Data SciencePythonData EngineerBig DataMachine Learning
Be an Individual Contributor in the Analytics Research and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies.
Be a part of large delivery teams working on advanced projects when expert assistance is required.
Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later on smoothly transition the proof-of-concept into production
Demonstrated hands-on experience in solving real-world problems using Natural Language Processing and/or Image Processing
Demonstrated hands-on experience in using algorithm libraries / frameworks like H2O, Keras and TensorFlow
Expert level programming ability in R and/or Python and possess good presentation skills with the ability to organize and present information to audiences with disparate levels of technical understanding
Strong theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling, Propensity models, customer segmentation etc.
Strong theoretical and practical knowledge of some or most Machine learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
Strong theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.
Consistent track record of building and successfully deploying advanced analytics solutions with demonstrable value to the organization
Ability to work well under pressure in a fast-paced environment
Professional, service oriented, proactive and flexible
Post-graduate degree from a renowned institute in Engineering/Statistics/Economics/Computer Science/Mathematics (with a strong quantitative background)
Technical Skills • 7 to 10 years of experience in java middle-tier applications in a J2EE environment • Strong familiarity with API management micro-services, Java/J2EE application stacks • Strong experience working in an Agile/Scrum environment • Experience in large scale applications – either public facing web applications or applications with large numbers of concurrent users. • Experience with either on-line or in-store retail selling applications Deep hands-on experience with the following technologies: • Deep technical hands-on experience creating and consuming REST API services with JSON • Experience developing and deploying solutions in major cloud platform (AWS, Azure, etc.). • Experience with Docker, or related container-oriented technologies (i.e. Docker Enterprise Edition, Kubernetes, etc.). • Comfortable implementing continuous integration / continuous delivery process for applications using technologies such as Jenkins and Git. • Experience with Test Driven Development, including writing and implementing automated unit, system, and integration tests. • Experience with PostgresDB and/or Oracle12c. Ability to define tables, create SQL queries, etc. • Experience building micro-services using Spring Boot • Experience using Unix command line and Bash/Shell/Python scripting to automate tasks, etc. • Experience with Subversion (SVN) and GIT source control; Maven and Ant; JIRA, Confluence, BitBucket, Grails, web security experience such as WS-Security; Eclipse based IDEs (or IntelliJ) • Experience with testing tools like Junit, Gatling, wiremockfor automated tests • Experience with designing and conducting performance/stress tests on applications, analyzing and leveraging these results to improve application throughput and response time. • Practical knowledge of New Relic, Splunt, DynamoDB are preferred but not required.
Java Python, PERL, SQL, Shell Scripting, HTML, CGI and XML. ,Integration with enterprise applications using Web service KAFKA, ELASTIC Search and REST API. ,Database Administration (MySQL Oracle, DB2, MongoDB). ,Expert knowledge in architecture design, development experience of IBM Tivoli Netcool Fault Management product suite – Impact, APM, ICAM, Omnibus , Netcool probes, COGNOS Reporting, Business Insights (ICABI), and ITNM. ,Strong working knowledge of Log Analytics NOI, and building correlation rules