Top Data Jobs in Ottawa

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.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

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 Software Engineer will focus on data collection and infrastructure for AI model training, handling large datasets and collaborating with engineers and scientists.

Lead data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

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.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

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

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

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.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

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.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Data Analyst III will manage complex data projects, provide advanced analytics, develop reports, and mentor junior analysts. Requires strong data visualization skills and communication with executives.

Senior Data Engineer responsible for enterprise data modeling, building and maintaining AWS-based event-driven pipelines, optimizing large-scale Snowflake and Aurora Postgres systems, developing Python data pipelines, and collaborating on infrastructure and CI/CD to ensure scalable, production-grade data platforms aligned to ET time zone.

As a Data Engineer - Quality, you'll ensure data integrity by managing testing activities, developing validation frameworks, and maintaining pipelines while working closely with various teams.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Business Data Analyst will improve data quality in Commercial Banking by validating metadata, mapping data lineage, creating data rules, and providing business solutions.

As an AI Data Collector, you will capture high-quality images in various environments following project guidelines and deadlines. You will work independently, document your process, and help shape the future of AI technologies.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.