Data Scientist

2 weeks ago

Bengaluru, India Prescience Decision Solutions Full time
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.


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.

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