, definitions, and requirements
• Experience using AI-assisted development tools (e.g., Claude Code, Codex, or similar)
• Ability to clearly communicate technical findings to non-technical stakeholders

• Experience with feature engineering, data pipelines, and diverse data types (text, images, geographic, etc.)
• Experience applying machine learning and model evaluation, with familiarity in sales pipeline dynamics, CRM data, and pricing/margin analysis
• Clear communicator who translates statistical insights into actionable business implications
• Willing to invest in understanding the business context behind the data

• Degree in Statistics, Computer Science, Economics, Data Science or related quantitative field or 5+ years of equivalent work experience
• High School Diploma/GED
• 2 years of AI/ML experience
• Please include a link to your Git Hub or other code repository showcasing relevant work

Armstrong World Industries (AWI) is an Americas…