Top Data Jobs in Ottawa

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.

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.

The Account Manager focuses on Commercial & Industrial sales, driving business growth by developing relationships, achieving sales targets, and delivering value-based solutions in renewable energy and data sectors.

Manage construction and maintenance of de-identified, FISMA-compliant research datasets; implement secure storage, encrypted transfer, and data retention/destruction. Coordinate with qualitative and regulatory teams, support incident response, and deliver formatted codebooks and CDC-requested dataset formats.

Join a SignalFire talent network to be matched with VC-backed startups seeking Senior/Staff Data Scientists. Responsibilities include experimental design and analysis, predictive and causal modeling, productionizing models, building metrics and dashboards, advising product and business teams, mentoring other data scientists, and shaping data strategy and tooling at fast-moving startups.

Join a talent network connecting data engineers with VC-backed startups. Build scalable batch and real-time pipelines, data models, warehouses/lakehouses, ensure data quality, support ML pipelines, integrate diverse data sources, and define data architecture and governance.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

Design, build, and optimize core database components including storage engines, query execution, and transaction management. Improve performance via low-level data structures, concurrency control, and query optimization while ensuring data durability and recovery.

Design and build audit-ready data architecture and ETL pipelines, maintain inventories/playbooks/catalogs for audit, implement automated validation and monitoring, assess change impacts, and translate audit requirements into technical specifications for stakeholders.

Lead program management and coordination between the Data team and Audit, Risk, Security, Finance, Compliance, and external auditors. Own continuous audit readiness by building and maintaining inventories, playbooks, catalogs, tagging and governance processes, and auditor access controls. Translate audit engagements into repeatable, documented responses and run mock testing to identify improvements and reengineering needs.

Design and maintain production-grade data models and pipelines across the full stack (ingestion to visualization). Build scalable dbt models, improve manual workflows, ensure data accuracy and validation, and collaborate with Finance, Engineering, Sales, and other teams to deliver trusted analytics and reporting.

The Product Owner will define and prioritize backlog items for Autodesk's AEC Platform Data team, focusing on information requirements management and collaborating with clients and cross-functional teams.

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.

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

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

Remote Data Researcher responsible for conducting data research, designing and implementing surveys, performing data entry, analyzing datasets to identify trends, preparing reports and presentations, and collaborating with cross-functional teams to provide actionable recommendations.

Lead roadmap and deliverables for measurement products (attribution, ABM, first-party data), create 0→1 solutions, write clear product specs, and drive features to completion working with engineers, designers, QA, and cross-functional teams.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Lead design and implement a scalable Medallion lakehouse on GCS and Databricks. Build and govern ingestion and transformation pipelines (Astro/Airflow, PySpark, Delta Live Tables), apply domain-driven data modeling, manage Unity Catalog access and lineage, collaborate with analytics and vendors, and proactively surface risks with clear documentation.

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

Own technical execution of customer data migrations: explore source systems, export data, author declarative version-controlled mappings, transform and validate data, run end-to-end migrations on internal platform, build reusable templates/validation, troubleshoot discrepancies, and document mapping and transformation logic for auditable production cutovers.

Lead development, training, deployment, and optimization of deep learning computer vision models using aerial and geospatial imagery. Build high-quality datasets, collaborate with product and engineering teams to translate requirements, and mentor data science team members while establishing best practices for production ML.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.