✨ About The Role
- The Principal Data Scientist will lead the development and execution of data science strategies for inventory and logistics planning.
- Responsibilities include designing and refining predictive models for demand forecasting and inventory optimization.
- The role involves collaborating with cross-functional teams to deploy solutions and enhance data infrastructure.
- The candidate will be expected to drive automation and promote best practices in data-driven decision-making.
- This position offers the opportunity to significantly influence the future success of Quince through data science solutions.
âš¡ Requirements
- The ideal candidate should have a strong background in data science with at least 7 years of experience in a relevant industry.
- A master's or PhD in a quantitative field such as statistics, mathematics, or computer science is required.
- Hands-on experience with machine learning, predictive modeling, and optimization techniques is essential.
- Proficiency in programming languages such as Python and SQL is necessary for this role.
- Excellent communication and presentation skills are crucial for effectively conveying insights to stakeholders.