1. Specify, design, and implement new data science applications,
methodologies,models,and algorithms
2. Help analyze business cases, formulate the problems and provide
practical solutions
3. Design and implement large scale predictive analytics machine
learning algorithms
4. Develop code with high-level languages and technologies: R, Python,
Java/Scala, SQL, Map Reduce
5. Help analyze business cases, formulate the problems and provide
6. Quantify and measure impacts of solutions
7. Understand, categorize, organize, and interpret heterogeneous data
sets8. Design experiments, test hypotheses,and build prototypes and
models
9. Be involved in the transition from prototyping to production
B.E./B.Tech/M.E/M.Tech/MS
Maximum 5 Years & above
1. Expertise in providing an end to end BI solution by configuring
metadata and building Analytics Repository,dimensional modeling design,
building business models,generating reports and creating dashboards
using Analytics
2. Strong technical knowledge of Pentaho and related BI Applications,
including approach to implementing, extending and supporting using third
party modules
3. Strong technical understanding of data structures generated by mobile
applications and networks, and how they relate to establishing data
warehousing, data management and analytic architectures
India is the world’s second largest population of 1.2 billion. India is a young nation with 63% of its population under the age of 35 years. It has a fast growing digital audience with 800 million mobile connections and over 350 million internet users. Reliance thoroughly believes in India’s potential to lead the world with its capabilities in innovation. Towards that end, Reliance envisages creation of a digital revolution in India.
Reliance Jio aims to enable this transformation by creating not just a cutting-edge voice and broadband network, but also endowing into Artificial Intelligence, Open Source, Digital Transformation, Cloud Platform, Financial Services, Media and Entertainment etc.
