Senior Data Scientist

About the role You will be part of Seequent Labs, a research, prototyping, and data science team with a culture of experimentation and customer engagement. As a Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning and data though novel and creative applications in subsurface modelling. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning. In this role, you will have the opportunity to: Technical Skills and Problem-Solving Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs). Develop and optimize AI/ML algorithms using accepted best practices, rigorously assessing model performance and resilience. Deliver high-quality, user-friendly prototypes and integrated algorithms that directly address customer needs and workflows. Data Management Lead data acquisition efforts from various sources while rigorously analyzing data integrity and quality. Develop comprehensive data cleaning strategies and prepare robust training datasets for model development. Research and Development Analyze user challenges and workflows to deeply integrate into all aspects of designing, maintaining, and deploying innovative ML applications. Maintain a technological watch over the AI/ML landscape, staying up-to-date with relevant scientific literature and research. Communication and Collaboration Prepare and present compelling reports on results to peers, internal stakeholders, and end-users. Collaborate and share knowledge to actively grow the AI team's capabilities and find efficient, intuitive ways to communicate complex data. Professional Growth and Contribution Expand the organization's overall capability in the AI space while actively learning workflows in subsurface modeling (geomodeling, geophysics, geostatistics). To be successful in this role, you should have: BSc, MSc, or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science. 7+ years of experience research and development in machine learning - including deep learning and advanced techniques. Experience using large language models. Experience with LangChain and LangGraph. Experience with complex orchestration of agentic solutions. Experience with AI models for solving problems related to imagery, GIS and or 3D data e.g. point cloud and meshes is preferred. Commercial software development experience is preferred. Experience working with cloud-based data solutions. Programming and use of tools related to our area of practice such as: Python, PyTorch. Experience using modern data plotting libraries (D3, plotly). The ideal candidate will also possess the following qualities: Outstanding interpersonal skills to cultivate and sustain strong, collaborative partnerships across teams. Proven ability to rapidly deep-dive into unfamiliar topics, synthesize information, and master new concepts with speed. A persistent, solution-oriented mindset with a genuine enthusiasm for tackling complex problems and continuous learning. Additional Information This is a hybrid position, and you are required to be in the Calgary office two days a week. Seequent is a global company, and flexibility in working hours may be required to accommodate work across different time zones. #LI-KV2