Data Scientist at Clio, driving insights and ML solutions in legal AI. Collaborating with teams to leverage data for business growth.
About the role
- Data Scientist working with R&D and product development to create AI-driven metrics and models. Contributing to smart concrete testing technologies at Giatec Scientific in Ottawa, Ontario.
Responsibilities
- Develop and implement advanced machine learning models and algorithms for prediction, analysis, and optimization of concrete performance
- Optimize models for improved accuracy, robustness, and performance
- Build and maintain agentic AI systems capable of multi-step reasoning, tool usage, and workflow orchestration
- Utilize strong knowledge of machine learning frameworks such as Keras, TensorFlow, or similar tools to develop and fine-tune models
- Stay up to date with the latest advancements in data science, machine learning, large language models, and agentic AI
- Apply expertise in Python and SQL to manipulate, analyze, and transform large datasets
- Develop retrieval-augmented generation (RAG) pipelines by integrating structured and unstructured data sources with LLMs
- Develop, and deploy LLM-based solutions to support intelligent reasoning, automation, and decision-making within products and internal tools
- Solve complex problems using data-driven and AI-powered approaches
Requirements
- Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proficiency in programming languages such as Python
- Proven experience leveraging machine learning frameworks such as Keras, TensorFlow, or similar tools
- Strong understanding of prompt engineering, LLM evaluation techniques, and reliability considerations
- Familiarity with retrieval-augmented generation (RAG) architectures and vector search technologies
- Enthusiasm for learning new technologies and sharing knowledge with others
- Demonstrated experience analyzing, modeling, training, and deploying machine learning and AI solutions into production
- Proficiency with data science libraries such as pandas, NumPy, and Matplotlib
- Experience building agent-based or agentic AI systems using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent
- Hands-on experience working with Large Language Models (LLMs) (e.g., OpenAI, Azure OpenAI, Hugging Face, or similar platforms)
- Hands-on experience with databases such as PostgreSQL and MongoDB, including efficient data querying and manipulation
- Strong experience applying supervised and unsupervised machine learning techniques to build predictive and prescriptive solutions
Benefits
- Hybrid work week
- Competitive company-paid benefits plan
- Generous professional development budget
- Volunteer and Life Days that make work/life balance easier to achieve
- Your birthday off (because we want you to celebrate)
- RRSP matching program through RBC
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Lead Data Manager responsible for data management in clinical trials for a global organization. Overseeing complex studies and team communication within clinical data management.
Data Manager supervising clinical data management activities for clinical trials. Acting as communication line for project teams and managing documentation tasks.
Data Scientist improving financial solutions for Canadians at Borrowell. Collaborating with teams to analyze data and enhance user experience in financial products.
Data Scientist specializing in LLMs at Tekever. Developing algorithms and innovative solutions for human language processing.
Head of Analytics at StellarTech, establishing analytics unit for data - driven decisions. Leading a strategic role in a fast - scaling international tech company.
Senior Data Scientist focused on scaling measurement products at Northbeam. Responsibilities include translating methodologies into production systems and collaboration across teams.
Senior Product Data Scientist defining and leading product experimentation and ML insights at MaintainX. Collaborating with cross - functional teams to improve product adoption and retention.
LP
Director, Data Management Office (Wealth Americas)
LinkedIn Recruiter Post
Lead data governance and management across Wealth businesses, driving alignment with enterprise standards and shaping data culture.
Senior Data Scientist leading high priority data initiatives to support Sales at Wealthsimple, Canada's leading financial innovator. Collaborate with diverse teams to model sales data, improve processes, and develop ML solutions.