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Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours?
Job Responsibility:
Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain
Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability
Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals
Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve
Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges
Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives
Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment
Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions
Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling
Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption
Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas’s VIBE platform and data ecosystem
Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility
Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications
Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows
Requirements:
Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)
5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context
Strong proficiency in Python, R, or SQL for data science and model development
Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)
Proven ability to design and operationalize data science solutions in real-world environments
Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics
Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)
Strong problem-solving, analytical, and communication skills
Familiarity with version control (Git) and collaborative development practices
Nice to have:
Master’s in Data Science, Engineering, Statistics, or related quantitative discipline
Experience working in manufacturing, supply chain, or consumer goods industries
Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications
Understanding of AI frameworks and automation pipelines for large-scale AI deployment
Proven ability to manage multiple projects and deliver business impact through analytics
Strong collaboration and communication skills to engage with diverse business teams
Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.)