Top Data Jobs in Ottawa

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

The Senior Product Manager will oversee integration of structured data into the AlphaSense platform, manage product lifecycle, and liaise between technical and user needs. Extensive experience in fintech or financial services required.

The Staff Software Engineer will design, develop, and maintain scalable cloud-based solutions, manage data ingestion and retrieval, and lead architectural innovation while collaborating with cross-functional teams.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Embedded on a core business team, you will define problems, build metrics, run analyses and experiments, produce reports and insights, and drive data-informed decisions end-to-end. You will partner with product, growth, AI, and partnerships teams, communicate findings to leadership, and own outcomes from analysis through execution.

Embedded within a core business area, you will define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Own the end-to-end analytical function for a business unit (growth, product, AI, or partnerships): define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions with stakeholders to deliver measurable business impact.

Embedded data scientist responsible for defining problems, building metrics and analyses, designing experiments, surfacing insights, and driving data-informed decisions across growth, product, AI/automation, or partnerships. Own end-to-end analytics, reporting, and stakeholder recommendations to improve key business metrics.

Embed with a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end for product, growth, AI, or partnerships.

Embed within a business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, and partnerships.

Embedded in a core business area, own analytics end-to-end: define problems, build reports, run analyses and experiments, surface insights, and drive data-informed decisions to improve key metrics.

Embedded senior data scientist owning analytics for a business unit: define problems, design metrics, build analyses and experiments, surface insights, make recommendations, and drive implementation to improve key business metrics.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Lead and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

The Data Engineer will assist clients with SAP security design, implement SAP security, develop authorization profiles, and conduct security reviews.

The Data Migration Consultant manages data migration for CRM customers, ensuring data integrity through analysis, validation, and effective communication with stakeholders.