Top Data Science Jobs in Ottawa

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.

As the Director of Data Quality, you will lead and mentor the QA team, implement and optimize QA policies, drive process improvements, and align QA objectives with business strategies to ensure the highest quality training data for generative AI applications.

As the Director of Data Quality at Labelbox, you will lead a QA team, design and implement QA policies, apply advanced QC methods, and drive process improvements. You will analyze quality metrics, align QA objectives with business strategies, and represent QA in client meetings while ensuring compliance with industry standards.

The Staff Software Engineer will lead R&D for data science-powered products, collaborate with engineering and product teams to move concepts to production, and provide technical expertise to stakeholders. Responsibilities include implementing data science solutions and educating team members on using data in marketing.

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 Head of Data Science, you will lead data science initiatives and manage a team of data scientists. You will apply advanced analytical methods to large datasets, deliver data-driven insights, and collaborate with product managers and engineering teams to improve products and customer experience.

The Manager of Marketing Data Science will lead the strategic roadmap for marketing analytics, collaborating with stakeholders to analyze complex marketing datasets and drive business growth. Key responsibilities include optimizing marketing efforts, implementing measurement plans, and providing insights for campaign performance and return on investment.