Data Scientist

Responsibilities:
• Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
• Owns and delivers complete projects of moderate scope and manages assigned tasks on more complex projects.
• Works on problems of moderate scope / complexity where analysis of situations or data requires a review of a variety of factors
• Ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
• Provides analysis on datasets of significant complexity.
• Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.
• Communicates results of cases of moderate complexity to business partners and recommends solutions to more senior data scientists .
• Works closely with subject matter experts to understand data sources and business processes.
• Has intimate understanding of the business value chain and customer lifecycle for the projects they are supporting.
• Has fundamental understanding of the business as a whole.
• Curious and asks the right kinds of questions of peers and customers to gain knowledge.
• Understands company culture, cooperation & information sharing within the company
• Establishes an internal network and leverages the network of more senior data scientists.
• Develop an external network.
• Actively seeks out coaching and incorporates feedback into their work.
• Provides guidance and mentorship to more junior data scientists.
• Owns their career development.
• Takes advantage of available resources to advance their technical and business skills.
• Understands how their project supports broader business strategy, including the core drivers of business value
Some ability to construct systematic process to implement analytics insights and solutions, this includes (but not limited to):
1) designing a process with multiple relevant parties with clear specifications of roles and responsibilities
2) identifying required tasks, system / data flow and contingency
3) specifying check-and-balance throughout the process
4) establishing rigorous tracking and closed-loop learning
5) implement such process in a scalable way
Requirements:
• Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience.
• Mnimum of 2 years of applicable experience
• Advanced knowledge of programming languages and concepts ( SAS, SPSS, R (different modules) or Python)
• Familiarity and working knowledge of basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)
• Working knowledge of different techniques and knowledge of machine learning algorithms.
• Basic knowledge of AI toolkits.
• Advanced knowledge of data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.
• Advanced knowledge of common database querying languages such as SQL.
• Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
• Strong working knowledge of relational database models ( data vaulting techniques, rules tables).
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.

When you join our team:

• We’ll empower 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 global team, we’ll support you in shaping the future you want to see.

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 [email protected].