Data Scientist
5 months ago
- Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches.
- Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers.
- Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis.
- Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
- Translate complex data insights into understandable and actionable information for non-technical and business teams.
Requirements
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of data analysis, statistics, and machine learning.
- Proficiency in data science tools and programming languages such as Python, R, Azure Data-bricks, SQL, etc.
- Familiarity with:
- Supervised and unsupervised learning techniques
- Deep learning and reinforcement learning
- Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
- Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics
- Expertise in visualization tools such as Power BI, Spot fire, or similar.
- Excellent storytelling skills to explain complex data to non-technical/business teams
- Experience in analytics, preferably within Retail, CPG, or E-commerce domains.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
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