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indeed

Applied Machine Learning Scientist II

TD
Toronto, CAN
Full-time
Onsite
CAD 125,000–154,000
Discovered 1 weeks ago
Machine learningArtificial intelligenceAdvanced analyticsData scienceBig dataData and modelling frameworks

Full Job Posting

Role overview

Provides technical expertise in advanced analytics and machine learning across analytics functions, frameworks, tools, technology, and processes.

Plays a lead role in developing AI/ML systems and translating business objectives into technical solutions.

Works with business owners and multidisciplinary teams to deliver enterprise analytic solutions.

Customer and analytics work

  • Provide expertise in an AI/ML area and deliver insight into leading analytic practices.
  • Design and deliver enterprise analytic solutions for customers.
  • Develop business insights from diverse data using advanced machine learning techniques.
  • Work with business owners to identify opportunities and serve as an ambassador for data science.
  • Lead iterative learning and development cycles and produce new analytic solutions.
  • Collaborate with Big Data developers, engineers, modelers, and other team members.

Governance and collaboration

  • Follow enterprise frameworks and ensure programs and practices meet business needs and applicable requirements.
  • Contribute subject-matter expertise to cross-functional initiatives, research, analysis, and recommendations.
  • Monitor service and productivity, improve processes, and help address performance, risk, and governance issues.
  • Manage stakeholder relationships and support alignment with enterprise and regulatory requirements.
  • Share expertise, support team development, and keep colleagues informed about project progress.

Pay

  • The posted pay range is CAD 125,000–154,000 and reflects a temporary market premium reassessed annually.

Work location

  • The description lists Toronto, Ontario, Canada as the work location.

Requirements

  • Provide technical knowledge and expertise in advanced analytics and machine learning.
  • Translate business objectives into technical AI/ML solutions for complex problems.
  • Work effectively with business owners and multidisciplinary teams, including developers, engineers, and modelers.

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