Data Scientist "Senior/Lead"

• Collaborate with product design and engineering to develop an understanding of needs
• Research and advise innovative statistical models for data analysis
• Communicate findings to business stakeholders
• Enable smarter business processes—and implement analytics for actionable insights
• Keep current with technical and industry developments
• Works closely with data scientist lead for identifying, specifying and prioritizing the deliverables for each business use-case
• As a Data Scientist, you will be working in an agile team at the forefront of shaping Customers’ experience using machine learning and predictive statistical modeling.
• solve data problems and develop innovative data solutions using Disruptive mindset
• Designs, deploys and evaluate predictive models and advanced algorithms to drive business decisions
• Contributes in data architecture decisions and collaborate with technology teams to implement model.
• Performs data processing including statistical analysis, variable selection, and dimensionality reduction

Requirements

• Bachelor degree in Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or related discipline with excellent academic record.
• Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, neural networks
• Experience in at least one of the following languages: Python, Java, Scala, R.(Python is preferred)
• SQL Fluent
• Good communication skills, with ability to work cross functional teams to translate business issues into potential analytics solutions
• Master in computer science or statistics
• Experience with working on large data sets, especially with Hadoop and Spark.
• Experience with distributed databases such as Hive, Impala, Redis, etc