Senior Data Scientist (Applied AI & Analytics)

• Lead the design and development of data processing pipelines for complex, multi-source datasets
• Develop methodologies to extract meaningful insights from time-series and high-frequency data
• Design and implement statistical models and machine learning approaches where appropriate
• Structure and integrate diverse data sources into unified analytical frameworks
• Define key metrics, features, and indicators for performance analysis
• Collaborate with subject matter experts to translate operational concepts into measurable outputs
• Ensure data quality, consistency, and reliability across datasets
• Support visualization and reporting of analytical results
• Establish best practices for data management, documentation, and reproducibility
• Contribute to technical planning and project execution
• Participate in hiring and mentoring of junior data team members as the project expands

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in applied data science or analytics roles
• Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
• Experience working with time-series data and large, complex datasets
• Strong data wrangling, preprocessing, and feature engineering skills
• Experience developing and deploying analytical models in real-world environments
• Solid understanding of statistical methods and data analysis techniques
• Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
• Ability to work independently and translate ambiguous problems into structured solutions

• Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
• Experience in aerospace, defense, simulation, or human performance analytics
• Familiarity with machine learning model development and evaluation
• Experience with data architecture, pipelines, and cloud-based tools
• Prior experience in R&D or applied innovation environments

• Strong problem-solving ability and practical mindset
• Ability to work with incomplete or evolving datasets
• Comfortable operating in an applied, hands-on environment
• Strong communication skills and ability to work with non-technical stakeholders
• Interest in building new capabilities from the ground up

• Competitive salary based on experience ($110,000 – $150,000 CAD)
• Moving allowance available for qualified candidates
• Opportunity to work on a high-impact, technically challenging project
• Potential for contract extension based on project success and business needs

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization.

The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.

AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process.

All candidate assessments and hiring decisions are made by our recruitment and leadership teams.