Data Scientist
ZettaMine Labs
Expired
Posted: 17 Apr 20
Job Description
Data Scientist
This position requires a person to design, implement and processes large data sets used for modeling, data mining.
Responsibilities :
- Develop and plan required analytic projects in response to business needs.
- In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.
- Develop new analytical methods and/or tools as required.
- Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies.
- Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
- Work with application developers to extract data relevant for analysis.
- Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems.
- Provide and apply quality assurance best practices for data mining/analysis services.
- Adhere to change control and testing processes for modifications to analytical models.
- Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
- Determine required network components to ensure data access, as well as data consistency and integrity.
- Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.
- Manage and/or provide guidance to junior members of the team.
Job Particulars
Role it software engineer
Education Any Post Graduate, Any Graduate
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id916128
Job Category IT/Software
Locality Address
State Telangana
Country India
About Company
We believe that with the shrinking differentiation from enterprise software, “Analytics' is the frontier to create strategic advantage for Businesses. We embrace and evangelize evidence/data based decision making for creating value for Businesses. We apply eclectic disciplines and methods to business problems that enhance operational efficiencies, productivity and competitiveness
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