Data Scientist

Role: Data Scientist

Job Description

• 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.​