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?

Position overview

Hunter Douglas is in a multi-year transformation to modernize operations, digital backbone, and decisioning. This Principal Data Scientist turns strategy into measurable impact across sales and customer experience. You’ll frame problems with senior leaders, set quantified targets, and ship production-grade AI/ML solutions - while coaching a small, high-performing team.

What you'll do

• Partner with executive management on high‑impact initiatives across pricing, CX, and growth; bring structured, fact‑based recommendations and own delivery.
• Translate strategy to impact: convert business goals into AI/ML workstreams with clear metrics (revenue, margin, CX); track outcomes.
• Own end-to-end delivery: problem framing → data strategy → modeling → experimentation/causal inference → deployment → monitoring.
• Build GenAI products: RAG systems, tool-using agents, workflow orchestration, guardrails/safety, and systematic LLM evaluation.
• Design high-leverage models: e.g., product optimization, demand forecasting, segmentation/CLV, recommendations, attribution.
• Integrate & ship: partner with engineering to connect legacy/modern systems; deliver quick wins that scale.
• Coach & influence: mentor data scientists/analysts; bring crisp, fact-based storytelling to exec forums.

Who you are

• 5+ years in DS/ML with technical leadership; consistent record of business impact.
• Fluent in Python & SQL; strong ML fundamentals (statistical learning, gradient boosting, time series; working knowledge of deep learning).
• Hands-on with GenAI: prompt design, embeddings/vector stores, fine‑tuning/adapters, agent frameworks (e.g., LangChain/LlamaIndex), and LLM eval.
• Consulting-grade problem solving & communication: engage executives, structure ambiguity, tell a quantified story.
• Solid software & data practices: version control, testing, code review; ETL/ELT & APIs; cloud (GCP/Azure).
• Traits: curious, high-judgment, bias to action; thrives in fast-paced, output-focused environments.

How we work

• Pragmatic & outcome‑oriented: ship value quickly, iterate, then scale.
• Fundamentals over tool‑soup: master core basics, learn new tools as needed.
• Business‑first partnership: embed with stakeholders and co‑own results.

What we offer

• Direct exposure to senior leadership and the chance to shape a global transformation.
• Significant ownership with the stability of a market leader.
• Competitive compensation, performance bonus, and rapid growth opportunities.

If this sounds like you, we would love to hear from you. Please apply by submitting your resume/CV.

At Hunter Douglas, you’ll be part of a forward-thinking team committed to excellence. We offer a supportive environment for professional growth, competitive compensation, and the opportunity to make a real difference.  

By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use