15+ years of total relevant experience. 10+ years of hand on experience in analytics/ data mining,
4+ years of hands-on big data analytics experience.
8+ years of experience of client delivery, client management, people management.
Hands-on experience of machine learning and data mining algorithms such as NLP,decision
trees, classifiers, Text correlation, clustering, and regression.
Knowledge of Hadoop and other distributed computing platforms. Broad knowledge of existing
data mining, NLP algorithms and technologies.
Experience with working on large data sets and developing scalable algorithms.
Exposure to scripting languages Python/ Java. Scripting in Pig/ Hive/ Mahout/… a plus.
Experience with statistical software Python/SAS/ SPSS/ R.
Excellent presentation and communication skills.
Strong analytical and problem solving skills.
Desired Profile:-
Works to design and develop analytical/ data mining/ machine learning models as part of data
science solutions.
Provide guidance to various data science teams working on different problem statements in
different sectors.
Solution on DS&A architectures.
Hold forth on best practices on modeling life cycle and model lifecycle management.
Prescribe best modeling practices.
Gather, evaluate and document business requirements, translate to data science solution
definition, and ability to implement solution on a Big Data platform.
Ability to design and build an end-to-end prototype data science solution to a business problem in
any specific sector/ function.
Ability to support and guide end-to-end model lifecycle management.
Create model documentation as per client/ regulatory standards.
Desired:-
Degree in a quantitative field (Math, Statistics, Economics, Physics, and/ or Engineering, MBA).
Knowledge of where analytics fits in to a end-to-end business solution.
Ability to work with business and technology teams to build and deploy an analytical solution as
per client needs.
Ability to multi-task, solve problems and think strategically.