Top Data Jobs in Toronto
Capco is looking for an experienced Data Lead Business Analyst to work with financial services clients on mission-critical projects. Responsibilities include leading project teams, defining client roadmaps, gathering requirements, and shaping digital transformations. The successful candidate should have at least 10 years of business analysis experience and expertise in project structuring and user story writing.
Seeking a Principal Data Scientist to lead the predictive analytics practice in the Data & Analytics team, focusing on operationalizing ML models for core financial metrics and customer consumption forecasts. Responsibilities include refining time series forecasts, partnering with Data Engineering, and collaborating with various teams to improve model performance.
Set up predictive models and productionalize MLOps pipelines for capital lending product, leverage data-driven insights to enhance business strategies, collaborate with cross-functional teams, conduct data analysis using statistical and machine learning techniques, develop predictive and prescriptive models, collaborate with business leaders, validate model performance, and monitor model performance.
Seeking a Data Scientist with expertise in omics data analysis to join a global healthcare company in Toronto, ON. Responsibilities include developing data processing algorithms, interpreting data, and collaborating with data engineers. Qualifications require an advanced degree in a related field, 2 years of industry experience, and proficiency in ML, AI, and statistical methods for bioinformatics.
Automate manual processes through SQL and Python, design ETL solutions, analyze and extract data, create data visualizations, work with Google Analytics, and manage data infrastructure. Bachelor's or Master's degree in relevant field required. Must have 2-4 years of experience in digital marketing analytics.
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.
As a Principal Research Data Scientist at Coalition, responsible for measuring, understanding, and optimizing data usage for cyber insurance. Leading projects using quantitative analysis, creating risk signals, designing data models, and mentoring junior employees. Contributing to the culture of data excellence on the team.
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.
Featured Jobs
Seeking a Manager in Data Analytics to utilize advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data. Responsible for designing new processes for modeling data, developing predictive models, and leveraging big data technology to improve business decisions and drive productivity. Collaborates with other data professionals to optimize and scale analysis into mature analytics solutions.
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.
Looking for a Junior Data Analyst to manage, analyze, and clean data on a real-time basis, collaborate with team members, and perform ad-hoc data analysis primarily in Papua New Guinea for Enveritas. Responsibilities include leading data quality processes, coordinating field teams, conducting research, and supporting special projects.
Lead cross-functional projects using quantitative analysis and advanced data modeling to guide strategic decisions for security and underwriting business. Collaborate with teams to report on KPIs and metrics anomalies. Analyze disparate data sources and contribute to the culture of data excellence within the team.
As the Director of Analytics & Data, you will develop and implement a data and analytics strategy that aligns with the organization's goals. Responsibilities include leading a multidisciplinary team, translating data sources into business insights, implementing reporting solutions, overseeing data architectures, defining KPIs, managing relationships with vendors, and ensuring data quality.
Teach a 12-week Data Science Diploma program, mentor students, develop curriculum, work on educational content, apply Agile Education methodologies, collaborate with other educators, define the education experience of the future
Seeking a full-time Associate Educator to contribute to BrainStation’s Data Science Diploma program by delivering lectures, mentoring students, and continuously improving the educational experience. The role involves applying agile education methodologies, building digital tools, and shaping the future of education.
Maintain and improve data consistency, quality, and security in enterprise systems. Complete Yardi set-ups and updates, ensure accuracy of tenant set-ups, and support month-end activities. Collaborate with various teams for data governance and business requirements. Requires 2-4 years of experience in Commercial Real Estate and strong computer skills, including advanced Excel knowledge.
The Data Implementation Analyst will lead data audits, develop data solutions, manage data projects, build data capabilities, analyze and report on data findings, and explore new data initiatives. This role is part-time remote with potential for full-time in the future.
Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.
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.
Passionate Data Analyst needed to join a dynamic team, utilizing skills in SQL and Python to collect, compile, and analyze organizational data. Responsible for supporting business plans, conducting data analysis, and providing data-driven recommendations for decision-making. Must have strong communication skills in French and English.
As a Senior Data Scientist at Homebase, you will work on solving critical business problems using data analysis and data science. You will develop metrics to assess ML model impact, communicate results to non-technical audiences, and collaborate with cross-functional teams to productionize data science models.
Join eBay as a Data Scientist/Senior Data Scientist focused on improving the Trust organization's execution framework using processes, systems, and data. Partner with various teams to drive insights, advise marketplace decisions, and ensure solutions meet goals. Create infrastructure and strategies for measurable impact and represent international teams' needs.
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.
Senior Data Scientist role at Pinterest in the Shopping org, responsible for shaping the future of products through quantitative modeling, experimentation, and algorithms. Collaborate with cross-functional teams to solve complex engineering challenges and bring scientific rigor to product development. Analyze data at scale and communicate key insights to drive product enhancements and experiences on Pinterest.
As a Data Engineer at Xanadu, you will contribute to the platform and infrastructure for software and hardware products, working on tasks like data management, designing data pipelines, and enabling quantum hardware operation. Required qualifications include a BSc in a related field, 3 years of experience, expertise in Python, SQL, and ETL processes, and proficiency in data modeling concepts and cloud environments.
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