AI Analytics Engineer Job

Primary location:Remote,Remote
Relocation offered:No
Employment status:Full-Time
Travel:<10%
Non-compete:No
Location: Work from home position located inRemote,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)

What does it mean to work at Armstrong?

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.

As an 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.

What's in it for you!

• 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

What You'll Do

• 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.

What will make you successful

• 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

What will make you stand out

• 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

Qualifications

• 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 GitHub or other code repository showcasing relevant work

Why should you join Armstrong World Industries?

Armstrong World Industries (AWI) is anAmericas leader in the design and manufacture of innovative interior and exterior architectural applications including ceilings, specialty walls and exterior metal solutions. With approximately $1.4 billion in revenue, AWI has about 3,700 employees and a manufacturing network of 21 facilities in North America.

At home, at work, in healthcare facilities, classrooms, stores, or restaurants, we offer interior solutions that help to enhance comfort, save time, improve building efficiency and overall performance, and create beautiful spaces.

For more than 160 years, we have built our business on trust and integrity. It set us apart then, and it sets us apart now, along with our ability to collaborate with and innovate for the people we're here to serve - our customers, our shareholders, our communities and our employees.

We are committed to developing new and sustainable architectural solutions, with design and performance possibilities that make a positive difference in spaces where we live, work, learn, heal and play. It's an exciting, rewarding business to be in, and we're committed to continue to grow and prosper for the benefit of all of our stakeholders. We hope you join us.

Our Sustainability Ambition

"Bringing our Purpose to Life" - lead a transformation in the design and building of spaces fit for today and tomorrow.
We are committed to:

• Engaging a diverse, purpose-driven workforce;
• Transforming buildings from structures that shelter into structures that serve and preserve the health and well-being of people and planet;
• Pursuing sustainable, innovative solutions for spaces where we live, work, learn heal and play;
• Being a catalyst for change with all of our stakeholders; and
• Making a positive difference in the environments and communities we impact.

About the location (Lancaster PA)

Lancaster, PA. A great central location in South Central Pennsylvania, Lancaster is ideally situated for easy access to major metropolitan cities such as Philadelphia, Baltimore, Washington DC, and New York City. Lancaster offers a vibrant arts and entertainment community with wonderful historic sites, B&Bs, museums, great shopping, entertainment venues and restaurants.

Armstrong is committed to engaging a diverse, purpose-driven workforce. As part of our dedication to diversity, AWI is committed to Equal Employment Opportunity and all qualified applicants receive consideration for employment without regard for race, sex, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at by email at AWI talent acquisitionand let us know the nature of your request and your contact information. Requests for accommodation will be evaluated on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Come and build your future with us and apply today!

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