Top Data Science Jobs in Toronto
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
As the Engineering Lead Manager of Data Science, you will oversee the research, development, and production of machine learning and data science algorithms, managing extensive data pipelines and processing billions of auction events in a reliable system. Your leadership will guide a team in creating technical solutions that ensure global efficiency and rapid response in our operations.
Join a high-performing Risk & Analytics team at Momentum Financial Services to leverage Artificial Intelligence and Machine Learning. Responsibilities include developing quantitative solutions for credit risk management, optimizing origination strategies, and analyzing customer data to improve profitability and customer experience.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.
Lead Data Scientist responsible for running A/B tests on the DaVinci personalization product, conducting deep dives into data to identify optimizations, and driving improvements to the modeling solutions. Must have 5+ years of industry experience in analytics and machine learning systems.
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Lead a team of data scientists and engineers to develop budget optimization algorithms and forecasting models, enhance audience segmentation efficiencies, and drive analytics solutions for improved advertising performance while mentoring team members and fostering innovation.
The Data Science Lead - GenAI is responsible for leading the development and deployment of advanced machine learning solutions, particularly focusing on Generative AI models. This role involves designing ML models, collaborating with cross-functional teams, evaluating model performance, and ensuring seamless integration of ML models into production systems.
Lead analytics and data science projects in a managerial role, overseeing a team of analysts. Responsible for model development, performance tracking, and effective data-driven decision-making while ensuring compliance with regulations. Collaborate with various departments, guide problem-solving efforts, and engage with external vendors for data solutions.
The Senior Data Scientist will lead data projects in manufacturing and vehicle analysis, utilizing advanced data science and analytics techniques. Responsibilities include developing strategies for machine learning applications, executing simulations, supporting AI initiatives, and interfacing with senior management.
The Senior Data Scientist in Privacy Engineering will assess and optimize data privacy measures, improve anonymization algorithms, and analyze generative AI safety. Responsibilities include evaluating data pipelines for compliance, conducting motivated intruder attacks on datasets, designing encryption models, and researching best practices in data privacy and protection.
The Senior Data Scientist will guide the technology strategy for machine learning and optimization at Index. The role involves understanding business objectives, generating scientific hypotheses, and utilizing analytical and statistical skills to solve large-scale challenges in a high-performance environment.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
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