- The Data Scientist will be responsible for designing and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. This individual is also responsible for business case development, planning, coordination/collaboration with various internal and vendor teams, project managing the lifecycle of an analysis project, and interface with business sponsors to provide periodic updates.   - The role will require working on multiple projects simultaneously.  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.  Technical Skills :  Data scientist needs to be able to program in programming languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL. They need to have an understanding of Hadoop, Hive and/or MapReduce. In addition the need to be familiar with disciplines such as :  Natural Language Processing : The interactions between computers and humans   Machine learning : Using computers to improve as well as develop algorithms   Conceptual modelling : To be able to share and articulate modelling   Statistical analysis : To understand and work around possible limitations in models   Predictive modelling : Most of the big data problems are towards being able to predict future outcomes   Hypothesis testing : Being able to develop hypothesis and test them with careful experiments.  Other Essentials :  - Strong written and verbal communication skills   - Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing   - Having the ability to query databases and perform statistical analysis   - Being able to develop or program databases   - Being able to advice senior management in clear language about the implications of their work for the organisation   - Having an, at least basic, understanding of how a business and strategy works   - Being able to create examples, prototypes, demonstrations to help management better understand the work   - Having a good understanding of design and architecture principles;  - Being able to work autonomously.

Delhi NCR

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Data Scientist - Global Market Intelligence - KPO 

Data Scientist - Global Market Intelligence - KPO  ,Job Description for Data Scientist - Global Market Intelligence - KPO  in Nestor Services in  Delhi NCR Others for (3-8) years of experience. Apply Now!

Job Description for Data Scientist - Global Market Intelligence - KPO  in Nestor Services in  Delhi NCR Others for (3-8) years of experience. Apply Now!