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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$90k–$167k/yr
Full-time
postgraduate degree
Health insurance, Dental insurance, Vision insurance, Mental health benefits, Short-term disability, Long-term disability
Posted 1d ago
Apply by Sep 21
~40 hrs/week
Responsibilities
The Data Scientist builds analytical models and data architectures to solve business problems within an MLOps framework. They collaborate with cross-functional teams to deploy performant analytics solutions that drive business value and strategy.
Requirements
Candidates must have a Master's degree or equivalent in a quantitative field and at least 2 years of data science experience. Proficiency in Python and SQL with relational databases is required.
Full job description
At John Hancock, 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 Data Scientist is accountable for delivering business value with data by focusing on key corporateobjectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientistis responsible forcrafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology.
Position Responsibilities:
Bridging between data assets, technology, and businessexpertise
Collaborate shoulder-to-shoulder with business experts.
Understand the business, the associated processes,systems& dataenvironment.
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 businessprocess, to generate insights, and support strategy development.
Work on problems of diverse scope and complexity requiringthe 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 makingappropriate recommendationsto 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 dataimpactsa 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 dataanalyticsand predictive modeling.
Identifyand 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.
Required Qualifications:
Mastersor equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
Knowledge andexpertisewith 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.
Preferred Qualifications:
A PhD or equivalent experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, or equivalent)
Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
Knowledge and experience in network andgraph basedanalytics techniques including graph databases
Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
Passionate about working in a diverse group and contributing to an inclusive culture
When you join our team:
We’llempower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our distributed team, we’ll support you in crafting the future you want to see.
#LI-Hybrid
The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
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.
Referenced Salary Location
Boston, Massachusetts
Working Arrangement
Hybrid
Salary range is expected to be between
$90,160.00 USD - $167,440.00 USD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration.
Visit www.Manulife.com to find out more.
For Manulife terms of use, please visit https://www.manulife.com/ca/en/about-us/social-media-policy
Offices: 200 Bloor St E, Toronto, Ontario M4W, CA · 223 Wai Yip St, Kwun Tong, Hong Kong, HK · 51 Bras Basah Rd, Singapore, Singapore 189554, SG · 250 Bloor St E, Toronto, ON M4W 1E6, CA · Jalan Jenderal Sudirman, Lombok Barat, West Nusa Tenggara 83311, ID
How much do Data & Analytics jobs in Boston, MA pay?
Based on 2465 listings with disclosed salaries, most data & analytics jobs in Boston, MA pay between $80k–$215k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Boston, MA right now?
There are currently 2,906 open data & analytics positions in Boston, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Boston, MA?
Companies currently hiring include State Street, Liberty Mutual Insurance, Amazon, WHOOP, Wellington Management, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Boston, MA?
Yes — 1686 of the 2906 open data & analytics positions offer remote or hybrid work (294 remote, 1392 hybrid).
How do I apply for Data & Analytics jobs in Boston, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.