Top Data Jobs in Ottawa

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.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Part-time, remote-first Junior Data Analyst role performing data cleaning, transformation, analysis, and visualization. Generate reports and dashboards, interpret complex datasets, and collaborate with cross-functional teams to inform business decisions.

The Software Engineer will manage data collection for model training operations, enhance cloud infrastructure, and collaborate with AI scientists to improve data quality and scale.

Perform remote data entry: accurate typing, use internet and email to download/upload attachments, manage multiple projects to keep work on schedule, and work independently to meet goals.

Provide remote administrative and data-entry support: maintain and verify spreadsheets and records, organize files, assist with inbox follow-ups, and prepare information for internal reporting.

Verify and submit legal documents using internal systems and email, investigate and resolve data discrepancies, participate in training, and complete assigned projects to ensure accurate documentation for process server teams.

Perform remote data entry and maintain databases by collecting and inputting information from online sources, surveys, and documents. Ensure data accuracy, security, and availability; communicate with team members. Use Microsoft Office or similar tools, multitask, and prioritize tasks to support operations.

Lead vision, roadmap, and hands-on delivery of a secure AI, GenAI, and data platform in AWS. Implement Amazon Bedrock and SageMaker powered GenAI and MLOps capabilities, establish secure data foundations, define guardrails/compliance automation, own platform reliability and onboarding, and drive cross-functional adoption and governance for regulated environments.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

Manage and maintain SAP data, verify and update records, generate reports, ensure data accuracy and confidentiality, and support business operations while working independently in a remote environment.

Manage and maintain SAP data, verify records, generate reports, resolve data issues, support internal teams, and ensure data accuracy and confidentiality.

Lead and supervise a remote data entry team to ensure accurate, timely work. Train and support staff, monitor productivity, prepare basic reports, and maintain data confidentiality and quality standards.

Enter and validate vendor bills across four global entities in Commonsku and QuickBooks Online, applying correct currencies (USD, CAD, EUR, GBP). Verify vendor details, amounts, and account coding; reconcile accounts payable; communicate with vendors and internal teams to resolve discrepancies; maintain timely, accurate financial records per company policies.

As a Senior Data Engineer, you'll build and manage scalable data platforms using AI tools to process high-volume data and support analytics. You'll own the data lifecycle, architect data models, and automate workflows, enhancing data accessibility for product and analytics teams.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

Lead BI reporting and analysis for Advertising Technologies: design dashboards, define ETL/data models, create KPIs, resolve data quality issues, deliver recurring and ad-hoc reports, automate reporting workflows, document data logic, and collaborate with stakeholders to communicate insights.

Perform clinical review of oncology study participant-level data to ensure readiness for milestones (interim/final analyses, submissions). Conduct point-to-point and interpretive checks, generate and track queries, identify safety signals or protocol deviations, liaise with study teams, and follow SOPs to ensure data is clinically valid and submission-ready.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

The Senior Data Scientist will lead data science strategy, develop models for lead qualification, fraud detection, and underwriting, and collaborate with product and engineering to enhance financial products.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

The Director of Product Management will lead product strategy across infrastructure, software enablement, and customer-facing platforms, enhancing both technical and user experience while managing a team of product managers.

Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.