The Senior Data Scientist will work with the team to create state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and drive enterprise level outcomes.
Architect, Lead and Develop high performance, distributed computing algorithms using Big Data technologies such as Hadoop, text mining, and other distributed environment technologies.
Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, collaborative filtering, etc.) given an array of tactical and strategic objectives.
Vast experience in solving analytical problems using quantitative approaches (or equivalent)
Bachelors in Computer Science, Math, Physics, Applied Economics, Statistics or other technical field.
Advanced degrees preferred.
Deep technical expertise, domain knowledge, experience in statistical/ modeling techniques, focused on the big data space
Competent programming aptitude with excellent computation and data text mining skills, with expertise in using R, SQL, Python, SAS