Overall: Lead the R&D team to conceive and implement innovative business solutions in predictive and prescriptive analytics
- Build capability, standards and frameworks for efficient and easy adoption of predictive and prescriptive analytics and visualization
- Foster active collaboration with academic institutions, prefer PhD Computer science.
- Good working knowledge of Big Data and NO SQL technologies
- Excellent understanding of statistical (regression analysis, cluster analysis, optimization techniques, etc.) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling); the skill to determine and apply the most appropriate techniques for different categories of problems; and the ability to communicate the business value to business leaders.
- Good working knowledge of visualization techniques and tools
- Good knowledge of software development lifecycle methodologies
- Passion for technology & innovation, creating IPs, patents and research on new and emerging technology trends
- Ability to build and lead teams. Excellent interpersonal and consulting skills
Key Skills
Text Analytics Tools: Eg. Open NLP, Stanford NLP
- Machine Learning Tools: Eg. Mahout, Weka, R, RapidMiner
- Real time Stream Processing Tools: Eg. Storm
- Enterprise Java
- Perl, PHP, Ruby, Python and JavaScript – Desirable
- Good understanding of Hadoop infrastructure
Education & Experience
- PhD in Computer Science or Applied Mathematics from a reputed institute. Specialization in a relevant area is a plus.
- 15+ years of relevant experience, with 7 years in a lead R&D role.
