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Data Sciientist

Capgemini

India · On-site Full-time Mid Level Today

About the role

Short Description

Data Scientist - 2 to 4 years - Bangalore

Qualifications

  • Bachelors/Masters

Requirements

  • 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
  • Strong experience in statistical modeling and a very strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
  • Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required
  • Experienced in working with large data sets, with big data processing tools like MapReduce, Spark, Hive, etc.
  • Good SQL skills with knowledge and experience in working with any of the RDBMS database

Responsibilities

  • 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
  • Work with large datasets to investigate key business trends, behaviors, and metrics.
  • Develop, build and train machine learning models using wide range of machine learning tools and techniques

Requirements

  • 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
  • Strong experience in statistical modeling and a very strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
  • Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required
  • Experienced in working with large data sets, with big data processing tools like MapReduce, Spark, Hive, etc.
  • Good SQL skills with knowledge and experience in working with any of the RDBMS database

Responsibilities

  • 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
  • Work with large datasets to investigate key business trends, behaviors, and metrics
  • Develop, build and train machine learning models using wide range of machine learning tools and techniques

Skills

GBMHiveLogistic RegressionMapReduceNeural NetsRandom ForestRDBMSSQLSparkSVM

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