Top Data Jobs in Ottawa

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.

As a Data Science Intern, you will engage in data analysis, collaborate with teams to improve products, and build dashboards for insights.

The Lead Data Analyst will provide insights using data to improve operations at Forward Financing, utilizing modern tools to build dashboards and analyses.

As a Senior Data Analyst, you will analyze data, develop insights, and create dashboards to support business decisions across departments.

The role involves leading a Product Management team during maternity leave, ensuring delivery excellence and hands-on contribution to client engagements, with a focus on coaching, risk management, and client relations.

As a Data Scientist, collaborate with cross-functional teams to analyze user behavior and drive business growth through data insights.

You will collaborate on integrations, maintain high code quality, and troubleshoot to ensure reliable blockchain data for staking products.

Design and implement next-generation crypto data systems, manage project priorities, mentor team members, and write high-quality code for Coinbase's Asset Data Platform.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Senior Data Analyst will enhance CRM and Lifecycle initiatives through data analysis, campaign design, and experimentation, driving user engagement and business outcomes.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Senior Emerging Risk Data Analyst will develop data strategies, extract insights using SQL/Python, create dashboards, and present findings to leadership.

The Product Manager will lead growth initiatives, collaborate across teams, measure success metrics, and enhance experiences using data-driven insights.

The Senior Data Scientist will analyze data to support decision-making, build models, design experiments, and collaborate with teams to drive insights and strategies.