Key Responsibilities
- Develop and maintain machine learning models for demand forecasting, customer segmentation, recommendation systems.
- Analyze business and customer data to derive actionable insights.
- Build dashboards and reports to support decision-making.
- Collaborate with marketing, operations, and product teams to integrate data-driven solutions.
- Ensure data quality, data governance, privacy, and compliance.
Requirements / Skills
- Degree in Data Science, Computer Science, Statistics, or related field.
- Hands‐on experience with Python / R, SQL, and ML frameworks (scikit-learn, Tensorflow, etc.).
- Strong background in statistics, data modeling, and experimental design.
- Experience with data visualization tools (Tableau, Power BI etc.).
- Curiosity, creativity, and communication skills to translate insights for non-technical audiences.