Educational Qualification : Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometric, Applied Mathematics, Operations Research or related technical degree
Relevant Experience :
- 4+ years of work experience in a related position, as a data scientist or Statistician building predictive analytics solutions for various types of business problems
Functional Competencies :
Must have : Advanced knowledge of statistical techniques, machine learning algorithms, data mining, text mining
- Programming background and expertise in building models using at least one of the following languages : SAS, Python, R
- Strong story-telling & articulation skills ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
- Experience in handling big datasets (Structured or unstructured data). Ability to understand business problems and convert them to an optimal data strategy.
- Provide solutions but not limited to Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
Good to have : Experience working with big data platforms, like Hadoop, Hive, HBase, Spark, etc
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