July 3, 2024
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Delhi Cantonment, Delhi, India, India
July 3, 2024
Apply NowJob description
Job DescriptionConduct 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 techniquesDeep learning and reinforcement learningEvaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer AnalyticsExpertise in visualization tools such as Power BI, Spot fire, or similar.Excellent storytelling skills to explain complex data to non-technical/business teamsExperience 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.
RequirementsProven 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 Databricks, 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.
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 techniquesDeep learning and reinforcement learningEvaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer AnalyticsExpertise in visualization tools such as Power BI, Spot fire, or similar.Excellent storytelling skills to explain complex data to non-technical/business teamsExperience 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.
RequirementsProven 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 Databricks, 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.
