Top Tech Jobs & Startup Jobs in Toronto

As a Senior Data Scientist in Lifecycle Marketing, you'll analyze unique datasets to drive marketing insights, optimize ROI, and evaluate campaign impacts through A/B experiments. You'll partner with marketing teams to establish success metrics and communicate findings effectively.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.

The Senior Data Scientist will analyze large datasets using SQL and scripting languages to derive insights, design A/B experiments, and support product development through data-driven strategies. Responsibilities include building metrics, reporting, and creating visual dashboards for stakeholder communication and decision making.

As a Senior Data Engineer at Cash App, you will design, develop, and maintain data products, support analytics, and work on diverse projects involving AWS Cloud Infrastructure, ETL/data modeling, mentoring team members, and collaborating with various stakeholders. You will also manage secure and performant code and participate in after-hours support.

The Senior Data Analyst will lead data-driven decision-making for the Developers and App Marketplace Analytics team. Responsibilities include designing databases, creating dashboards, writing SQL queries, ensuring data quality, and collaborating with Product and Marketing teams to assess new features and GTM effectiveness.

The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks, perform modeling for pricing strategies, and collaborate with cross-functional teams to enhance credit portfolio performance.

The Senior Business Intelligence Engineer will collaborate with the Growth Marketing team and other stakeholders to develop and optimize data strategies and pipelines. This role involves building tools for self-service data access and translating product signals into analytical insights to drive business growth.