Position Details
About this role
This role involves end-to-end data science work to support fleet maintenance and operational decisions at United Airlines, focusing on data extraction, analysis, and model deployment.
Key Responsibilities
- Partner with stakeholders to identify use cases
- Extract and analyze data from multiple sources
- Build, test, deploy, and monitor models
- Develop reports and dashboards
- Improve existing analytics solutions
Technical Overview
Utilizes Python, SQL, machine learning frameworks, and statistical models to analyze operational and sensor data, build predictive models, and develop reporting dashboards.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 2+ years of experience in machine learning and statistical modeling, proficient in Python and SQL, with a strong analytical mindset and experience working with large datasets and sensor data.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in modeling/machine learning, No proficiency in Python or SQL, Bachelor's degree not in quantitative field, Less than 2 years of relevant experience
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