Data Scientist (Life Insurance Project)

• Perform ad-hoc analyses and develop insights in support of current and future strategic initiatives
• Communicate business users to understand requirements and translate into models.
• Use statistical models (SAS, python or pyspark, R, machine learning algorithms) to create predictive consumer behavior models
• Interest and passion for data analytics, insight extraction, programming, and modeling
• Critical thinking to debug programs, create strong variables, iterate modeling techniques, etc.
• Curiosity about what the data says and the analytics that extract insights
• Perform data manipulation, wrangling, cleansing, and analysis (in Python, R, or SAS)
• Knowledge of internal and external data sources
• Build, iterate, and validate predictive models using multiple statistical techniques
• Interpret, understand, and present results to clients
• Provide support and assistance for the implementation of predictive models

2+ years of PROFESSIONAL experience with PYTHON and/or R/SAS (not including academic experience/Internships)

• Experience working with large data sets
• Experience in data wrangling/cleansing, statistical modeling, and programming
• Fluent in Japanese and English will be required, at least Business level both in writing and speaking
• Knowledge of Hadoop will be added advantage.
• Bachelor’s degree in statistics or machine learning is preferable.