Senior Data ScientistAbout 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.
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How to applyIf this sounds like the role for you, apply today
