Top Data Jobs in Ottawa

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

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.

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

Support end-to-end data solution delivery: gather requirements, analyze and profile data, build models and visualizations (Power BI/Oracle), support UAT/testing, and collaborate with stakeholders to produce actionable insights and maintain data governance.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

Own and deliver GDMS secure AI, GenAI, and data platform in AWS. Define roadmap, reference architectures, and paved roads for Bedrock and SageMaker-based GenAI and MLOps. Implement secure-by-default patterns, IaC/CI-CD automation, monitoring, governance, and operational runbooks while driving adoption and cross-functional delivery.

Analyze and document business and system requirements for an Intelligence Mission Data project; facilitate workshops and use-case development; produce system specifications and traceability; perform technical options analysis and solution evaluations; plan organizational impact and integration; participate in testing; and prepare briefings, reports, and meeting artifacts.

Design and maintain scalable ELT/ETL pipelines on GCP, build and evaluate predictive ML and NLP models (including LLM prompt engineering), implement XAI for interpretability, perform EDA and automation, and document governance and compliance to support enterprise fraud detection and SIU stakeholders.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Build and maintain scalable, reliable data systems and pipelines, uphold SLOs, partner with Product/Sales/Finance, enable self-service analytics, contribute to data platform strategy, and improve engineering practices for testing, reliability, and documentation.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.

The Data Engineer will analyze and interpret data to drive insights, create dashboards, and enhance product performance, collaborating with cross-functional teams.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.

The Senior Data Engineer will develop databases, data lakes, and data ingestion pipelines, ensuring scalable solutions and engaging with stakeholders across various departments.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Lead large-scale technical initiatives on the Data Ingestion Team, focusing on building and operating distributed systems that process billions of events daily.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.