Strong analytical background, at least a BS, and preferably an MS or PhD, degree in computer science, statistics or related quantitative field, with an emphasis on data mining, statistics, machine learning, algorithms or similar field.
Understanding of applied math topics such as probability and statistics, linear algebra, basic optimization techniques, etc.
4+ years work experience as a data scientist or a related role
Expert in Python/R with experience in machine learning related packages
Expert in SQL with experience in data warehouse technologies like Teradata
Experience/willingness to learn big data technologies like Hadoop and Hive
Experience using a wide range of analytical techniques: both supervised and unsupervised e.g., clustering, natural language processing (NLP),recommender engines, time series analysis, A/B testing,sentiment analysis and data visualization
Experience in deploying machine learning models into production, using and writing APIs
Ability to communicate DL/ML results to business
Experience with Tableau,a plus
This is not just a classic Data Science research position! It requires a passion for customer experience and business, a desire to go into uncharted territory with bold new ideas, and a willingness to go the last mile on execution!