Job description

Primary location: Lancaster, Pennsylvania Relocation offered: No Employment status: Full-Time Travel: Non-compete: No The estimated base salary range for this role is $121,000 to $160,000 per year. Individual pay is based upon location, skills and expertise, experience and other relevant factors 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 casual work environment where we have a recognition program for our team, and service awards. You will also be able to make the most of our fitness center and lunchtime cafe. • 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. Armstrong is seeking a Senior Data Scientist to lead the development of advanced analytics, machine learning models, and data-driven solutions that power key business decisions. This role combines deep technical expertise with strategic thinking and strong communication skills to translate complex data insights into clear business value. As a Senior Data Scientist, you will partner closely with cross-functional teams across data engineering, ML Ops engineering, product, pricing, finance, operations, and strategy to design, develop, and deploy scalable models and analytical tools that drive measurable outcomes. What You'll Do • Lead the design, development, and deployment of machine learning and AI models to solve complex business challenges. • Partner with stakeholders to identify high-impact use cases and define measurable success criteria. • Identify and build the right model to enable the business outcomes desired for each use case. • Analyze large, complex datasets to uncover actionable insights and support data-driven decision-making. • Collaborate with data engineers to ensure robust data pipelines and model integration into production systems. • Build prototypes, conduct experiments, and iterate on model performance to drive continuous improvement. • Connect LLMs to data sources to automatically summarize data, identify key metrics, and answer natural language questions. • Leverage LLMs to generate summaries of analysis results and create visualizations. • Apply LLM-powered NLP techniques for tasks such as text classification, sentiment analysis, and named entity recognition. • Document processes and best practices in data science methodologies, coding standards, and model evaluation. • Communicate results and recommendations clearly to both technical and non-technical audiences using data visualization and storytelling. • Stay current with emerging tools, techniques, and trends in AI, ML, and data science. What will make you successful • Strong proficiency in Python and key ML/data libraries (Databricks, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). • Experience using AI platforms (Databricks). • Expertise in statistical modeling, predictive analytics, and feature engineering. • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices. • Proficiency in SQL, R, & Python and experience working with large-scale data environments. • Strong understanding of model evaluation, A/B testing, and business impact measurement. • Excellent communication skills with the ability to simplify complex topics for business audiences. • Experience with NLP, LLMs, and generative AI models. • Familiarity with data visualization tools (Tableau, Power BI, Plotly, etc.). • Background in deploying models into production or integrating with enterprise applications. • Experience working in Agile environments and cross-functional teams Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred). • 5+ years of professional experience in data science, machine learning, or applied analytics. Why should you join Armstrong World Industries? Armstrong World Industries (AWI) is an Americas 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 acquisition and 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!

Requirements

Must-haves

Primary location: Lancaster, Pennsylvania
Relocation offered: No
Employment status: Full-Time
Travel: Non-compete: No
Individual pay is based upon location, skills and expertise, experience and other relevant factors
What does it mean to work at Armstrong?
By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:
Personal development to grow your career with us based on your strengths and interests.
A casual work environment where we have a recognition program for our team, and service awards. You will also be able to make the most of our fitness center and lunchtime cafe.
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.
Lead the design, development, and deployment of machine learning and AI models to solve complex business challenges.
Partner with stakeholders to identify high-impact use cases and define measurable success criteria.
Identify and build the right model to enable the business outcomes desired for each use case.
Analyze large, complex datasets to uncover actionable insights and support data-driven decision-making.
Collaborate with data engineers to ensure robust data pipelines and model integration into production systems.
Build prototypes, conduct experiments, and iterate on model performance to drive continuous improvement.
Connect LLMs to data sources to automatically summarize data, identify key metrics, and answer natural language questions.
Leverage LLMs to generate summaries of analysis results and create visualizations.
Apply LLM-powered NLP techniques for tasks such as text classification, sentiment analysis, and named entity recognition.
Document processes and best practices in data science methodologies, coding standards, and model evaluation.
Communicate results and recommendations clearly to both technical and non-technical audiences using data visualization and storytelling.
Stay current with emerging tools, techniques, and trends in AI, ML, and data science.
What will make you successful

Nice-to-haves

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaillmpythonawsazuregcpsqlagile

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

401k