Top Data Jobs in Ottawa

The role involves developing scalable batch processing systems within the Apache Hadoop ecosystem, managing Machine Learning pipelines, and utilizing GCP for data processing. The engineer will implement DevOps best practices and collaborate effectively in a remote environment.

The Principal Data Scientist will lead the predictive analytics practice within the Data & Analytics team, focusing on operationalizing ML models for financial metrics and customer forecasts. Responsibilities include refining time series forecast models, partnering with Data Engineering for infrastructure, and collaborating across teams to enhance model performance and address operational use cases.

The Staff Data Engineer will design and implement scalable data pipelines and systems to solve complex problems involving data, machine learning, IoT, and cloud infrastructure. This role includes contributing to enterprise architecture and collaborating with engineers to propose technical solutions that integrate with ecobee’s broader systems.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.

As a Senior Data Scientist, you will lead the design and implementation of advanced machine learning models to combat cyber threats and assist stakeholders in deriving actionable insights. Responsibilities include building data pipelines, mentoring junior data scientists, and collaborating on innovative solutions to optimize processes using massive data sets.

Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and transformation. Implement solutions to support analytics and machine learning, integrating diverse data sources and developing data warehousing solutions. Optimize data workflows and monitor infrastructure performance while collaborating with teams to ensure high-quality data solutions.

As a Data Engineer at Clover, you will develop and maintain data pipelines, tools for analytics, and machine learning. Collaborate with cross-functional teams to design ETL programs, manage data governance, and improve data quality while leading projects and mentoring junior team members.

As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.

The Data Scientist will lead projects using quantitative analysis and data modeling, providing insights for strategic decisions. They will collaborate with various teams to monitor performance metrics, integrate new data sources, and prepare executive-level communications, cultivating a data-driven culture within the organization.

The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.

As a Senior Game Data Analyst, you will analyze data to deliver insights that enhance game design and revenue. Collaborating with stakeholders, you will define KPIs, ensure data quality, and translate business needs into technical requirements, while overseeing the analytics processes for PlayStation Studios.

As a Senior Data Analyst at Jane, you will lead analytical projects and collaborate with cross-functional teams to deliver insights that empower decision-making across the organization. Your role will involve mentoring junior analysts and enhancing data transparency and accuracy, focusing on making data-driven choices for healthcare practitioners.

As a Data Scientist at StackAdapt, you will innovate and implement machine learning algorithms to optimize advertising performance, write production code, and test algorithms using historical data to drive improvements. Collaboration with data engineers and a strong understanding of statistics and optimization is essential.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.

The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.

As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.