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About the Role

Data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework. The role focuses on delivering business value through data by addressing key corporate objectives such as portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and team performance. The Data Scientist is responsible for creating, building, and deploying interpretable and performant analytics solutions and applications, and collaborates with data and ML engineers to develop scalable self-service tools.

Responsibilities

• Bridging between data assets, technology, and business expertise
• Collaborate shoulder-to-shoulder with business experts
• Understand the business, the associated processes, systems & data environment
• Research, explore, and experiment with data driven business ideas
• Research & leverage published material to gain a comprehensive understanding of data science practices and methods
• Crafting and building business interpretable and performant analytics solutions
• Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development
• Work on problems of diverse scope and complexity requiring the in-depth analysis of data
• Quickly develop enough business insight to connect data sources across multiple diverse and complex systems
• Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners
• Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis
• Deploy rich data and analytics content in business applications
• Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value
• Prepare cases on the benefits of the analytics work
• Elevate data and analytics skills in the business
• Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling
• Identify and guide natural data champions to improve the profitable use of data
• Learn salient business concepts from data champions and enable them to creatively use data assets

Requirements

• Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
• Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
• Skilled with Python or similar languages
• 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience.

Skills

• Machine learning
• NLP
• Statistics
• Experimental design
• Deep learning
• Recommendation systems
• Network and graph based analytics techniques
• Graph databases
• Azure Cloud Platform
• Azure ML
• Data Factory
• Python
• SQL

Location

• Boston, Massachusetts

Work Type

• Hybrid

Experience Level

• 2+ years

Education Level

• Masters or equivalent experience
• PhD or equivalent experience

Salary/Compensations

• $90,160.00 USD - $167,440.00 USD

Benefits

• Opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance
• Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
• Adoption/surrogacy and wellness benefits
• Employee/family assistance plans
• Retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
• Financial education and counseling resources
• Up to 11 paid holidays
• 3 personal days
• 150 hours of vacation
• 40 hours of sick time (or more where required by law)
• Full range of statutory leaves of absence

About the Company

• Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
• Company: John Hancock Life Insurance Company (U.S.A.)

Equal Opportunity

• Manulife is an Equal Opportunity Employer
• At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.
• We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
• It is our priority to remove barriers to provide equal access to employment.
• A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.
• All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies.
• To request a reasonable accommodation in the application process, contact hr@manulife.com.
• Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify