Data Scientist
Manulife View all jobs
- Chengdu, Sichuan
- Permanent
- Full-time
- 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
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 wayRequirements:
- 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).