Sr Applied Scientist/Data Scientist _ ALLOCATION OPTIMIZATION _ Remote _ Retail Domain Experience

At SunRay Informatics, we are redefining the future of retail through cutting-edge intelligence, and we are looking for a visionary Senior Applied Scientist to join our Data & Analytics team. In this high-impact role, you will be the architect behind our next-generation allocation optimization frameworks, transforming complex supply chain challenges into seamless, data-driven solutions. You will have the unique opportunity to lead the charge in adapting multi-objective constraint models to diverse regional store configurations, ensuring that our inventory strategies are as agile and dynamic as the retail market itself.

This is a remote-first opportunity for a seasoned professional with 9-10 years of experience who is passionate about blending advanced mathematics with real-world retail logic. You will go beyond standard modeling, diving deep into store capacity constraints, presentation minimums, and clearance strategies to drive efficiency at scale. By spearheading model retraining for new regional rollouts and championing explainability for business stakeholders, you will bridge the gap between sophisticated algorithms and actionable retail strategy. If you are ready to apply your expertise to solve large-scale optimization puzzles in a collaborative, forward-thinking environment, SunRay Informatics is the place where your career will truly thrive.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.