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SaaS - Flight Analytics Platform - Data Science Co-op - Spring 2027

GE Aerospace

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Hours
Full time
Where
Austin
Apply by
End Date: October 2, 2027
Posted
2 days ago

Job Description Summary

Job Description

Job Description Summary:

We are looking for a curious, collaborative, and highly motivated Data Science Co-op to join our SaaS team. This is an opportunity for students who want to strengthen both their technical skills and business acumen while working on meaningful projects that influence real product and customer outcomes.

As a Data Science Co-op, you will partner with teammates across data science, software engineering, product, and business functions to help solve problems using data. You will contribute to projects that improve product performance, customer experience, operational efficiency, and data-driven decision making.

What you'd do

  • Analyze product and business data to identify patterns, trends, risks, and opportunities.
  • Build and improve dashboards, reports, and visualizations that help teams make informed decisions.
  • Support development of data models and machine learning solutions for use cases such as customer behavior analysis, forecasting, segmentation, recommendation, or operational optimization.
  • Work with large datasets from product usage, customer interactions, sales, support, and other business systems.
  • Collaborate with cross-functional teams including engineering, product management, customer success, and operations to translate business questions into analytical approaches.
  • Assist with data cleaning, feature engineering, validation, and exploratory analysis to improve data quality and model performance.
  • Communicate findings clearly to both technical and non-technical stakeholders through presentations, summaries, and visual storytelling.
  • Contribute to experimentation and measurement frameworks, including A/B testing, KPI tracking, and performance analysis.
  • Document methods, assumptions, and results so work is reproducible, understandable, and actionable.
  • Participate in team learning, mentoring, and professional development opportunities while gaining exposure to SaaS product and business operations.

What they want

  • Currently enrolled in an Associate’s, Bachelor’s, or Master’s degree program at an accredited university or in a credentialed technical training program; majors accepted are: Data Science, Statistics, Applied Mathematics, Computer Science, Computer Engineering, Informatics, Management Information Systems, Software Engineering, or another relevant STEM field
  • Experience with data analysis, statistics, programming, or software/data projects through coursework, internships, research, or personal projects
  • Minimum 3.0 cumulative GPA on a 4.0 scale, without rounding
  • Willing to work in Austin, TX
  • Reliable transportation, many of our sites do not have public transportation available
  • Programming languages such as Python, R, or SQL
  • Data analysis and visualization tools such as pandas, Jupyter, Tableau, Power BI, or similar
  • Statistics and modeling techniques including regression, classification, clustering, or hypothesis testing
  • Data wrangling and exploratory analysis
  • Cloud, analytics, or SaaS data environments through coursework or projects
Starts
2026-09-21