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Associate Consultant at CareerNet Consulting
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Data Science Role - Risk analytics - BFS/KPO (4-12 yrs)
Data science- risk analytics
Job Description:
- Bachelor's / Master's Degree in discipline like IT/Software, Engineering, Mathematics, Statistics, Economics etc from a reputed university
- 4-12 years in the analytics industry; of which at least 3 years of experience in machine learning/ high end analytical techniques
- Should be competent with techniques like neural network, boosting, support vector machine, random forest etc (hands on experience required)
- Good organizational, project management, analytical, problem-solving and verbal/written communication skills
- Comfortable working with the onshore/offshore team
- Good Knowledge of SAS/ R/Python programming would be highly preferred
- Demonstrated success in managing multiple deliverables concurrent
- Familiar with a majority of the techniques below and proven expertise in a few of them is a 'MUST'
- GAM / Logistic models
- Neural Network/ Artificial Neural Network)
- Random Forest
- Gradient Boosting
- Logit boosting
- Apriori Algorithm
- Support vector Machine
- Recommendation Learning
- Self-Organizing maps
- Pattern recognition
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