Graduate or PG in Statistics with 5+ Years of experience in the area of data science/machine learning OR PhD specializing in relevant field such as Probability, statistics, machine learning, data mining, artificial intelligence/computer science.
Deep understanding of statistical modelling/machine learning/data mining concepts.
Strong analytical and quantitative problem solving ability.
Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data.
Understanding of Big Data Technologies like Map Reduce and Hadoop
Hands on experience with R/SPSS.
Proficiency with general purpose programming language - Java/Python. Proficiency with data analysis platforms, preferably R/ any open source statistical platform
Attitude to work in a fast paced and continuously changing environment
Good Oral, written and communication skills
Experience in Health Care domain is a plus
Bachelors/Masters in Statistics
Use R and combination of other web tools and technologies to build "R tool kits" that enable transformation of prototype analysis to production quality deployment analytics
Develop high-performance statistical models and algorithms in R to guide modern streaming and data storage technologies
Engage in data collection, standardization, and analysis of data from database, experiments and studies
Understand client needs and build solutions, demonstrate end-to-end solution
Easily blend in different technology and technical considerations into business oriented discussions
The candidate should have ability to quickly understand operational processes, software and deployment experience. Candidate should also be able to translate the customer's business, functional and operational processes requirements into system solutions.
Candidates from Health care domain preferred
Experience in R programming language is a must