Manager, Machine Learning and Advanced Analytics
3 weeks ago
Company Description
At Maple Leaf Sports & Entertainment Partnership (MLSE), we are committed to creating an inclusive workplace that is representative of our community and where all employees feel they belong and can reach their full potential. We are Canada’s preeminent leader in delivering top quality sport and entertainment experiences and one of North America’s leading providers of exceptional fan experiences. We are the parent company of the National Hockey League’s Toronto Maple Leafs, the National Basketball Association’s Toronto Raptors, Major League Soccer’s Toronto FC, the Canadian Football League’s Toronto Argonauts and development teams with the Toronto Marlies (American Hockey League), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.
MLSE owns and/or operates all the venues our teams play and train in, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. We also provide fans in Toronto with incredible live music and entertainment events, as well as exceptional culinary experiences through our restaurants (e11even and RS) and clubs (Hot Stove Club, ScotiaClub and Platinum Club). Through MLSE Foundation, we have invested more than $45 million into Ontario communities since 2009 and with MLSE LaunchPad, we provide a place where youth facing barriers use sport to recognize and reach their potential.
We achieve all of this through our Common Purpose - to unite and empower our employees to create extraordinary moments for our fans and each other. Come be a part of the team.
**Job Description**:
Reporting to the Director, Business Analytics, the Manager, Machine Learning and Advanced Analytics, will have the unique opportunity to contribute to the analysis and business process development related to MLSE’s Fans and customers, to create insights to build fan experiences, leading the Analytics team to develop and drive our machine learning roadmap to solve complex business problems. This team will also develop and maintain data pipelines to improve workflows and automate processes wherever possible.
The ideal leader has a passion for data, a proven background in Machine Learning, Data Engineering and a demonstrable record of developing high-performance teams to use data and drive business decisions in a fast-paced environment.
**Responsibilities**:
- Lead a team of analysts who support the reporting and advanced analytics for all collaborators including operations, marketing and digital products
- Establish and prioritize the team's data analysis, statistical modelling, and reporting activities to help develop business strategies and drive data-based decision-making across the organization.
- Develop and implement machine learning best practices and standards.
- Evaluate and implement new machine-learning techniques, tools, and frameworks.
- Define and supervise key performance metrics for machine learning models and algorithms.
- Use Microsoft Power BI, Tableau and other Business Intelligence tools to craft and build executive, sales, marketing, and operational dashboards that provide key insights and performance metrics.
- Establish KPIs and success metrics for initiatives, products, and services, and supervise the design and delivery of reports and insights to key collaborators.
- Collect, transform, and analyze data from traditional data warehouses, big data ecosystems, and cloud data warehouses to produce critical data for business analyst executives and sales, marketing, and operational leaders.
- Conduct in-depth analyses using traditional and sophisticated methods across various data sources and topic areas, including ticketing, digital and social media, retail, and food & beverage.
- Work with cross-functional teams to ensure data quality and consistency, and to identify and address issues as they arise.
- Perform business requirements and project management responsibilities as the need arises.
**Qualifications**:
- Confirmed years of hands-on business intelligence and machine learning experience within a leadership role.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Information Systems is an asset
- Strong technical data capabilities, advanced working knowledge of SQL, SAS, and databases, and the ability to write complex SQL statements to build data tables and produce reports.
- Experience with ETL development, data modeling, data warehousing, and databases in a business environment with large-scale, sophisticated datasets.
- Demonstrable experience and knowledge of modeling techniques, and hands-on statistical modeling (such as regression modeling, a/b testing, significance testing, etc.) is ideal.
- Solid project management skills, with a track record of handling complex projects and driving results in a fast-paced environment
- Superb communication skills
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