Overall: Lead the R&D; team to conceive and implement cutting-edge 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.

Job Requirements
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




Valuable 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
Valuable 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.

📌 Chief Thought Leader Bengaluru
🏢 Continues Intelligence Lab
📍 Bengaluru