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Mid LevelFull-timePythonRustAWSGCPAzureMachine LearningData ScienceGitAIML
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Hunter Douglas is seeking a motivated and experienced Data Scientist to join their 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.
Key Responsibilities
- →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.
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.
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