AI Data Scientist

Position Overview

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.

What you'll do

• 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.
• Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.

Who you are

• 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.

Preferred Education, Experience, and Skills

• 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.).