Rinalytics Advisors is hiring fro one of the most exciting analytics start-up companies to hit the news. Our client is a well-funded company with a unique idea targeted towards Retail Banking, Investment Banking, Insurance, Healthcare and Life Sciences Services industry. Our client has an exceptional leadership who has already built two other start-up companies from scratch and made them into success stories.
Experience & Qualification:
· Overall experience 10-15+ years along with blend of academics/corporate and consulting experience is preferred.
· Education: BS/MS/PhD in Computer Science, Applied Mathematics, Operations Research, Engineering, Economics, Machine Learning, AI etc
· A pragmatic attitude to modeling emphasizing completeness and consistency and usefulness of models.
· Strong work ethic with the ability to adapt to the situation, be flexible and nimble in terms of work planning, and the ability to think quickly on your feet.
· This individual would come from a strong Research or product development or engineering background with thorough programming skills and will have exposure to multiple technologies.
· Prior experience in machine learning and big data.
· Able to execute research projects, and generate practical results and recommendations.
· Passion and enthusiasm for creating applications that analyze huge data sets and make actionable recommendations.
· Ability to build and interpret probabilistic models of complex, high-dimensional systems.
· This individual would either come from Artificial Intelligence like Machine Learning, Data Mining, Operation Research, Information retrieval, NLP, etc OR Big Data Technologies / tools like MapReduce, Data Visualization tools, Social Media tool, NoSQL, Hive, MangoDB, etc OR combination of both.
· Experience with modeling software – Eg: SAS, SPSS, Enterprise miner, Knowledge seeker, Treenet etc. will be plus.
· Exposure to open source Technologies like Perl/Python and Relational Database, SQL would be very useful.
· Should be able to drive the project on his own or with minimal guidance