Top Data Jobs in Ottawa

As a Senior Data Scientist at Flinks, you will lead the development and deployment of machine learning models, investigate data quality issues, collaborate with engineering teams, mentor colleagues, and contribute to research that transforms the financial ecosystem using advanced data science techniques.

The Senior Data Science Specialist mines and analyzes large data sets using advanced algorithms to provide insights. They design predictive models, enhance data processing, and collaborate with teams to implement data-driven strategies that improve business decisions. This role requires expertise in various analytics tools, critical thinking, and effective communication skills.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

As a Senior Data Analyst, you will analyze complex data to gain insights that influence strategic decisions, develop statistical models, manage experiments, and ensure data quality. You will also communicate insights to drive product improvements and align projects with business objectives.

As a Lead Data Engineer, you will design and implement robust data pipelines and storage solutions, optimize data processes, and enhance efficiency. You'll automate ETL processes for blockchain data analytics, utilize Snowflake for data management, and collaborate with product teams to articulate data strategies, while promoting best practices in data engineering and cloud infrastructure.

The Data Analyst will develop and maintain dashboards, extract insights, create visualizations, and collaborate with cross-functional teams to meet business needs. This role focuses on using data to enhance decision-making and optimize processes.

As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.

In this role, you will develop and implement cutting-edge data science and machine learning models, particularly in the context of Property Tech and InsurTech. You'll work on deep learning algorithms, analyze various data sources, and collaborate with teams to derive actionable insights related to property risk and natural disaster management.

The Data Scientist at Mismo will use data to inform team goals, drive business outcomes through analysis and improvements in operational processes, and explore statistical models to enhance understanding of business drivers. Responsibilities include data mining, ensuring data integrity, and communicating insights to senior management.

As a Data Analyst, you will manage master data, develop reports, conduct statistical analysis, and ensure data accuracy. You'll collaborate with development teams, support data integrity initiatives, and troubleshoot reporting issues, ultimately owning the data management responsibilities.

As a Data Scientist at Perplexity, you will develop data-driven insights, design and analyze A/B tests, create dashboards, and collaborate across teams to drive product decisions. You will work with user behavior metrics and improve data accessibility to enhance the product roadmap.

As a Senior Data Scientist at Tiger Analytics, you will apply your expertise in AI, machine learning, and generative AI to design and build advanced analytics solutions. This role involves collaboration with cross-functional teams to address technical challenges, evaluate and enhance generative AI models, and engineer features from diverse data sources while contributing to the development of best practices in data science.

The Data Science Manager will lead the Pricing and Promotion Optimization team to develop strategies enhancing pricing initiatives. Responsibilities include roadmap development, quarterly planning, team leadership, stakeholder collaboration, and market analysis, while mentoring data scientists and ensuring alignment with business goals.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.

The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.

The Data Architect will design and implement data solutions tailored to complex business needs, focusing on Snowflake architecture. Responsibilities include developing data blueprints, optimizing performance, ensuring data governance, and collaborating with stakeholders for technical specifications and data integration.