Machine Learning Egineer

Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.

JOB DESCRIPTION

People Leader Role: No

Responsibilities:

• Support data operations lifecycle of AA projects - Input into the approach and Owns and manages assigned tasks.
• Develops and implements ad-hoc and business analytics and reporting on projects of moderate scope
• Own data pipeline and productionizing
• Identify and gain access to sources of data with limited assistance from senior team members.
• Work with internal and external team members to understand the data; present findings to the team.
• Document the acquired data via standard team templates; present findings to the team
• Create appropriate tables and DBs
• Work with internal and external team members to code DS's solution in production system, coach junior team members.
• Acquire data to measure effectiveness of the solution, present findings to internal and external peers, with guidance from senior team members.
• 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
• Strong ability to extract, transform and stage data for consumption by the data scientist leveraging data querying tools
• 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 business analytics of moderate complexity to more senior team members and junior business partners
• Works closely with subject matter experts to understand data sources.
• 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.
• Establishes an internal network and leverages the network of more senior data analysts.
• Provides guidance and mentorship to more junior team members 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:

• Minimum Bachelor’s degree in Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience
• Minimum of 2 years of applicable experience Advanced knowledge of programming languages and concepts (g. Java, Sequel, C, SAS, SPSS, R (different modules) or Python)
• Advanced knowledge of data visualization tools such as Tableau, QlikView, PowerBI
• Advanced knowledge of data transformation to support BI Reporting 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).
• Advanced knowledge in distributed computing - Hadoop/ NoSQL/unstructured data
• Basic understanding of different techniques and knowledge of machine learning algorithms.
• Basic knowledge of AI toolkits.
• Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)

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.

This job description is not a comprehensive listing of all job duties required for this role. We reserve the right to change these duties or assign additional duties at any time with or without notice