Senior Data Scientist – Applied AI & Analytics

About the role

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. The role focuses on transforming complex, multi‑source operational data into structured insights, performance metrics, and scalable analytical tools.

Key responsibilities

• Lead 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.

Required profile

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or 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.

Required skills

• Python
• Pandas
• NumPy
• Scikit‑learn
• Time‑series analysis
• Data wrangling
• Feature engineering
• Statistical modeling
• Data visualization (matplotlib, seaborn, Power BI)

What we offer

• Competitive salary $110,000 – $150,000 CAD based on experience.
• Moving allowance for qualified candidates.
• 2‑year contract with option to extend.
• Opportunity to work on high‑impact, technically challenging project in aerospace and advanced analytics.