Top Data Science Jobs in Toronto
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Lead the design, analysis, and interpretation of experiments, develop statistical models and machine learning algorithms, analyze large datasets, and drive high-impact data projects.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
The Engineering Lead Manager, Data Science role at Index Exchange involves ownership over the research, development, and production of ML and data science algorithms and usage of data pipelines. The role requires technical leadership and hands-on experience in guiding others in charting technical paths for products, systems, and architectures. The position is critical for the efficient and reliable operation of the company's global data centers and exchange.
Hiring a Principal Data Scientist with expertise in machine learning and AI, and experience in developing production quality solutions with a business impact. Seeking someone with industry experience in Financial, Logistics, Supply Chain, or ERP sectors. Responsibilities include leading data-science projects, data preparation, modeling, and statistical analysis.
As a Data Scientist at Pinterest, you will shape the future of products by utilizing quantitative modeling, experimentation, and algorithms to solve complex challenges. Your work will influence product development and bring greater scientific rigor to real-world products serving millions of users worldwide.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
As a Data Scientist at Momentum Financial Services, you will develop and implement models across the lending portfolio, analyze diverse datasets, collaborate on the model lifecycle, and stay current with industry best practices.
Clio is seeking a Senior Data Scientist to join their Data Insights team, collaborating with product and business teams to extract valuable insights and enhance decision-making processes. The role involves developing AI and ML solutions to understand customers and drive growth empirically. The ideal candidate is passionate about innovating with data, strategic, self-motivated, and agile. Responsibilities include collaborating with product teams, building AI solutions, applying statistical analysis, and fostering a scientific culture within teams.
Lead R&D for new and existing data science powered products, collaborate with engineering and product teams, provide technical expertise and support, educate colleagues in other departments about data science in marketing and advertising.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Avetta is seeking a Senior Data Analytics Developer with 5+ years of experience in analytics and databases to collaborate with Product Teams in creating innovative data analytics solutions.
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Join StackAdapt as a Data Scientist/Senior Data Scientist to innovate ML algorithms, write production code, and prototype potential algorithms and pipelines. Remote First company open to candidates anywhere in Canada. Requires Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field.
Design and optimize data pipelines, work with various data sources, develop and deploy ETL processes, and improve data management processes in a data-driven environment.
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Seeking a Senior Analytics Engineer to lead data modeling and data processing initiatives for small and medium businesses. Responsible for building scalable data models and pipelines, optimizing processes, ensuring data quality standards, and embracing emerging technologies. Requires 4+ years of experience in analytics and data engineering roles.
Lead R&D for new and existing data science powered products, collaborate with engineering and product teams, provide technical expertise for non-technical stakeholders, educate colleagues on data science in marketing and advertising.
Join Wealthsimple's Data Science team to drive decision-making for Investing and Banking products by building data models, applying statistical techniques, and collaborating with product teams. Influence strategic decisions through data analysis and machine learning solutions. Requires strong Python, SQL, statistical, and machine learning skills.
Seeking a Senior Analytics Engineer to lead cross-team projects, build scalable data models and pipelines, optimize data processes, ensure data security and quality standards, and embrace emerging technologies. Requires 4+ years of experience in analytics & data engineering roles, strong communication and leadership skills, proficiency in Python and SQL, and deep knowledge of data warehousing and big data technologies.
Develop reusable reporting solutions, design and implement efficient data solutions, document data mart framework, develop complex data marts and stored procedures, work on database monitoring and optimization, collaborate with Data Engineering and Governance team, research on industry trends and best practices
Seeking a Senior Data Engineer to design, implement, and maintain data pipelines for healthcare data. Responsibilities include ETL pipeline development, data governance, technical leadership, and troubleshooting. Qualifications include 5+ years of data engineering experience, proficiency in Python and SQL, and familiarity with data warehousing concepts and cloud platforms.
Looking for a Principal Data Scientist experienced in supply chain optimization and inventory allocation, with strong coding capabilities in Python.
Coordinate with data scientists, data analysts, software engineers, and product managers to design and evolve data architecture, build and scale ETL pipelines, maintain data infrastructure systems, write tools in Python, research new technologies, and advocate for tool adoption within the data engineering team.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Lead the design and implementation of reliable data pipelines, data storage solutions, data modeling, and integration technologies. Manage specific data pipelines, optimize data processes, identify improvements, automate data processes, and collaborate with teams to articulate data strategies. Promote best practices in data engineering, cloud infrastructure, networking, and security.
The Data Scientist II-Distributed Computing role at The Trade Desk involves developing algorithms for real-time bidding platforms to help customers run effective advertising campaigns. Responsibilities include working closely with engineering, designing, researching, building, and delivering data-focused products.
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