Senior Data Scientist (Applied AI & Analytics)

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    "description": "<p><span style=\"font-weight: bold\">Job Title: Senior Data Scientist (Applied AI &amp; Analytics)</span></p>\n<p><span style=\"font-weight: bold\">Location:</span> London, ON / North Bay, ON (Hybrid)<br><span style=\"font-weight: bold\">Employment Type:</span> 2-Year Contract (with option to extend)<br><span style=\"font-weight: bold\">Salary Range:</span> $110,000 – $150,000 CAD (commensurate with experience)<br><span style=\"font-weight: bold\">Relocation Support:</span> Moving allowance available</p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">About ITPS</span></p>\n<p>International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.</p>\n<p>As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Role Overview</span></p>\n<p>ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&amp;D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.</p>\n<p>The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li>Lead the design and development of data processing pipelines for complex, multi-source datasets</li>\n<li>Develop methodologies to extract meaningful insights from time-series and high-frequency data</li>\n<li>Design and implement statistical models and machine learning approaches where appropriate</li>\n<li>Structure and integrate diverse data sources into unified analytical frameworks</li>\n<li>Define key metrics, features, and indicators for performance analysis</li>\n<li>Collaborate with subject matter experts to translate operational concepts into measurable outputs</li>\n<li>Ensure data quality, consistency, and reliability across datasets</li>\n<li>Support visualization and reporting of analytical results</li>\n<li>Establish best practices for data management, documentation, and reproducibility</li>\n<li>Contribute to technical planning and project execution</li>\n<li>Participate in hiring and mentoring of junior data team members as the project expands</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Qualifications &amp; Experience</span></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field</li>\n<li>5+ years of experience in applied data science or analytics roles</li>\n<li>Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)</li>\n<li>Experience working with time-series data and large, complex datasets</li>\n<li>Strong data wrangling, preprocessing, and feature engineering skills</li>\n<li>Experience developing and deploying analytical models in real-world environments</li>\n<li>Solid understanding of statistical methods and data analysis techniques</li>\n<li>Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)</li>\n<li>Ability to work independently and translate ambiguous problems into structured solutions</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred Qualifications</span></p>\n<ul>\n<li>Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)</li>\n<li>Experience in aerospace, defense, simulation, or human performance analytics</li>\n<li>Familiarity with machine learning model development and evaluation</li>\n<li>Experience with data architecture, pipelines, and cloud-based tools</li>\n<li>Prior experience in R&amp;D or applied innovation environments</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We’re Looking For</span></p>\n<ul>\n<li>Strong problem-solving ability and practical mindset</li>\n<li>Ability to work with incomplete or evolving datasets</li>\n<li>Comfortable operating in an applied, hands-on environment</li>\n<li>Strong communication skills and ability to work with non-technical stakeholders</li>\n<li>Interest in building new capabilities from the ground up</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Compensation &amp; Benefits</span></p>\n<ul>\n<li>Competitive salary based on experience ($110,000 – $150,000 CAD)</li>\n<li>Moving allowance available for qualified candidates</li>\n<li>Opportunity to work on a high-impact, technically challenging project</li>\n<li>Potential for contract extension based on project success and business needs</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Why Join ITPS</span></p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">AI Disclosure: </span><span>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.</span></p>",
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