Top Data Science Jobs in Ottawa

As a Machine Learning Engineer at StackAdapt, you will design scalable data pipelines and implement custom machine learning algorithms. Collaborating with data scientists and engineering teams, you'll tackle complex problems within a high-performance digital advertising platform that processes vast amounts of data.

As a Senior Data Scientist, you will collaborate with product and business teams to identify growth opportunities, build predictive AI and ML solutions, and perform statistical analyses to impact decision-making. You'll ensure data governance and quality while enabling a data-driven culture within the organization.

As a Senior Data Scientist on the Banking Core team at Cash App, you will analyze large datasets to derive insights, drive product strategies, and evaluate their impact through A/B testing. You'll collaborate with cross-functional teams to improve customer experience and produce data visualizations and dashboards for actionable insights.

As a Staff Data Scientist at Square Banking, you'll leverage data solutions to enhance loan products, influence product roadmaps, collaborate with cross-functional teams, and define metrics for success while establishing expertise in the loan process from underwriting to recovery.

As a Senior Data Scientist at Cash App, you will analyze large datasets, provide actionable insights, design experiments, and work cross-functionally to improve customer experience and drive advertising growth. You will utilize SQL and scripting languages, build dashboards, and communicate findings to stakeholders.

As a Sr. Data Scientist at Instacart, you'll own analytical frameworks, design experiments, develop statistical models, and enable decision-making through data democratization while collaborating with cross-functional teams to drive product improvements and influence leadership findings.

As a Quantitative Modeling Analyst, you will design and analyze survey research studies to measure customer satisfaction. Your role includes conducting multivariate statistical analyses using programming tools like Python and SAS, and collaborating with teams to deliver timely results that influence client strategies.

The Advisor, Data Science and Advance Analytics at Ciena will play a key role in evolving the company's analytics capabilities from descriptive to predictive and prescriptive analytics using AI and ML. Responsibilities include collaborating with business teams, data acquisition and preparation, developing and deploying machine learning models, and ensuring AI governance.

The Data Science Manager at Stripe will oversee and lead a team of data scientists, managing the roadmap and enhancing data-driven decision making across the company. Responsibilities include mentoring team members, collaborating with various stakeholders, and contributing to data science initiatives. The role requires strong technical expertise and effective communication skills.

Wealthsimple is seeking a Senior Data Science Manager to lead a team responsible for data-driven product strategy and analytics. Responsibilities include managing partnerships with product teams, developing machine learning models, maintaining data quality, and creating integrated data models for analytics.

The Data Scientist will develop machine learning technologies, work on large data volumes, and collaborate with various teams to deliver impactful features. Responsibilities include analyzing data, deploying models, and communicating results with stakeholders.

The Senior Data Scientist will lead end-to-end data analysis and modeling projects, develop machine learning models, and translate business needs into data-driven solutions. Collaboration with stakeholders and innovative problem-solving are key components of the role.

The Associate Data Scientist will develop expertise in data privacy and de-identification within healthcare data, assist in analyzing re-identification risks, prepare data for analysis, support client engagements, and document results in reports. This role includes training, client coaching, and a strong grasp of privacy regulations.

The Data Science Intern will assist in project/product development tasks including data analysis, testing processes, and developing digital tools. The intern will engage in research, apply data science principles, and communicate findings through documentation and reports.

The Lead Data Scientist will leverage machine learning and data insights to optimize infrastructure costs and improve customer experience. They will develop predictive models, provide actionable business recommendations, and engage with stakeholders. The role involves creating innovative solutions to enhance ServiceTitan’s platform, particularly in the Home Service industry.

As a Data Scientist, you will collaborate with various teams to drive data-driven decision making, analyze user behavior, design A/B tests, and visualize business metrics. You will also build data models to enhance analytics efficiency. This role is key in shaping the data science function at a fast-growing startup.

As a Principal Data Scientist at Elastic, you will lead the development of statistical tools and machine learning models for semantic search and improvements in AI/ML driven search experiences. This includes collaborating with product teams and experimenting with open source models to enhance query understanding and ranking solutions.