Top Data Jobs in Ottawa

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

As an Intermediate Data Engineer, you will develop data infrastructure and products, collaborate with diverse teams, and enhance technical quality across the data team.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

Lead the PoC data science team, delivering POCs for enterprise clients, mentoring team members, and driving fraud analytics and ML solutions.

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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.

The Strategic Customer Representative drives growth within data centre construction sectors, manages client relationships, and coordinates projects with multiple stakeholders.

Use client data to build predictive models, segmentation, and CLV/churn solutions. Prepare and clean large datasets, implement MLOps pipelines, deploy and monitor models, and communicate insights to stakeholders to drive claims-related business decisions and personalization.

Perform spatial data compilation, cleaning, mapping, and statistical analysis to support renewable energy siting and impact evaluation. Produce visualizations, written briefs, and technical materials; coordinate with regional teams; support indicator development, monitoring, and rapid research synthesis to inform clean energy transition strategies.

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.

Own product analytics end-to-end: build production-grade pipelines and dbt models, define north-star metrics, design and run A/B experiments with causal inference, embed LLM/GenAI tooling, create dashboards and metric frameworks, and translate results into strategic recommendations for leadership.

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.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

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.

The Data Editor will research, edit, and ensure quality metadata for TV and movie content, ensuring accuracy and adherence to standards.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

The role involves designing and maintaining interactive dashboards, optimizing data models, writing SQL queries, and conducting analytical deep dives to support revenue operations.

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 Senior Data Analyst, you will lead analytics initiatives, drive business performance, create actionable insights, and mentor other analysts while redesigning reporting capabilities for debit products.