
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.
🕒 June 26
🌵 Arizona, Connecticut, +5 more states – Remote
💵 $144k - $198k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
👻 Ghost score 21%
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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. • 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. • Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology. • Engineer trustworthy data: turn large, messy operational data into well-structured, trusted datasets, and develop continuous improvement framework to enhance data quality and integrity. • Drive decisions and adoption: translate analytical results and tools into clear, decision-ready recommendations and drive adoption across the business.
• Bachelor’s degree required • 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes • 2+ years in SQL, Python, Machine learning modeling, and time-series analytics • 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.
• Health and disability insurance • 401(k) match • Flexible spending accounts • EAP • Paid time off • Company-paid holidays
Apply Now🕒 June 25
Senior Data Scientist generating medical insights from longitudinal clinical data for Atria Health. Building forecasting models and operational analytics to improve healthcare delivery.
🕒 June 24
Project Lead Consultant leading client-facing Data and AI initiatives at a consulting firm. Ensuring high-quality outcomes that enable better business decisions through project leadership and analytics solutions.
🕒 June 24
Data Science Manager leading a team to build fraud detection models for SentiLink's identity verification solutions. Overseeing model development and mentoring data scientists to drive high visibility projects.
🇺🇸 United States – Remote
💵 $210k - $260k / year
💰 $70M Series B on 2021-08
⏰ Full Time
🟠 Senior
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 June 24
Lead Data Scientist at Forward Financing driving data science initiatives and advanced model deployments for strategic business decisions in fintech.
🇺🇸 United States – Remote
💵 $160k - $220k / year
💰 $250M Debt Financing on 2021-05
⏰ Full Time
🟠 Senior
📊 Data Scientist
🕒 June 24
ADF with Data Bricks, Snowflake Lead at Infinity Outsourcing. Responsible for designing, building, and maintaining data processing pipelines and frameworks.