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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software,Sales / BD |
| EmploymentType | Full-time |
Sony is looking for a Data Scientist(Sr. Software Engineer)to analyze large amounts of raw data generated from its various systems continuously, and to build data products to extract valuable insights and inferencing capabilities for enhancing the product and service components for one of its major product line. Candidate should be able to apply his/her knack for analysis, math and statistics. Should be able to critically examine and interpret the data and pre-process them using state of the art data pipeline. He/She should have a passion for data driven machine-learning and research. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. candidate develops and maintains scalable data pipelines and realizes API integrations to support increasing data volume and complexity. Should be able to monitor data quality, devise processes and mechanisms to cleanse the data wherever required. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Should have ability to build automation needed for effective data preparation, data augmentation to make the artificial intelligence components more accurate and beneficial. Responsibilities Design and development of data integrations and data framework. Realizes data assets (data models), create and maintain state of the art big data pipeline to populate data models. Evaluates and adopts open source and vendor tools for data lineage. Identify valuable data sources and automate collection processes, Undertake preprocessing of structured and unstructured data, and prepare them for ML/AI learning systems. Analyze large amounts of information to discover trends and patterns, validate the data for its accuracy and usefulness. Present information using data visualization techniques,
Keyskills :
business intelligence toolsbig dataopen sourcedata modelsdata qualitydata analysisbuild automationdata preparationunstructured datadatadriven decision making