Staff Data Scientist

Responsibilities

• 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.
• 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.
• Act as the subject‑matter expert for Generative AI; design RAG architectures, evaluate foundation models, and establish fine‑tuning protocols for proprietary data.
• Define the team’s technical standards for CI/CD, model versioning, and automated testing.
• Audit codebases to ensure high‑performance and production‑ready quality.
• 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.
• Provide deep technical guidance to junior Data Scientists.
• Influence the roadmap by identifying blind spots in the current data strategy and proposing novel solutions.
• Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure technical feasibility of the long‑term vision.
• Lead the implementation of Model Interpretability (XAI) frameworks to ensure all automated decisions are transparent and unbiased.

Skills & Qualifications

• 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.
• Proven ability to influence executive leadership and mentor senior technical staff without being a direct people manager.
• Proficiency in Python and SQL, advanced experience with AWS and Databricks, and expertise in distributed computing (Spark, Ray) and modern data platforms (Snowflake/Databricks).
• Hands‑on experience with LLM orchestration (LangChain, Haystack), vector databases, and PyTorch or TensorFlow.
• Strong understanding of software engineering principles (microservices, API design) as they relate to deploying ML at scale.
• Master’s or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field.
• Exceptional communication skills: ability to persuade executive leadership on technical investments and sell a long‑term technical vision.

Compensation and Benefits

Salary range: $153,600 to $192,000 to $230,400 CAD (roles in other regions follow local currency bands). Benefits include top‑tier health benefits, dental and vision insurance, hybrid work environment with local office expectations, flexible time off policy, annual counseling benefit, RRSP matching and RESP contribution, and corporate recognition program.

EEO and Accessibility

We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.