C
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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