Hybrid Staff Data Scientist

at Clio - Cloud-Based Legal Technology

• Job title: Staff Data Scientist
• Job type: Full Time
• Experience level: Lead
• Salary: CA$153,600 - CA$230,400 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Microservices, Python, PyTorch, Ray, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Toronto, Canada

About the role

• Staff Data Scientist at Clio developing scalable ML systems and strategic experimentation frameworks. Leading high-impact modeling projects and mentoring junior team members.

Responsibilities

• Architectural Strategy & Forecasting Leadership: Define the long-term forecasting roadmap and establish architectural standards for the entire company.
• Lead the architectural design of complex ML systems, ensuring they are scalable, maintainable, and integrated seamlessly with the broader engineering stack.
• Architect reusable, "platform-level" forecasting frameworks to be used by other Data Science teams.
• High-Impact Modeling: Own the development of "tier-1" models—those with the highest business risk or technical complexity—using advanced statistical, deep learning, or Reinforcement Learning techniques.
• Tackle high-ambiguity challenges, such as integrating causal inference or deep learning into global forecasts.
• GenAI & LLM Innovation: Act as the subject matter expert for Generative AI; design RAG architectures, evaluate foundation models, and establish fine-tuning protocols for proprietary data.
• MLOps & Quality Assurance: Define the team’s technical standards for CI/CD, model versioning, and automated testing.
• Audit codebases to ensure high-performance and "production-ready" quality.
• Strategic Experimentation: Own the end-to-end design and evaluation of high-impact product and business experiments, establishing rigorous statistical standards and frameworks to ensure trustworthy, data-driven decisions.
• Technical Mentorship & Influence: Provide deep technical guidance to more junior Data Scientists. Influence the roadmap by identifying "blind spots" in current data strategy and proposing novel solutions.
• Cross-Functional Translation & Ethics: Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure technical feasibility of the long-term vision.

Requirements

• 8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost savings.
• Mastery of System Design and state-of-the-art time-series research.
• Leadership without Authority: Proven ability to influence executive leadership and mentor senior technical staff.
• Proven ability to lead large-scale technical projects across multiple teams without being a direct people manager.
• Deep Technical Stack: Expertise in Python and SQL. Advanced experience with AWS and Databricks. Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake/Databricks).
• Modern AI Toolkit: Hands-on experience with LLM orchestration (LangChain, Haystack), vector databases, and PyTorch or TensorFlow.
• System Design: Strong understanding of software engineering principles (microservices, API design) as they relate to deploying ML at scale.
• Education: Master’s or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field.
• Communication: Ability to persuade executive leadership on technical investments and "sell" a long-term technical vision.

Benefits

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office min. twice per week.
• Flexible time off policy, with an encouraged 20 days off per year.
• $2000 annual counseling benefit
• RRSP matching and RESP contribution
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years