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Tiger Analytics

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We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.

Santa Clara, CA

Business Consulting and Services
5,001+ people

About

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

Open positions

Senior Data Scientist - Operation Research

Remote · Toronto, Ontario, Canada

The Senior Data Scientist will refactor optimization algorithms using Python and develop predictive models to solve complex supply chain and pricing challenges. They will collaborate with cross-functional teams to translate business requirements into actionable, data-driven solutions.

GenAI Data Engineer

On-site · Toronto

The Data Engineer will be responsible for designing, building, and maintaining data pipelines, integration processes, and infrastructure, collaborating with data scientists and analysts to ensure efficient data flow. This includes designing robust pipelines for unstructured data ingestion, processing, and storage within Snowflake and GCP, leveraging advanced capabilities.

Data Engineer - Snowflake

On-site · Toronto

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities, focusing on generating insights to solve business challenges. This includes creating and optimizing complex data processing and transformation pipelines using Python and SQL.