Top Data Science Jobs in Ottawa

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.

The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.

The Data Scientist will generate insights from multi-omics datasets, build data analysis pipelines, collaborate with lab scientists, and utilize advanced analytical methodologies. The role requires proficiency in programming and the ability to contribute to innovative projects in cell health and genomics.

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 Senior Applied Data Scientist, you will analyze data to improve model efficacy against email attacks, develop machine learning applications, and contribute to the technical roadmap. Responsibilities include data analysis, training models, feature engineering, and collaboration with engineering teams to enhance detection systems.

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.

As a Senior Data Scientist in the Ads team at Mozilla, you will analyze large datasets, derive insights, and communicate findings to stakeholders. You will design experiments, build dashboards and analytical models, and mentor other team members, all while fostering a collaborative team culture.

As a Data Scientist, you will analyze and optimize pricing strategies for subscription products. You'll collaborate with teams to refine pricing, build predictive models, and improve operational efficiencies based on data insights. Your role involves data pre-processing, visualization, and communicating findings effectively across various teams.

The Staff Data Scientist will optimize and troubleshoot Reinforcement Learning and Causal ML models for marketing campaigns, analyze ML algorithms, and create diagnostic tests to enhance OfferFit's product performance in collaboration with the ML engineering team.

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 Data Scientist at McAfee, you will analyze and profile large datasets using SQL and Python to drive insights that align with business goals. Your responsibilities include building data pipelines, transforming data, and creating customer 360° views while collaborating with stakeholders and documenting processes.

As a Data Scientist II for Yahoo Mail, you will work with product teams to analyze data and drive insights, enhance commerce utilities, and improve revenue strategies. Responsibilities include statistical analysis, A/B testing, and creating dashboards. Ideal candidates should have experience in e-commerce, a data analytics background, and the ability to communicate insights effectively.

The Senior Data Scientist will develop and implement machine learning models for dynamic pricing and personalized recommendations, manage data pipelines, collaborate with teams for strategy alignment, and design experiments to validate solutions.

As a Senior Data Scientist at McAfee, you will develop and implement machine learning models for dynamic pricing and personalized recommendations. You will maintain large-scale data infrastructure, collaborate with cross-functional teams, and troubleshoot experiments to optimize consumer journeys and enhance monetization.

As a Lead Data Scientist, you will utilize AI expertise, focusing on machine learning and data mining to design advanced analytics engines and solutions. The role involves collaborating with cross-functional teams to develop analytical models, improve performance of generative AI products, and drive strategic initiatives within the organization.

As a Senior Data Scientist, you will apply your expertise in AI and machine learning to develop and prototype advanced analytics engines. You will collaborate with business partners to define problems, develop analytical models, and integrate solutions into data products, while also educating on the value of data-driven decision-making.