Data Scientist

• 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
• Lead the implementation of Model Interpretability (XAI) frameworks to ensure all automated decisions are transparent and unbiased

• Specialized learning and development programs and access to an in-house performance coach
• Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor
• Access to pay transparency on all of our global roles
• Company equity for applicable employees
• RRSP-matching in Canada, 401k in the US, and pension plans in Ireland
• Hybrid model – striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote
• Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)
• Parental leave options for birthing and non-birthing parents
• A $500 contribution to your child’s RESP
• Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program
• Virtual and In-person Wellness Programs to support mental and physical health
• Paid time for volunteering through our Clio Gives program
• $2000 annual counseling benefit for CAD Clions

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

System Design:
Strong understanding of software engineering principles (microservices, API design) as they relate to deploying ML at scale

Deep Technical Stack:
Expertise in Python and SQL

Education:

Master’s or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field

Modern AI Toolkit:
Hands‑on experience with LLM orchestration (Lang Chain, Haystack), vector databases, and PyTorch or Tensor Flow

Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake/Databricks)

Advanced experience with AWS and Databricks

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

Mastery of System Design and state‑of‑the‑art time‑series research

Communication:
Ability to persuade executive leadership on technical investments and “sell” a long‑term technical vision