Top Data Jobs in Toronto
Seeking a Senior Analyst in Data & Analytics to utilize advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data. Responsibilities include developing predictive models, designing solutions for smarter business decisions, and collaborating with other data professionals to optimize analysis.
The Manager of Data Engineering is responsible for designing and maintaining data infrastructure to support analytics, developing robust data pipelines, ensuring data governance, and leading a team of data engineers. This role entails collaborating with stakeholders to deliver high-quality data solutions and implementing security measures to protect sensitive information.
The Senior Data Scientist will analyze product metrics, develop queries, and create dashboards to support data-driven decisions within Geotab. Responsibilities include interpreting large datasets, writing SQL queries, identifying data quality issues, and collaborating with product teams to understand analytics needs.
The Data Engineer will gather, curate, and preprocess large datasets, ensuring data quality and integrity, analyze datasets using statistical and machine learning techniques, and communicate findings through visualizations and reports, aiding the development of scientific models and pricing platforms.
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.
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.
Develop event-driven distributed systems, build internal tools and libraries, create streaming data pipelines, oversee data systems design and maintenance, collaborate with team for SLOs, maintain and expand systems infrastructure.
The Data Scientist will lead projects using quantitative analysis and data modeling, providing insights for strategic decisions. They will collaborate with various teams to monitor performance metrics, integrate new data sources, and prepare executive-level communications, cultivating a data-driven culture within the organization.
Featured Jobs
The Senior Analyst, Data Scouting will support market data database administration, manage vendor relations, handle administrative inquiries, maintain inventory of contracts and services, ensure data accuracy, and assist with invoice reconciliation. This role demands strong analytical skills and effective communication to foster business relationships.
As an Associate in the Data Scouting team, you will be responsible for strategic data sourcing, managing relationships with third-party data providers, contracting negotiation, and supporting data-driven investment strategies. You will work closely with Business Partners to evaluate and onboard data, enhancing knowledge and adoption of diverse data categories.
As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriverâ„¢ platform, and contributing to hiring and onboarding new team members.
The Staff Data Scientist will lead personalization strategies, utilizing their expertise in data science to improve user engagement and satisfaction. Responsibilities include architecting recommender systems, collaborating with engineers, and presenting solutions to stakeholders, while driving innovation in data science practices.
As a Lead Data Scientist at Enable, you will develop and implement innovative AI solutions, collaborate with engineering teams, and shape processes within a cutting-edge ML and Data Science team, focusing on optimizing rebate management through advanced data analysis and machine learning techniques.
As a Principal Data Scientist II - AI Architect, you will define and drive AI technology and architectural directions, collaborate on AI use case development, lead integration efforts across the Seismic platform, provide technical leadership, and foster product innovation in AI-driven solutions.
The Data Analyst will develop and maintain dashboards, extract insights, create visualizations, and collaborate with cross-functional teams to meet business needs. This role focuses on using data to enhance decision-making and optimize processes.
As a Data Engineer, you will design, build, and deploy a modern data stack, focusing on CDC ingestion, centralized data lakes, and processing pipelines. You will collaborate across teams to optimize data workflows and improve data accessibility, while ensuring the reliability of data systems and enhancing customer satisfaction.
As a Manager of Data Development at Moneris, you will lead a team to manage database projects and data needs, advocate for data platform roadmaps, and ensure alignment with business objectives while optimizing data reuse and accessibility. You will resolve complex issues and partner with senior leaders for strategic input and buy-in.
The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.
The Data Analyst will analyze complex data sets to solve business challenges, using advanced statistical techniques and data visualization. The role involves leveraging data to drive business strategies, collaborating with different teams, monitoring metrics, and ensuring data quality.
As a Data Analyst, you will enhance operational efficiency by improving the Data Analytics stack, while working on reducing query times, solving data-related issues, and building data models. You'll present analyses and insights to stakeholders and mentor junior analysts, while staying abreast of trends in media and sports betting.
As a Multilingual Data Specialist, you will manage the collection of training and testing data for ASR and NLP model development in multiple languages, focusing on accuracy and adherence to project requirements. You will collaborate with various teams, train annotators, and ensure data quality throughout project lifecycles.
As a Data Analyst at AppLovin, you will analyze product funnels, identify trends, collaborate with teams to enhance product features, and monitor key performance metrics to uncover growth opportunities. You will work closely with senior leadership to conceptualize and implement innovative ideas that improve client revenues.
As a Senior Data Engineer, you will design and build data pipelines, manage databases, and optimize data operations using various AWS services and data technologies. You will work on both structured and unstructured data to improve data quality and governance, and create tools to enhance analytics capabilities across the enterprise.
The Global Data Analyst supports Purchase To Pay business processes within SAP by implementing master data governance strategies, conducting data quality assessments, and ensuring compliance with governance policies. They also lead projects in collaboration with IT and other stakeholders, providing user education and supporting data management efforts.
As a Senior Game Data Analyst, you will analyze data to deliver insights that enhance game design and revenue. Collaborating with stakeholders, you will define KPIs, ensure data quality, and translate business needs into technical requirements, while overseeing the analytics processes for PlayStation Studios.
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