
1001 - 5000 employees
🚀 Aerospace
🏭 Manufacturing
🤝 B2B
💰 Private equity on 2023-03
Aerospace • Manufacturing • B2B
Pursuit Aerospace is a global manufacturer of complex aircraft engine components developed through highly integrated processes. The company provides full-service, in-house capabilities — including precision machining, casting, inspection, special processes, and MRO — aimed at delivering a trusted supply chain for aerospace customers. Pursuit emphasizes continual improvement of people, processes, and products and operates multiple facilities across the United States, Canada, the UK, Mexico, and Tunisia.
🔥 2 minutes ago
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1001 - 5000 employees
🚀 Aerospace
🏭 Manufacturing
🤝 B2B
💰 Private equity on 2023-03
Aerospace • Manufacturing • B2B
Pursuit Aerospace is a global manufacturer of complex aircraft engine components developed through highly integrated processes. The company provides full-service, in-house capabilities — including precision machining, casting, inspection, special processes, and MRO — aimed at delivering a trusted supply chain for aerospace customers. Pursuit emphasizes continual improvement of people, processes, and products and operates multiple facilities across the United States, Canada, the UK, Mexico, and Tunisia.
• Support the development of data, analytics, and AI solutions for SIOP transformation • Help deliver measurable business impact on inventory and customer service • Frame supply chain problems with senior team members and business partners • Prepare and analyze operational data • Develop and evaluate machine learning, statistical, forecasting, and time-series models • Perform exploratory data analysis, data cleaning, feature engineering, validation, and performance evaluation • Translate analytical findings into insights and recommendations for business stakeholders • Support AI-powered applications and tools, including Generative AI and Large Language Model solutions • Contribute to end-to-end data science projects from problem definition and data preparation through modeling, testing, visualization, and deployment • Develop and maintain analytical datasets and data transformation workflows using Python and SQL • Integrate data from multiple enterprise systems • Develop dashboards, analytical applications, and decision-support tools • Follow standards for testing, version control, documentation, monitoring, and maintainable code • Collaborate with Product, Engineering, Operations, Supply Chain, and business stakeholders • Contribute to data products including Snowflake tables, forecasting models, inventory analytics, dashboards, and AI-powered tools • Validate outputs, identify data or model issues, document solutions, and support continuous improvement • Improve data quality by profiling operational datasets and investigating issues • Communicate analytical results and support adoption of data-driven tools and recommendations
• Bachelor’s degree • 1+ years of experience in data science, analytics, engineering, or a related quantitative role using SQL and/or Python for data analysis, data preparation, or analytical solution development • Relevant internships, co-ops, or research experience may be considered • Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future • Must be able to perform work subject to ITAR/EAR regulations • Requires mobility in a manufacturing plant environment while using Personal Protective Equipment • Must be able to frequently sit, stand and walk • Must be able to lift and carry up to 15 pounds • Must be able to have prolonged periods sitting at a desk and working on a computer • Must be able to travel between locations or to suppliers up to 25% of time
• Health and disability insurance • 401(k) match • Flexible spending accounts • Employee Assistance Program (EAP) • Paid time off • Company-paid holidays
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