AI Data Scientist

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?

Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas’s digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business.

The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives.

• 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, Git Hub 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.

• 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…