Senior Manager, Data Science

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Soti · Mississauga, Canada – Meadowvale Office (hq)

Full-timeHybridToday

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About the role

It all started with a classic story about one developer's vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a desktop. An innovation that has put him ahead in what is now one of the largest growing markets - Enterprise Mobility Management (EMM). Today, more than 17,000 enterprise customers around the world depend on us to secure, manage, and support their mobile operations, with millions of devices managed worldwide. SOTI's two decades of success has built strong partnerships with leading mobile platform providers and device manufacturers. We are deeply committed to researching and developing solutions that address today's toughest mobility challenges. We strive to go where nobody has gone before. What's In It for You? The People - From our humble origins in our founder's basement to our industry-leading position today, SOTI has worked hard to foster a company culture that we can all believe in. A culture that emphasizes personal growth, continuous innovation, and fun. The Growth - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line. SOTI is a fast-paced environment with a global reach that encourages you to make your mark and be part of something big! The Technology - You'll get the chance to work with leading-edge technologies and take on complex and interesting projects as part of highly collaborative and agile teams. You will work alongside SOTI's partners, which include leading tech giants that will keep you on the cusp of emerging technologies.

Responsibilities

Lead the design, development, and deployment of AI and machine learning systems, including scalable pipelines for inference, analytics, and real-time processing, using modern engineering practices to ensure robustness and efficiency.

Collaborate with product management, development, and business teams to identify and solve product challenges through data-driven models, focusing on user behavior, predictive analytics, and operational improvements.

Oversee hands-on prototyping, experimentation, and iteration to validate AI solutions quickly, translating complex data insights into clear product recommendations that influence strategy and priorities.

Establish and enforce best practices for AI operations, including data quality, model monitoring, and cross-team collaboration to maintain high performance in production.

Build and mentor a high-performing team of data scientists and developers, promoting a culture of ownership, innovation, and product-oriented thinking while fostering skills in both data analysis and software engineering.

Partner with stakeholders to propose AI initiatives that align with business goals, driving measurable outcomes like enhanced customer experiences and optimized operations.

Contribute directly to code and system architecture, ensuring your team delivers production-ready solutions that leverage cloud-based tools and integrate with existing development workflows.

Qualification :

Advanced degree in computer science, data science, statistics, or a related quantitative field, or equivalent practical experience in applying AI/ML to product environments.

8+ years of experience in data science, machine learning engineering, or applied AI roles, with a proven track record of shipping AI-driven features in production products.

4+ years of experience managing and mentoring teams of data scientists, ML engineers, and developers in tech-driven organizations.

Strong hands-on programming skills in Python, SQL, and related tools, with experience building and deploying models, data pipelines, and analytical systems in cloud environments (e.g., AWS, Azure).

Expertise in pragmatic AI applications such as

Senior Manager, Data Science

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