Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
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
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.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.
Data Scientist quantifying credit risk and developing models at Desjardins Group in Montréal. Leading projects and providing expertise in credit risk management and quantification.
Construction Manager overseeing various data center construction projects in Canada. Responsible for execution plans, monitoring progress, and managing labor relations.