Top Tech Jobs & Startup Jobs in Toronto
Looking for a Principal Data Scientist experienced in supply chain optimization and inventory allocation, with strong coding capabilities in Python.
Looking for a Data Product Manager with extensive experience in product management, data analytics, and data science. Responsibilities include translating business problems into analytics solutions, managing analytics projects, and overseeing data foundation design and management. Requires strong SQL skills, experience in agile environments, and ability to engage with executive stakeholders.
The Senior Manager/AD - IOT/Telematics will apply strong expertise in AI through the use of machine learning and data mining to design and develop next-generation advanced analytics engines and services. They will collaborate with teams to define technical problem statements, develop analytical models, and drive future strategies.
Looking for a Manager/Sr. Manager in Digital Analytics with 8-10 years of experience in marketing strategy and program management. Responsibilities include collaboration with cross-functional teams, data analysis, program management, and leadership. Must have strong analytical skills, experience with digital analytics tools, and the ability to convey complex data insights to non-technical stakeholders.
Looking for experienced Data Scientists to join a fast-growing advanced analytics consulting firm. Responsibilities include developing innovative solutions using cutting-edge techniques, collaborating with cross-functional teams, and driving future strategy with analytical skills.
Seeking a Data Engineer with 4+ years of experience in IT industry, expertise in Python, Pyspark, and building data pipelines using Azure stack. Must have strong analytical skills and the ability to align data systems with business goals.
Looking for a Data Engineer with 8+ years of experience in database design, SQL knowledge, AWS cloud services, and object-oriented scripting languages to generate insights and solve business challenges.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities, handling large and complex data sets, building self-service dashboards, using visualization tools, and generating insights to solve business challenges.
Managing large-scale data analytics client engagements, crafting engagement planning, presenting solutions to technology and business audiences, ideating problem solutions leveraging modern trends in data and analytics, collaborating with stakeholders and product managers
Manage large-scale data analytics client engagements, work with business executives to understand requirements, present solutions to technology and business audiences, collaborate with stakeholders, and lead discussions on architecture and cloud solutions.
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