Top Data Science Jobs in Calgary

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

Cygnus Professionals Inc. is hiring experienced .NET Developers to work in their IT Solutions Division, providing various IT services and solutions.

The Enterprise Account Executive will drive new revenue by closing business with enterprise customers, building relationships, navigating complex sales cycles, and demonstrating the value of Fiddler's AI solutions.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

The Account Executive will focus on prospecting, developing, and closing enterprise sales, specifically targeting new business with a strong emphasis on technical solutions and software products.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

As a Talent Acquisition Partner for R&D, you'll lead full-cycle recruitment for technical roles, collaborate with engineering leaders, and improve hiring strategies in a competitive market.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Oversee all aspects of data projects, leading delivery teams using Agile methodologies, managing risks, and ensuring effective communication within a dynamic environment.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.