Big Data Scientist Jobs
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Huawei Canada-Markham
and developments for big data and AI systems in both industry and academia, conduct in-depth insight and survey analysis, and identify the direction of key cutting-edge technologies for AI-powered big data systems.
2. Collaborate closely with stakeholders...
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LanceSoft Inc-Toronto
Scientists, Software Engineers, and AI/ML Product Managers, committed to understanding global business challenges and transforming insights into impactful software solutions.
We are looking for a highly skilled and bilingual Data Scientist to join our team...
Insight Global-Canada
Title: Data Scientist
6 months contract to hire
Location: Remote, prefer if physically in Vancouver
Time zone: PST or MST flexibility
Day to Day
Insight Global is looking for a Data Scientist to join a large AAA gaming company remotely...
Hire DigITalent Inc.-Toronto
with natural language processing (NLP) techniques.
Familiarity with big data tools such as Spark or Hadoop.
Contributions to research papers, conferences, or open-source projects.
Why Join Us?
Lead a team of talented data scientists working on cutting-edge...
Groom & Associates-Toronto
Conduct A/B tests or other experimental approaches to identify root causes of issues, reporting findings to senior data scientists.
13. Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
14. Collaborate...
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Canadian Imperial Bank of Commerce-Toronto
please visit CIBC.com
What you’ll be doing
We are seeking a Senior Data Scientist to drive the development of our AI-powered Marketing Engine, a critical capability in our journey towards a digital centric, world-class marketing vision. Reporting...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
• Experience with big data technologies like Hadoop, Spark...
Millennium Software and Staffing-Toronto
scientists, and application developers to understand their requirements and provide support for their big data initiatives.
Implement and manage backup and recovery strategies for Hadoop data and metadata.
Stay up-to-date with the latest Hadoop and big data...
Retailogists-Kitchener
Experience Level: Senior (5+ years)
Retailogists is a fast-growing startup at the intersection of retail consulting and technology. We combine deep retail domain expertise with technical excellence in big data, full-stack engineering, and AI/ML...
Hays-Canada
inference systems
• Experience with distributed computing frameworks (Spark) and big data processing
• Familiarity with Apache Airflow (Cloud Composer) and CI/CD pipelines
What you'll get in return
• Competitive salary and benefits package
• Opportunities...
Jace Holdings Ltd.-Toronto
Data Scientist - Optimization - Retail Operations
Requisition ID: 188225
Career Group: Corporate Office Careers
Job Category: Data Science - Retail Operations
Travel Requirements: 0 - 10%
Job Type: Full-Time
Embark on a rewarding career...
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Geotab-Oakville
with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab.
Who you are: Geotab is seeking a Senior Data Scientist, Generative AI who will design and develop generative AI models using advanced...
T-Net British Columbia-Vancouver
and high availability in big data environments.
This is an opportunity to work alongside some of the best data scientists in Vancouver and apply your craft in an environment that encourages creative thinking and collaboration.
Your job:
• Work closely...
appcast.io -
Wayfair-Toronto
and experience working with big-data technology such as BigQuery and visualization tools including Looker; ideally familiarity with cloud-based platforms (we use GCP).
Demonstrated success in communicating with and influencing senior level stakeholders...
Capgemini-Vancouver
ingestion and workflow orchestration using Data Factory or Dataflows
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver appropriate solutions
• Document data engineering processes...
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