Top Data Jobs in Ottawa

Responsibilities include designing and analyzing survey studies, conducting statistical analysis, and collaborating with teams to deliver insights on consumer satisfaction.

The Data Scientist will develop and implement advanced analytics and AI solutions, enhance user experience, and provide actionable insights for small businesses.

The Data Analyst IV will lead complex analytics projects, provide advanced support for business operations, model data, and mentor team members.

The Head of Data will develop and execute data strategies, lead data teams, and ensure data governance and analytics initiatives are aligned with business growth.

As a Data Analyst for Marketing and Supply, you will analyze marketing campaigns, maintain attribution models, and develop data dashboards to drive strategic decision-making.

The Director of Data Strategy develops and implements data strategies that align with technology solutions to enhance business operations and customer experiences.

The Senior Data Software Engineer will architect and maintain scalable data pipelines, collaborating with scientists and engineers to enhance data operations for quantum applications.

As a Senior Data Scientist, you'll leverage analytics and machine learning to influence product decisions, develop statistical models, and mentor junior team members.

The Senior Recovery Data Analyst will analyze claims for overpayments, lead projects, mentor junior analysts, and develop data queries and recovery strategies.

The Principal Data Architect will design and implement cloud-based data solutions, lead engagements, and standardize practices within the Cloud Data Engineering Practice.

Lead design and execution of scalable data systems, implementing governance frameworks, managing enterprise data models, and optimizing cloud-native infrastructure.

The Head of Data & Analytics will lead a remote team to develop data strategies, solve business problems, and drive data-driven decisions across the company.

The Senior Data Scientist will lead the optimization of ML algorithms, develop production-grade models, and enhance advertising effectiveness using statistical insights.

As a Data Consultant, you will oversee client data quality, lead implementations, provide ongoing consultation, and ensure clients achieve their business goals through effective data practices.

The Data Scientist will develop insights from user behavior, validate hypotheses through A/B testing, and build dashboards to track product metrics, collaborating with various teams to shape the product direction.

The Data Engineer will build data pipelines, work with cloud technologies, and manage data workflows using Python and Airflow. Candidates should have significant experience with data warehousing and databases.

As a Senior Data Scientist, you'll solve complex business problems using analytics and machine learning, fostering collaboration and innovation. You'll lead projects, leveraging data insights for performance marketing and drive organizational progress with effective data solutions.