Top Data Jobs in Ottawa

As a Data Scientist at Instacart, you will own analytical frameworks that guide the product roadmap, design and interpret experiments, develop statistical models, and enable objective decision-making through data democratization. You will also leverage your skills in causal inference and machine learning to inform product improvements and present findings to leadership.

The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.

The Senior Data Analyst will enhance the Developers and App Marketplace Analytics team by overseeing dashboards, ensuring data quality, and enabling data-informed decision-making. Responsibilities include developing databases, writing SQL queries, uncovering insights on developer experiences, assessing the impact of product features, and collaborating with various teams to evaluate marketing efforts.

As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.

As a Senior Data Scientist, you'll own marketing holdout reviews, build models to optimize marketing ROI, design A/B experiments, analyze large datasets, influence marketing roadmap decisions, and create impactful data visualizations while collaborating with cross-functional teams to drive user acquisition efforts.

The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.

As a Senior Data Scientist in Lifecycle Marketing, you will leverage data science to enhance Cash App's marketing strategies. Responsibilities include optimizing marketing efforts through model building, analyzing A/B experiments, processing large datasets using SQL and programming languages like Python, and creating insightful visualizations. Your role will impact decision-making and influence the marketing roadmap based on data-driven insights.

The Senior Data Scientist will lead the development and implementation of advanced AI solutions, focusing on building cloud-native AI systems and algorithms that drive business value. Responsibilities include designing models, conducting research, collaborating with teams, and ensuring the quality and accuracy of AI processes from data acquisition to deployment.