Top Data Science Jobs in Toronto
Lead Data Scientist role at Sanofi in Toronto, ON. Responsible for providing technical leadership, developing AI and machine learning models, mentoring team members, and integrating solutions into project architecture. Requires a Ph.D. or Master's degree in Data Science or related field, 3-5 years of industry experience, strong programming skills in Python, and experience with big data technologies.
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Seeking a Senior Data Scientist to join the Intelligence team at Braze, focusing on ML and AI enhanced marketing solutions to improve customer engagement at scale. Responsibilities include collaborating with Product Managers and Engineers, analyzing data points, and building and iterating on predictive models.
As a Senior Data Scientist at Cash App, you will analyze large datasets, apply statistical modeling techniques, design and analyze experiments, build metrics, and communicate insights to stakeholders. You will work on the peer-to-peer lending product and collaborate with cross-functional teams to improve customer experience.
The Senior Data Scientist will work in the Cash App Support organization, analyzing large datasets to derive actionable insights and improve customer experience. Responsibilities include partnering with customer support team, conducting statistical modeling, designing A/B experiments, and communicating findings to stakeholders. Requires a bachelor's degree in statistics or related field with 5+ years of experience, proficiency in SQL and data visualization tools, and experience with scripting languages like Python or R.
Lead data projects, apply advanced data science techniques, develop strategies for statistical analysis and AI tools, support ML and AI initiatives, interface with senior management, and supervise indirect hires.
Senior BI Engineer partnering with Growth Marketing team to analyze data and drive business growth. Responsible for data strategy, pipeline development, and tool creation. Requires 5+ years of industry experience in building complex ETLs.
Senior Data Engineer role at Cash App within the Cash Data Science - Data Engineering & Empowerment Team. Responsibilities include data procurement, processing, and curation, working with various stakeholders, writing code in Python and SQL, maintaining AWS cloud platform, mentoring team members, and participating in support rotations. Looking for a professional with 5+ years of industry experience in data, analytics, and AI/ML, proficient in data concepts and technologies such as Python, Spark, SQL, AWS, Terraform, Databricks, Airflow, Snowflake, Postgres, and experienced with CI/CD, cloud infrastructure, distributed data processing, and Agile methodologies.
Lead data science initiatives at Stripe, identifying and solving company-wide problems through data science solutions. Provide technical direction, mentorship, and contribute to the overall data science strategy and roadmap. Inspire best practices and innovation within the data science team.
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As a Data Engineer at Movable Ink, you will be responsible for modeling ingested data, implementing data pipelines, creating data products, and collaborating with various teams to drive data-driven decisions. The company specializes in content personalization through data and AI decisioning.
The Data Engineer will work closely with various departments to meet data requirements for analysis and modeling. They will be responsible for developing and maintaining data pipelines related to production processes, part data, and sustainability efforts within the company.
Lead Data Management Consultant proficient in Python scripting, responsible for driving discussions on use case development, scripting automation, consulting, and influencing product development on the Workiva Platform. Provide implementation services, share knowledge, and create documentation and analytics for data management solutions.
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Join Square as a Senior Data Engineer on the Marketing Data Engineering team. Responsible for building and maintaining data infrastructure to drive revenue growth and accelerate seller acquisition. Work on end-to-end data flow for Marketing public web event data, design and maintain data pipelines, analyze new data sources, and assist in interpreting data trends.
The Staff Data Scientist, Dashboard Analytics at Square will work on optimizing growth and engagement across the Square ecosystem by conducting experiments, distilling data into insights, and influencing decisions with actionable recommendations. Responsibilities include data-driven decision-making, building foundational metrics, implementing product event logs, and communicating analysis to high-level partners.
Join Square's Risk Data team as a Senior Data Scientist focusing on identifying and preventing fraud & credit risks. Lead experimentations, develop data pipelines, and collaborate with various teams to influence Square's global Risk roadmap.
Data Science Manager responsible for leading a team of data scientists and driving efficient data solutions. Collaborates with stakeholders across the organization to enhance data-driven decision-making. Manages team processes and recruits new talent. Requires 10 years of overall data science experience and 3 years of direct management experience.
The Director of Data Science at Visa Consulting and Analytics will lead high impact projects for clients in the North America region, focusing on solutions for Merchants & Co-Brand Partners. Responsibilities include developing initiatives for sustainable growth, product development, customer acquisition, and profitability enhancement.
The Advanced Analytics and AI team at CIBC is seeking professionals with practical experience in Advanced Data Science to solve challenging business problems using advanced modeling and innovative solutions. The role involves collaborating with various teams, working with structured and unstructured datasets, and deploying end-to-end solutions.
Lead and develop a high-performing data science team focused on advertising initiatives, drive data-driven decision-making, optimize ad performance, and ensure alignment with ethical standards. Develop predictive models, algorithms, and metrics for ad personalization while safeguarding user privacy. Partner with Product and Engineering teams to shape and deliver the ads strategy.
As a Data Scientist Intern at Magna Exteriors, you will support Industry 4.0 and AI initiatives to optimize manufacturing processes for exterior trim parts. Responsibilities include analyzing large datasets, developing data-driven models, implementing AI algorithms, and communicating findings to stakeholders.
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.
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.
Seeking a passionate and innovative Senior Data Scientist to problem solve, analyze, design, implement, and monitor machine learning applications using cutting-edge tools and algorithms. Responsibilities include interacting with internal partners, preparing and integrating data, developing machine learning models, deploying solutions, monitoring performance, and driving innovation.
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 our team as a Senior Data Scientist where you will work on leveraging data to make strategic business decisions using techniques like machine learning, statistical modeling, and optimization. Collaborate with various teams to develop predictive models and innovative data strategies to understand consumer trends and address business problems.
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.
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