Top Python Jobs in Toronto

The Applied Researcher will develop machine learning models for advertising, lead data analysis, and guide advertisers using innovative techniques. Responsibilities include managing ML system design, translating business challenges into ML problems, and collaborating across teams for technical leadership.

The Senior Software Engineer will architect and deliver a CRM and data platform, automate workflows, and integrate data across systems to support growth in the firm.

The Senior Data Analyst will extract insights from data, create reports, automate processes, and collaborate with analytics teams to enhance data quality and visualization for decision-making.

Lead a team of data scientists to develop machine learning models and advanced statistical solutions for merchandising and marketing. Foster talent development and establish modeling practices to support strategic business objectives.

Lead a data science team to develop machine learning models and advanced analytics for customer engagement, pricing, and loyalty programs, while collaborating across business units to drive insights and improvements.

As a Data Scientist, you will create performance metrics frameworks, analyze datasets, and provide insights to aid product decision-making across SAFE studios.

Develop and execute test plans and automated testing, mentor junior QA engineers, and ensure software meets quality standards and customer requirements.

You will architect a custom browser infrastructure for data aggregation, focusing on maintaining browser fingerprint and bypassing sophisticated security systems.

Design AI algorithms for various applications in site-monitoring, maintain and improve services, and collaborate effectively with the team.

The Senior ML Performance Engineer will architect a Performance Testing Platform, optimize ML performance on GPUs, and validate model efficiency.

This role involves building detection capabilities, optimizing queries, automating workflows, and translating threat intelligence into actionable security analytics across logging platforms.

The Senior Data Scientist will develop growth strategies, build predictive models, and foster a data-driven culture while leveraging expertise in ML and statistical analysis.

The AI Solution Engineer will design and implement AI solutions, develop workflows, collaborate with teams, and maintain AI systems to enhance decision-making and automation.

The Sr. Analyst supports Value Chain performance by analyzing business processes, identifying improvements, and delivering insights through data and collaboration.

As a Staff Backend Engineer, you'll architect scalable backend systems, oversee technical decisions, mentor engineers, and optimize for performance and reliability.

As a Senior Backend Engineer, you will design and build resilient backend systems and APIs, own critical data pipelines, and prepare systems for future data growth while focusing on impact and customer outcomes.

Design, build, and operate backend services and APIs with a focus on data pipelines and system reliability within a small engineering team.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

The Lead Sales Analyst will analyze sales data, optimize revenue strategies, build reporting tools, and influence decisions on sales performance and strategy.

As a Staff AI/ML Engineer, you will design and build AI systems for consumer learning products, integrate foundation models, and ensure product quality through evaluation frameworks while collaborating with cross-functional teams.

Lead engineering teams while contributing hands-on to coding and design, collaborating with product owners, and hiring skilled engineers.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

The Staff Application Engineer will develop critical application features, ensure code quality, and work collaboratively to impact sales compensation solutions.

As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.

The Senior Lead, People Analytics will spearhead data initiatives to influence talent strategies, using analytics to inform executive decisions and improve employee experiences.