Note: The job is a remote job and is open to candidates in USA. Pursuit Aerospace is a global manufacturer of complex aircraft engine components, committed to operational improvement and customer service. The lead data scientist will build data, analytics, and AI solutions to support SIOP transformation and deliver business impact on inventory and customer service.
Responsibilities
- 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
Skills
- 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. The Company cannot offer employment to visa holders who require employer sponsorship in the future or cannot work now on a full-time basis
- Must be able to perform work subject to ITAR/EAR regulations
- Bachelor's degree in data science or related field preferred
- Master's degree preferred
- Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on with Claude for AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform
- Effective AI-assisted product development and proficient in using AI to plan, build, and quality-check code, and can critically evaluate, debug, and improve what it generates
- Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management and clear-to-build reporting
- Aerospace and/or manufacturing experience
- Familiarity with ERP systems and hands-on experience with purchase order, production order, and inventory data
Benefits
- Health and disability insurance
- 401(k) match
- Flexible spending accounts
- EAP
- Paid time off
- Company-paid holidays
Company Overview