Senior Data Scientist – AI Platform

Stelvio Group; Montreal; Remote; CAD 100,000 - 130,000; Full time

Job summary

A forward-thinking organization seeks a Senior Data Scientist to join a dynamic team in Montreal. You will lead the development of AI technologies that transform unstructured data into actionable insights, collaborating with top-tier talent. This fully remote position offers a competitive salary and the chance to work on cutting-edge AI solutions.

Benefits

Dynamic work environment

Ownership of complex challenges

Mentorship opportunities

Qualifications

• Advanced degree in Computer Science or related field required.
• Experience with deploying AI/ML models in production environments.
• Strong programming skills in Python; experience with Pandas, NumPy, SciPy, and Scikit-learn preferred.

Responsibilities

• Lead the development of automated data processing workflows.
• Design and enhance AI features to streamline analyst workflows.
• Provide mentorship to junior team members.

Skills

Python programming

AI/ML model development

Problem-solving

Communication

Education

Master’s or Ph.D. in Computer Science or related field

Tools

Azure cloud services

Pandas

NumPy

SciPy

Scikit-learn

Job description

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Key Account Manager - Technical Recruitment at Stelvio Group | Connecting Top Talent and Growing US Talent Across Tech & Finance | @ Stelvio Group |…

Job Title: Senior Data Scientist – AI Platform

Location: Must be located in Montreal, Quebec - Fully Remote role

Job Type: Full-Time

About the Opportunity

Join a forward-thinking organization pushing the boundaries of data science and artificial intelligence. We specialize in transforming unstructured document data into structured, actionable insights—powering smarter decisions across various business domains. As a Senior Data Scientist, you will play a central role in shaping the future of our AI technologies, working alongside top-tier talent to advance automation and intelligence across our data analytics platform.

What You’ll Do

• Lead the development and management of automated data processing workflows to optimize performance and accuracy.
• Design and enhance AI features within the platform to streamline analyst workflows and improve user experiences.
• Oversee and refine the AI Assistant to support users in understanding and interacting with data effectively.
• Partner with analysts and stakeholders to reduce reliance on manual processes through intelligent automation.
• Provide mentorship to junior team members and contribute to the growth of the Data Science function.
• Analyze AI system performance, delivering actionable insights and driving continuous improvement.
• Collaborate across international teams to innovate and refine AI-driven solutions.
• Operate with a high level of autonomy to identify, develop, and implement process enhancements.

What We’re Looking For

• Advanced degree (Master’s or Ph.D.) in Computer Science or a related field.
• Demonstrated experience developing and deploying AI/ML models in production environments.
• Strong Python programming skills, including proficiency in Pandas, NumPy, SciPy, and Scikit-learn.
• Experience with Azure cloud services for AI deployment is a strong plus.
• Strategic thinker with strong problem-solving skills and attention to detail.
• Proven ability to work independently and lead innovation initiatives.
• Excellent communication skills for presenting findings and influencing data-driven decisions.
• Experience optimizing human-AI interactions and reducing manual data processing is highly valued.
• Fluent in English (spoken and written).

Why Join Us?

You’ll be part of a dynamic, collaborative team working on real-world problems with cutting-edge technology. This is your opportunity to take ownership of complex challenges, mentor others, and contribute to meaningful innovations that impact enterprise performance.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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