Data Scientist – Decision Intelligence

Job Description

Job Title: Staff Data Scientist – Decision Intelligence. Location: Toronto, Ontario, Canada

Responsibilities:

• Lead the vision and development of a unified decision intelligence platform for research and operations
• Build AI and machine learning solutions to identify patterns, anomalies, and insights from complex experimental data
• Integrate heterogeneous data sources into unified analytical views
• Design intelligent data exploration experiences beyond traditional business intelligence dashboards
• Define analytical requirements, success metrics, and platform roadmap;
• Provide technical leadership to data engineers and data analysts
• Improve product adoption by understanding user workflows and continuously enhancing the platform
• Work closely with engineering, research, and leadership teams to support strategic decision-making

Qualifications:

• Bachelor's degree in Physics, Mathematics, Computer Science, Data Science, AI, Machine Learning, or a related quantitative field
• At least 7 years of experience in data science or applied machine learning
• Experience building production-ready data products and analytical platforms;
• Strong knowledge of statistical modeling, Bayesian inference, time-series analysis, anomaly detection, and dimensionality reduction
• Strong programming skills in Python, SQL, Spark, or similar data science technologies
• Experience integrating multiple data sources into scalable analytical systems
• Excellent communication skills with both technical and business stakeholders
• Experience mentoring or leading junior data scientists or analysts

Preferred:

• Master's or PhD in a quantitative discipline
• Experience in hardware, semiconductors, photonics, electrical engineering, or advanced manufacturing
• Knowledge of knowledge graphs, semantic data models, or complex data ontologies
• Experience with signal processing, control theory, deep learning, optimization, or active learning
• Experience with simulation workflows and their data outputs;
• Experience with AWS cloud infrastructure and data pipeline orchestration
• Experience with LLMs, retrieval-augmented generation (RAG), or AI agents for analytics
• Familiarity with quantum computing or photonic integrated circuits

Benefits And Compensation:

• Competitive base salary based on experience and location
• Equity package
• Comprehensive employee benefits
• Opportunity to work on cutting-edge quantum computing technologies
• Inclusive and collaborative work environment

Other Information:

• AI tools may be used during the recruitment process, with all final hiring decisions made by people
• Workplace accommodations are available throughout the hiring process
• Equal opportunity employer committed to diversity, equity, and inclusion