Top Data Jobs in Ottawa

As a Sr. Data Scientist at Instacart, you'll own analytical frameworks, design experiments, develop statistical models, and enable decision-making through data democratization while collaborating with cross-functional teams to drive product improvements and influence leadership findings.

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.

As a Senior Data Scientist at Braze, you will collaborate with Product Managers and Engineers to enhance customer engagement using machine learning solutions. You will analyze vast data sets, build predictive models, and iterate on machine learning frameworks to drive data-informed decision-making for clients.

As the Data Engineering Manager at Dandy, you will lead the centralized data engineering team, shape its culture, and establish scalable data processes and infrastructure. You will collaborate with cross-functional teams to optimize workflows, develop a robust data platform, and advocate for a data-driven culture throughout the organization.

As Director of Data Science at Square Point of Sale, you will lead a team of data scientists and analysts, developing data strategies that drive business value. You will collaborate with senior leadership across various domains, enhancing data practices and ensuring the team delivers impactful insights, utilizing machine learning and statistical analysis.

As a Staff Data Scientist at Square Banking, you'll leverage data solutions to enhance loan products, influence product roadmaps, collaborate with cross-functional teams, and define metrics for success while establishing expertise in the loan process from underwriting to recovery.

The Data Engineer will develop and maintain data infrastructure for the Marketing team, ensuring accurate data flows for analytics and reporting. This role involves collaborating with various teams to create efficient ETL processes, manage data pipelines, and support business intelligence needs.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

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 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, 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.

As a Senior Data Scientist at Cash App, you will analyze large datasets, provide actionable insights, design experiments, and work cross-functionally to improve customer experience and drive advertising growth. You will utilize SQL and scripting languages, build dashboards, and communicate findings to stakeholders.

As a Senior Data Modeller II at Tempus, you will manage enterprise data models, collaborate with teams to integrate clinical data, and implement solutions for data transformation and quality monitoring. Your expertise will guide data modeling practices and ensure standards across multiple technologies.

The Data Engineer III at SurveyMonkey will design and build data pipelines, manage data quality, create and maintain data models, and mentor junior engineers. The role involves implementing ETL best practices, writing performant code in Python and Snowflake SQL, and monitoring data pipelines using Airflow.

The Data Engineer III will lead the development of end-to-end data pipelines and analytical solutions, ensuring high reliability and performance. Responsibilities include designing data models, implementing ETL best practices, monitoring data pipelines using Airflow, and mentoring junior engineers.

The Staff Data Analyst - Product will provide advanced analytical support to optimize product development and improve user experiences. Responsibilities include leading product analytics initiatives, conducting performance and KPI analysis, collaborating on impact analysis, conducting A/B testing, customer segmentation, forecasting trends, and mentoring other data analysts.

The Global Business Insight Analyst will coordinate financial data reconciliations and optimize financial processes globally. This role involves designing reconciliation processes, training stakeholders, and developing dashboards for leadership, while ensuring compliance with financial standards. The position requires strong communication skills in English and Spanish, data manipulation expertise, and the ability to engage with global finance teams to improve data quality and reliability.