Role : Data Scientist - Retail/CPG Domain  Retail or CPG domain experience in Analytics is mandatory  - 12 to 16 yrs experience candidates with at least 8+ yrs of industry experience in statistical modelling.  Tools : R Programming, Python, SAS, Hive  - Predictive Analytics  - Classification - (Logistic Regression, Decision Trees, Naive Bayes, Rule based classification, Support Vector Machines)  - Clustering (Kmeans, Kmodes, Kprototypes and Hierachial clustering)  - Neural Networks, Association Rules ( Market Basket Analysis)  - Descriptive and Inferential Statistics - Turning Data into information, Probability Distribution,  - Confidence Intervals, Hypothesis Testing, ANOVA.  Categorical Variable Association : Chi-Square Testing, F Test(Two Variance)  Retail Analytics :  - Customer Analytics   - Loyalty Programs  - Segmentation  - Marketing Analytics  - Customer Churn, CLTV  - Loss Prevention (Organized Retail Crime)  - Market basket analysis  Qualification :  - Ph. D or Masters in Statistics/Mathematics/Economics - Preferred  - B.E/B Tec/MCA

Bangalore

Data Scientist - Retail/CPG Domain 

Data Scientist - Retail/CPG Domain  ,Job Description for Data Scientist - Retail/CPG Domain  in Saaki Argus Averil Consulting in  Bangalore for (12-16) years of experience. Apply Now!

Job Description for Data Scientist - Retail/CPG Domain  in Saaki Argus Averil Consulting in  Bangalore for (12-16) years of experience. Apply Now!