Data Scientist  

The MBPS Senior Data Scientist for Advanced Analytics is responsible for the hands-on development and implementation of advanced analytics models to improve business processes, and to generate insights in order to support the strategy and goals of the on-shore Analytics teams in North America. The role will also act as a liaison between MBPS and on-shore team through an initial business immersion and eventual knowledge transfer of business and technical knowledge to the rest of MBPS Advanced Analytics team.

Key Responsibilities:

• Develop & implement models to support Advanced Analytics team strategy and business pillar initiatives, and communicate results and impact to business.
• Develop advanced analytics models in order to maximize ROI, revenue and overall profitability.
• Perform needs analysis with business area (understand business problem & generate hypotheses)
• Explore, generate & source data relevant to the hypothesis(internal, external, 3rd party)
• Create, assess, evaluate & Iteratively improve models
• Calculate model impact/ROI
• Peer review other Data scientists work
• Leverage sound judgment, balancing analysis effort versus incremental improvement
• Implement measurement & documentation framework against all project work
• Generate insights in such a way that the businesses can clearly understand the quantifiable value. Enable the business to make clear trade-offs between and among choices, with a reasonable view into the most likely outcomes of each.
• Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Enable those who aren’t professional data analysts to effectively interpret data. Ability to communicate results and educate others through reports and presentations
• Mentor and develop junior data scientists through business and technical knowledge transfer.
• Gain expert knowledge on business and technical knowledge, processes and methods to align the on-shore Advanced Analytics teams
• Act as liaison, which is a single point of contact for program updates and day-to-day management of MBPS analytics team
• Provide thought leadership around analytics methodology, tools, and measurement.
• Innovate & find creative ways to source & leverage data to support modeling efforts, leveraging structured & unstructured data, and big data technologies.
• Collaborate with internal stakeholders to develop tools and services such as modeling, dashboard development, decision aids and business case analysis to drive innovation, strategic initiatives and recommend solutions.
• Develop a strategy for collaboration and knowledge-sharing with Analytics teams from other Divisions

• Advanced degree in Statistics, Math, Computer Science, Engineering or other related discipline is preferred
• 1-2 years’ experience, specifically in statistical/data analysis and data mining, predictive modeling, cluster analysis, optimization and natural language processing
• Proficient in Python/R/SAS/Spark for machine learning, SQL/Python/Hive for data processing
• Track of record of delivering innovative analytical insights
• Strong commitment to organizational success and team work
• Adaptable and open to change with strong collaboration and communication skills
• Demonstrated data transformation & manipulation experience
• People leadership experience desired
• Insurance/Financial Services Experience desired
• Experience with Big Data platforms desired
• Experience with analysis of unstructured data desired
• Strong analytical and planning skills;
• Good communication and presentation skills;
• Excellent problem-solving skills