Hudson’s Bay Company Hiring for SVP, Data Science at Toronto, Ontario Full Time

Reporting into a C-Suite Executive, Data Science for The Bay business is responsible for the strategic leadership of the company’s Data Science function and provides guidance & advice to the CEO and other members of the executive team, deriving insights and meaning out of that data to support strategic short and long-term decision-making.  The position oversees high level relationships and interprets results for internal teams to support in making strategic decisions and driving the business forward.

The incumbent will bring different skills including statistics, business acumen and computer science along with a strong digital-focused mindset. This executive knows how to get into the details, while still being able to operate at 30,000 feet. 

Duties & Responsibilities:

• Live our One Team strategy as a culture builder and transformative leader

• Provide the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. 

• Continuously improving the business’s data analysis model, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning in the department

• Engages stakeholders and champions the design and development of data science initiatives. 

• Researches and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. 

• Oversee the identification and integration of technology advancements that support the organization’s delivery of services and products. 

• Lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.

• Builds team capability with mentoring, coaching, and professional development.  Enable the team to develop custom models and algorithms to uncover insights, trends, and patterns in the data, which will be useful in availing informed courses of action.

• Master’s degree in computer science, mathematics, engineering, or related area preferred. 

• 15 + years of professional experience, including statistics and analytics experience.

• Minimum 7 years management experience in high performing organizations

• Strong knowledge of analytics and statistical software 

• Exceptional integrity, with the ability to stay true to one’s own cause and purpose while incorporating the opinions, needs, and feedback of others

• The desire and ability to work collaboratively and virtually with staff members across teams

• Strong leadership skills, with an ability to lead a cross-functional group in a unified direction as well as an ability to influence and move top business leadership and executives. 

• Extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as using advanced statistical methods, data mining techniques, and information retrieval. 

• Experience in analyzing and manipulating large, complex, high-dimensional data from numerous sources.

• The candidate must also be highly familiar with modern machine learning techniques for classification and regression as well as knowledge of A/B testing, experimental design, and general statistical modeling.

• Exceptional communication skills in order to be able to tailor and convey technical messages in a clear and understandable manner, leading to business-wide improvement of data management, informed decision making, and ultimate improvement in performance.