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Senior Data Scientist
Manulife Financial
Boston, MA, United States
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Job Description:
Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.
Job Description Job Description
Job Description
John Hancock Retirement Planning Service (RPS) Division is looking for a highly motivated and experienced data scientist to uncover hidden information using our massive data and leverage advanced analytics and predictive modeling techniques to drive business decisions. The ideal candidate will able to function with a great deal of independence, work collaboratively and possess passion for advanced analytics and predictive modeling. This is a unique opportunity to join a creative and passionate start-up team within a Fortune 500 organization. We’re a lean, flat and experimental team that combines science and engineering to identify and inject high-value insights into the Retirement Planning process. The team works in quick iterations, using cutting edge techniques and algorithms that are best suited for the various challenges, which include but not limited to: sales, distribution, marketing and pricing. Results of this work will be presented and transformed in a variety of ways, including interactive visualizations, presentations, publications and web applications.
Responsibilities
The individual will
• Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
• Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
• Research, design, develop predictive models to analyze diverse sources of data and to achieve targeted outcomes
• Provide expertise on mathematical concepts for the broader advanced analytics team and inspire the adoption of advanced analytics and data science across the organization
• Create insightful data visualizations and turn statistical and computational analysis into user-friendly graphs, charts, and animations
• Collaborate with internal stakeholders to develop tools and services such as modeling dashboard to drive innovation and recommend solutions
• Present complex ideas, issues and data designs to various audiences
• Coach and provide guidance to junior team member
Skills and Qualifications
• Ph.D. or Master’s Degree in a quantitative discipline (Statistics, Math, Computer Science, Electrical Engineering, Physics, etc.)
• Three plus years developing of probabilistic models and machine learning algorithms including real world experience in model development validation and testing
• Expert in data analysis using Python, R, SQL or SAS
• Proficient with any of the data science methodologies including GLM, clustering, random forests, survival analysis, SVM, text mining, neural network and Bayesian analysis
• Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc
• Proven ability lead and drive projects and assignments to completion
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely
• Ability to work in a fast paced, test-driven, collaborative and iterative environment
• Experience in sales, distribution, and/or marketing modeling highly desirable
• Financial services industry experience preferred
Experience with Big Data platform preferred
If you are ready to unleash your potential it’s time to start your career with Manulife/John Hancock.
About Manulife
Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers' needs first and providing the right advice and solutions. We operate as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2016, we had approximately 35,000 employees, 70,000 agents, and thousands of distribution partners, serving more than 22 million customers. At the end of 2016, we had $977 billion (US$728 billion) in assets under management and administration, and in the previous 12 months we made almost $26 billion in payments to our customers.
Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.
Manulife is committed to supporting a culture of diversity and accessibility across the organization. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request an accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.