Experience of delivering advanced analytics in an enterprise environment
Ability to communicate complex ideas effectively, structure and solve problems, and conduct and interpret analysis independently.
Ability to manage and steer interaction with business and other stakeholders within the organization.
Good knowledge and experience with Data Science and computer science.
Good experience with (big volume) data cleansing, handling and pruning,
Complex Statistics understanding, statistical modelling, predictive analytics, machine learning and analytic approaches, inventing new algorithms.
Strong data mining, programming and visualization skills
Data classification, regression, similarity, cluster analysis
Skill: R, Python, Qlikview/Qliksense, PowerBI, KNime and Hadoop stack. Experience productionizing machine learning model is a plus. High proficiency in at least one of the following broad areas: a. Machine learning,Deep Learning, Statistical modeling/inference , Information retrieval, Data mining ,NLP.
Team player that possesses competencies to guide a multi-disciplinary team.