
1001 - 5000 employees
π Aerospace
π Manufacturing
π€ B2B
π° Private equity on 2023-03
Aerospace β’ Manufacturing β’ 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 β including precision machining, casting, inspection, special processes, and MRO β 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.
π June 26
π΅ Arizona, Connecticut, +5 more states β Remote
π΅ $144k - $198k / year
β° Full Time
π Senior
π Data Scientist
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1001 - 5000 employees
π Aerospace
π Manufacturing
π€ B2B
π° Private equity on 2023-03
Aerospace β’ Manufacturing β’ 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 β including precision machining, casting, inspection, special processes, and MRO β 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.
β’ Deliver high-impact analytics: partner with cross-functional leaders to scope the problems and ship solutions that move real metrics: inventory, on-time delivery, and cost. β’ Build end-to-end products: build products independently and iterate quickly based on business feedback including data pipeline and snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics, dashboards, and AI-powered tools. β’ Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology. β’ Engineer trustworthy data: turn large, messy operational data into well-structured, trusted datasets, and develop continuous improvement framework to enhance data quality and integrity. β’ Drive decisions and adoption: translate analytical results and tools into clear, decision-ready recommendations and drive adoption across the business.
β’ Bachelorβs degree required β’ 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes β’ 2+ years in SQL, Python, Machine learning modeling, and time-series analytics β’ Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future. β’ Must be able to perform work subject to ITAR/EAR regulations.
β’ Health and disability insurance β’ 401(k) match β’ Flexible spending accounts β’ EAP β’ Paid time off β’ Company-paid holidays
Apply Nowπ June 26
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