338 Data Scientists jobs in Canada

Description Are you an influential Architecture leader with a passion for leading strategic initiatives that make a huge impact? We are hiring a Senior Data Solution Architect, who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands. Design, implement, and deploy data platforms at scale in both public and private clouds
Provide support in the clients decision-making process by being a trusted technical advisor
Guide customers on establishing their data practice on an enterprise level by analyzing their data strategy, data governance, data architecture, master data management and data quality management
Drive and execute technical streams of data strategy engagements
Educate clients on modern technologies, architecture and approaches for data & analytics by explaining their value for business
Lead discovery sessions & customers workshops as well as present the proposed solutions
Understand clients business problems and propose technical solutions to address them
Define common business and development processes as well as platform and tools usage for data acquisition, storage, transformation, and analysis
Communicate different solutions and technology options by articulating short and long-term consequences & the impact on client business
Develop roadmaps and implementation strategies around data & analytics initiatives
Create proposals for implementation and design of scalable data platform architecture
Perform maturity level assessment of clients data capabilities & create architecture documentation
Extensive experience working as a Solution Architect with strong background in data & analytics
Highly skilled in designing, developing, and maintaining enterprise scale data platforms
Expert with big data technologies and frameworks such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage, Databricks, Snowflake, Apache Spark, Kafka
Experience with Big Data solutions developed in large Azure cloud computing infrastructures
Exposure to Machine Learning, Recommendation Engines, Search Personalization and Deep Learning
Strong understanding of client-driven large-scale implementation projects
Knowledge of design patterns, refactoring concepts, unit tests, and CI / CD
Background in programming and knowledge of scripting languages such as Java, Python or Scala
Ability to lead & manage teams with a deep understanding of Agile (Scrum) and common SDLC practices
Practical expertise in performance tuning and optimization, bottleneck problems analysis and troubleshooting
Comfortable with up to 20% travel
Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)
Maternity / Parental / Adoption Leave Top-up
Life and AD&D Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Long-Term Disability
Registered Retirement Savings Plan (RRSP) with company match
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

This posting includes a good base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training,; the demand for the role, skillset, and overall business and local labour market considerations.

Huawei Canada has an immediate permanent opening for a Technical VP.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Conduct in-depth analysis of mainstream products and advanced technologies in the data domain. Achieve groundbreaking innovations in big data engine, data-AI integration, large model data engineering, and software-hardware co-design on heterogeneous platforms. Explore the evolution direction of AI and big data, and drive the development of data and cutting-edge technologies.

• Develop comprehensive AI big data technology strategies and roadmaps, acting as a visionary in technical aspect to achieve commercial success. Lead the development of data domain products and build industry-leading big data + AI products to meet data processing requirements in the era of large models.

• Be responsible for attracting global talent and assembling a first-class research team. Lead the team to deliver competitive high-quality data domain products, ensuring the leading position in the market. As the director of the Big Data Committee, preside over major technical solution reviews and decision-making processes.

• Participate in big data industry and academic conferences or communities, and leverage open-source platforms/projects to enhance the influence of Kunpeng Architecture and its ecosystem in the big data domain.

Description Are you an influential Architecture leader with a passion for leading strategic initiatives that make a huge impact? We are hiring a Senior Data Solution Architect, who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands. Design, implement, and deploy data platforms at scale in both public and private clouds
Provide support in the clients decision-making process by being a trusted technical advisor
Guide customers on establishing their data practice on an enterprise level by analyzing their data strategy, data governance, data architecture, master data management and data quality management
Drive and execute technical streams of data strategy engagements
Educate clients on modern technologies, architecture and approaches for data & analytics by explaining their value for business
Lead discovery sessions & customers workshops as well as present the proposed solutions
Understand clients business problems and propose technical solutions to address them
Define common business and development processes as well as platform and tools usage for data acquisition, storage, transformation, and analysis
Communicate different solutions and technology options by articulating short and long-term consequences & the impact on client business
Develop roadmaps and implementation strategies around data & analytics initiatives
Create proposals for implementation and design of scalable data platform architecture
Perform maturity level assessment of clients data capabilities & create architecture documentation
Extensive experience working as a Solution Architect with strong background in data & analytics
Highly skilled in designing, developing, and maintaining enterprise scale data platforms
Expert with big data technologies and frameworks such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage, Databricks, Snowflake, Apache Spark, Kafka
Experience with Big Data solutions developed in large Azure cloud computing infrastructures
Exposure to Machine Learning, Recommendation Engines, Search Personalization and Deep Learning
Strong understanding of client-driven large-scale implementation projects
Knowledge of design patterns, refactoring concepts, unit tests, and CI / CD
Background in programming and knowledge of scripting languages such as Java, Python or Scala
Ability to lead & manage teams with a deep understanding of Agile (Scrum) and common SDLC practices
Practical expertise in performance tuning and optimization, bottleneck problems analysis and troubleshooting
Comfortable with up to 20% travel
Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)
Maternity / Parental / Adoption Leave Top-up
Life and AD&D Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Long-Term Disability
Registered Retirement Savings Plan (RRSP) with company match
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

This posting includes a good base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training,; the demand for the role, skillset, and overall business and local labour market considerations.

Huawei Canada has an immediate permanent opening for a Senior Researcher.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Track the emerging technical trends 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.

• Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.

• Analyze and define key software requirements and features, develop the proof-of-concept (PoC) AI-powered big data system infrastructure (based on our existing infrastructure) and optimize its performance and performance per cost.

• Integrate the PoC system into our existing product and deliver it to the production team.

• Generate intellectual property such as patents and trade-secrets from research findings, and/or publish papers in peer-reviewed scientific journals/conferences.

• Present research findings at conferences and participate in research collaborations with external research institutes and universities.