Architect and develop data warehousing solutions and ETL pipeline for advanced reporting and deep analytics services, both internal and client facing.
Conceive, design, and develop production-level code for feature extraction, data modeling and prediction, and related API services to support advanced audience targeting and performance prediction of ad campaigns the real-time data
Perform ad hoc statistical and data mining analyses.
BS in Computer Science, Statistics, IEOR or a related field or equivalent practical experience.
Experience with object oriented programming in Python, Java, C/C++ , Ruby or similar language. Functional programming experience is a plus.
Familiarity with database principles and a working knowledge of SQL and SQL syntax.
Strong background in probability, statistics, and data mining.
MS degree in related field with 3 years experience or 5+ years of industry experience with big data applications for real-world business problems.
Deep knowledge of data warehousing, collection, aggregation, and ETL pipelines.
Distributed systems experience, using tools such as Hadoop/EMR/Spark/ElasticSearch/MongoDB/AeroSpike/Kafka... etc.
Excellent interpersonal, written, and verbal communication skills
Ability and comfort working independently and making key decisions on projects