Top Data Jobs in Ottawa

The role requires providing data insights and analysis for the Emerging Risk team, developing data strategies, and automating reporting frameworks.

The Code Reviewer will audit evaluations of AI-generated Go code, ensuring quality, correctness, and adherence to guidelines while providing constructive feedback.

Review evaluations of AI-generated R code, ensuring quality standards, validating code functionality, and providing constructive feedback to annotators.

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.

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

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.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Senior Analyst for Sales will collaborate with sales leadership to improve sales performance, develop reporting tools, and oversee key sales metrics using SQL and Looker.

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.

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

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

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.