DATA SCIENTIST
IN
Job Summary
• Person at this position owns architecture/ design of a sub-system (a set of modules or a product), formulates new solution and ideas and produces new or original work.
• Person demonstrates the ability to justify a stand or decision supported by sound technical knowledge base.
• Person is able to the represent the organization externally in detailed technical discussion with the customer with a high level of authority on technical matters.
• Person leads projects which are of significant organisational profile and makes trade-off decisions to deliver solutions that both meet customer's technical requirements and timelines.
• Person demonstrates the ability to analyse and interpret complex problems and improve, change or adapt existing methods to solve the problem.
Roles & Responsibilities
• Person at this position owns architecture/ design of a sub-system (a set of modules or a product), formulates new solution and ideas and produces new or original work.
• Person demonstrates the ability to justify a stand or decision supported by sound technical knowledge base.
• Person is able to the represent the organization externally in detailed technical discussion with the customer with a high level of authority on technical matters.
• Person leads projects which are of significant organisational profile and makes trade-off decisions to deliver solutions that both meet customer's technical requirements and timelines.
• Person demonstrates the ability to analyse and interpret complex problems and improve, change or adapt existing methods to solve the problem.
Education and Experience Required
Engineering graduate, MCA, etc Experience ; > 8 years
Competencies Description
Data Science TCB is applicable to one who
1) Analyses data to arrive at patterns/Insights/models
2) Come up with models based on the data to provide recommendations, predictive analytics etc
3) Provides implementation of the models in R, Matlab etc
4) Can understand and apply machine learning/AI techniques
Platforms-
Unix
Technology Standard-
NA
Tools-
R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS
Languages-
R, Perl, Python, Scala
Specialization-
COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS
Must to have Skills
