Data Scientist is responsible for driving new and innovative approaches as to how the company understands, interacts and services its customers and distribution through the optimization of analytics to drive business insights. The Data Scientist is expected to provide enterprise-level consulting to MetLife business executives on the design, development and implementation of complex analytical models and insights, and simplifying for business implementation/integration.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Identify, hypothesize, and implement the analytics business problems, secure proof of concepts and project delivery
Deliver analytical solutions for the business, creating compelling explanations and plans to drive adoption in the business
Selecting features, building and optimizing classifiers using machine learning techniques
Use statistical methods to conduct descriptive, predictive and prescriptive model building, and summarize/present findings in an impactful manner.
Machine learning using state-of-the-art methods
Coordinate with different functional teams to implement models and monitor outcomes.
Support business leader’s benefits realization of improved sales (new business ANP), value of new business (VNB), operational efficiency, Net promoter Score (NPS), Customer Centricity and other agreed measures within the Data Analytics program
Team player, able to support wider needs in visualization, data management and BI as the need arises
Be part of the global analytics community, presenting and sharing best practices to improve global and local capability
3-5 years of experience in the field of advanced quantitative techniques while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporate or in consulting companies in analytics roles
Business Knowledge/Technical Skills:
Deep technical competency in quantitative methods and/or business analytics and problem-solving skills in industrial settings
Proven ability in model building and application experience in data mining techniques and tools (e.g., R, Python)
Competent programming aptitude with excellent computation and data mining skills
Strong analytical, problem-solving and organizational skills, understands what it takes to deliver software with exposure to large-scale systems
Very good communicator in Business Japanese
Self-motivated to continuously upgrade one’s domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis
Demonstrated ability to establish relationships and build rapport in order to influence colleagues at all levels, uncover business issues and identify needs
Demonstrated ability to present and communicate concisely and clearly with all levels of financial, non-financial, technical and executive audiences
Business-level English is a plus
Insurance industry domain knowledge
Visualization tools (QlikView, Qlik Sense, Power BI) advantageous
Hands-on experience with Spark, or the Hadoop ecosystem advantageous