Top Data Jobs in Ottawa

Review AI-generated R code evaluations to ensure quality and correctness. Provide feedback and validate code according to guidelines.

The role involves reviewing AI-generated Swift code evaluations, ensuring compliance with quality guidelines, validating code correctness, and providing feedback to maintain standards.

The role involves reviewing and auditing annotator evaluations of AI-generated Rust code, ensuring quality adherence and providing constructive feedback.

The role involves reviewing AI-generated Kotlin code, ensuring conformity with guidelines, and providing feedback to maintain annotation quality.

The role involves reviewing and auditing evaluations of AI-generated C/C++ code by annotators, ensuring quality and correctness in code functionality and adherence to guidelines.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

The Senior Data Analyst will conduct complex data analyses, build executive dashboards, mentor junior analysts, and collaborate with various departments to drive insights and decision-making.

The Lead Data Scientist will drive measurable outcomes for Scribd's UGC ecosystem, leading experiment design, measurement strategies, and cross-functional collaboration to enhance products and user experience.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

The Senior Director Analyst in Data Analytics and Governance leads research, develops insights, and advises clients on data strategy and analytics. This role involves client engagement, thought leadership, and mentoring team members to enhance strategic decision-making across organizations.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Lead the design and development of scalable data acquisition systems, architect core platform components, and mentor engineers while ensuring data quality and system reliability.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

The Data Analyst II will handle complex data requests and reports, perform data analysis, create visualizations in Power BI, and assist in training lower-level analysts.

Manage complex data processes and projects within the healthcare sector, leading cross-functional teams and driving strategic goals.

As a Data Analyst at Guidewire, you will work on predictive modeling and data analysis, collaborating on multiple projects to drive innovation in the P&C insurance industry.

The role involves defining and owning the data strategy, establishing governance standards, and leveraging data for growth, analytics, and predictive modeling while collaborating across various teams to support institution-wide insights and decision-making.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

The Sr. Data Analyst will support Finance and Payments with SQL/dbt modeling, building dashboards, maintaining financial datasets, and collaborating with stakeholders for accurate insights.