Data Scientists, Journey Sciences deep dive into customer journeys across products and channels, to identify critical paths, address customer pain points and optimize behaviour-driven engagement. By delivering key insights on customer preferences and behavior, Journey Scientists help develop customer-centric strategies that transform the banking experience and drive revenue growth.

Journey Scientists will collaborate with business partners throughout Personal and Commercial Banking group, to map out customer journeys in big data platforms, design and perform statistical analysis that delivers business value. A successful candidate will combine both business and analytical acumen to lead end-to-end analytical projects.

1. KEY ACCOUNTABILITIES

Analytics and Reporting

Work proactively with business partners to design analytical solutions that address business challenges and achieve strategic goals
Build customer journeys by extracting, transforming and connecting key data points into sequences of events
Leverage enterprise suite of analytics tools to uncover business value using statistical data mining and machine learning techniques
Effectively communicate analytical insights to audiences with varying levels of seniority within the organization
Work collaboratively with cross-functional agile/rapid-action teams to develop action plans with supporting journey insights
Provide expert advice on impact measurement strategy for implemented initiatives and create dashboard/reports for ongoing KPI tracking

Partnership Excellence

Build and deepen relationships with business partners across the organization
Work collaboratively with other analytics professionals across Analytics Center of Excellence to leverage their analytical expertise and create synergy

2. Knowledge And Skills

Job Qualifications

The ideal candidate will have the following experience and skills:

Required

Strong analytical aptitude in statistical data mining and machine learning techniques
Expert working knowledge of data analysis tools, including SAS, SQL, R, Python
Work experience to create effective visualizations, reports, and dashboards with SpotFire, SAS Visual Studio, R
Extensive work experience in data extraction, transformation, and load processes with a variety of data types and large datasets
Strong communication skills, including the ability to simplify complex content into business language for audience of varying seniority, both in writing and orally
Ability to write effective business PowerPoint presentations
Ability to work in an extremely fast paced and constantly changing environment with competing priorities, and proactively drive business outcomes
An undergraduate/masters level background in an analytical discipline such as management analytics, statistics, mathematics, economics, computer science, engineering, or equivalent practical experience

Preferred

Experience with big data technologies – Hadoop (Pig, Hive), Datameer, noSQL/SQL databases, parallel processing techniques, and Apache Spark
Experience in Linux environment and shell scripting
Preference will be given to candidates with relevant Canadian bank analytics expertise

Please send your resume to ian.xxiao@gmail.com before August 23 if you are interested.