- Develop and evolve the Data Science vision, strategy, and roadmap in collaboration with stakeholders
- Act as the Data Science and Machine Learning subject matter expert with a deep understanding of models/algorithms, data architecture, business processes/operating models, as well as technology integrations to deliver value for the organization
- Establish a Data Science Community of Practice within Cineplex to facilitate the sharing of standard models and capabilities, best practices, and emerging industry-leading innovation
- Lead and develop a team of Data Scientists and Machine Learning Engineers to ensure continuous learning and effective resource management
- Coach, mentor, and upskill team members to support their personal and professional career goals
- Set clear and measurable goals and objectives that are aligned with the organization's strategic priorities, as a team and individual team members
- Responsible for the timely delivery of Data Science projects and roadmap, including operationalizing models into production for business use
- Collaborate with cross-functional stakeholders to understand their needs and communicate findings/solutions to influence business decision-making
- Communicate overall program milestones, accomplishments, learnings, and opportunities to foster a data-driven culture
- Bachelor/Master's in Engineering, Computer Science, Statistics, Mathematics, or related technical specialty
- 7+ years' experience in data science with demonstrated experience of delivering impactful solutions into operational processes
- 3+ years' experience of managing a team of data scientists
- Experience in data cloud technologies (i.e. Azure, Databricks, Snowflake)
- Deep understanding of data science/machine learning techniques and building/managing predictive and optimization models
- Excellent communication and interpersonal skills to convey complex concepts in simple terms to non-technical stakeholders and executive leadership
- Strong planning, coordination, prioritization, and project/program management skills with exceptional attention to detail
- Comfortable with managing parallel streams of work with the ability to perform effectively in an environment with many competing demands
- Effective leadership skills to foster a strong team culture and team development
- Proven ability to work creatively and analytically in a cross-functional, problem-solving environment
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Sr. Manager, Data Science - Toronto, Canada - Cineplex
Description
Work location:
Home Office 1303 Yonge StCity:
TorontoWhat you will do:
Sr. Manager, Data Science
Hybrid work environment 3 days per week from the Cineplex corporate headquarters at 1303 Yonge Street, Toronto (Yonge and St. Clair).
The Sr. Manager, Data Science will join the Data Insights & Monetization leadership team to enable the organization with industry-leading data science capabilities to optimize the customer experience.
The successful candidate will play a leadership role in evolving the data science models and capabilities for Cineplex, managing a high-performing team that can execute end-to-end project delivery and adoption, and leading the enablement of best practices and latest innovation across the wider organization. The Sr. Manager is responsible for developing and delivering the short- and long-term capabilities roadmap, building a highly engaged team, and partnering with cross-functional stakeholders as the data science subject matter expert to drive incremental business value.
Key Responsibilities:
Strategy & Thought Leadership
People Leadership & Team Development
Delivery & Collaboration
Education and Certification:
Experience:
Knowledge, Skills and Abilities:
Inclusion & Diversity
Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.
Accessibility
While we appreciate all interest, only those candidates selected for an interview will be contacted.