Data Science Co-op: SaaS Analytics & Growth (Relocation)

CC2007 GE Flight Efficiency Services, Incorporated; Austin (TX); On-site; USD 48,000 - 60,000; Part time

Benefits offered by this job

Pay rate starting at $24/hour

Mentorship & professional development

Hands-on SaaS data projects

Job summary

GE Aerospace is seeking a curious Data Science Co-op to join our SaaS team in Austin, TX. You will partner across data science, software, product, and business units to solve problems with data and support product performance and customer outcomes.

This role provides practical experience, mentorship, and hands-on exposure to data-driven decision making in a fast-paced environment, with opportunities to build skills for future full‑time roles in data science, analytics, software, or related

Qualifications

• Enrolled in an accredited Associate/Bachelor’s/Master’s degree program (STEM or related).
• Minimum 3.0 GPA on a 4.0 scale, non‑rounded.
• Willing to work in Austin, TX.
• Reliable transportation to site.

Responsibilities

• Analyze product and business data to identify patterns, trends, risks, and opportunities.
• Build and improve dashboards, reports, and visualizations for informed decisions.
• Support development of data models and ML solutions for use cases like customer behavior, forecasting, segmentation, or optimization.
• Work with large datasets from product usage, customers, sales, and support.
• Collaborate with cross‑functional teams to translate business questions into analyses.
• Assist with data cleaning, feature engineering, validation, and exploratory analysis.
• Communicate findings clearly to technical and non‑technical stakeholders.
• Contribute to experimentation and measurement frameworks (A/B tests, KPIs).
• Document methods, assumptions, and results for reproducibility.

Skills

Python

R

SQL

Pandas

Jupyter

Education

Bachelor's degree in STEM or related field

Tools

Tableau

Power BI

Job description

GE Aerospace is seeking a curious Data Science Co-op to join our SaaS team in Austin, TX. You will partner across data science, software, product, and business units to solve problems with data and support product performance and customer outcomes.

This role provides practical experience, mentorship, and hands-on exposure to data-driven decision making in a fast-paced environment, with opportunities to build skills for future full‑time roles in data science, analytics, software, or related