Drive innovation at Clio as a Data Scientist focused on architectural leadership for machine learning. This hybrid position offers a unique chance to design scalable forecasting systems. Clio seeks a Data Scientist with over eight years of experience to establish architectural standards for ML systems while owning the development of complex models.

You will influence the company's data strategy, integrate advanced statistical methodologies, and mentor junior Data Scientists, ensuring high-quality outputs. The role involves collaborating with Data Engineering to streamline data access for machine learning applications. Key Responsibilities:

- Define the architectural roadmap for the company’s forecasting needs
- Architect scalable frameworks for ML and data systems




- Lead high-impact model development with a focus on deep learning
- Establish CI/CD standards and conduct code audits
- Integrate causal inference for comprehensive global forecasts

Requirements:

- 8+ years in Data Science or a quantitative field
- Expertise in Python, SQL, AWS, and distributed computing
- Master’s or PhD in relevant quantitative domains
- Exceptional communication skills for stakeholder engagement
- Proven ability to influence and drive technical vision

Utilize your leadership skills to shape Clio's machine learning future.

📌 Data Scientist - Architectural Leadership Role (Vancouver)
🏢 Themis Solutions
📍 Vancouver