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Data Scientist - Digital Enterprise
Data Scientist - Digital Enterprise
The Data Scientist - Digital Enterprise will build and deploy state-of-the-art ML/deep learning models for complex business use cases. This role involves deep-dive analysis, working with AWS Data Lake, and utilizing tools such as Python, SQL, Spark, and Hadoop to solve critical business problems.
About the role
Area
Digital Enterprise - Analytics
Job Profile
Data Scientist
Education Requirement
B.E./B.Tech (Any specialization - Preference to Computer Science, Mathematics, Statistics)
Experience
3 to 6 years
Role
- Candidate should be able to build and deploy state of the art ML/deep learning models for complex use cases that straddle across multiple line-of-business.
- Should be able to comprehend, extract, automate process and models from complex data sources and perform deep-dive analysis, including the application of advanced analytical techniques to solve critical and complex business problems.
- Should have experience of working on AWS Data Lake environment using different tools and connectors, hands on experience on system tools including Python, SQL, Spark, Hadoop environment and other Open source tools
- Should be able to build end to end Machine Learning models and evaluating their quality on real life scenarios with limiting hand holding.
Skill/Competency
- Act as a technical thought leader in collaboration with the analytics leadership , helping to set the strategy and standards for Machine Learning and advanced analytics.
- Work with senior leaders from all functions to explore opportunities for using advance analytics
- Provide technical leadership, coaching and mentoring to budding data scientists and analytics professionals
- Networking and influencing skills
- Excellent personal and time management skills
- Good understanding of overall business and quick learner
Skills
MLDeep LearningAWS Data LakePythonSQLSparkHadoop