1. 3-6 years of experience as a Data Scientist in delivering building complex ML models and delivering key business insights and metrics for financial or product organizations
2. Strong experience in statistical modeling and a very solid grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
3. Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required
4. Experienced in working with large data sets, with big data processing tools like MapReduce, Spark, Hive, etc.
5. Good SQL skills with knowledge and experience in working with any of the RDBMS database
Responsibilities 1. Closely work with business teams to understand the analytical products being used, asks and identify opportunities to re-design using scalable open-source big data technologies
2. Work with large datasets to investigate key business trends, behaviors, and metrics.
3. Develop, build and train machine learning models using wide range of machine learning tools and techniques
📌 Data Sciientist (India)
🏢 Capgemini
📍 India
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