SaaS Flight Analytics Platform Data Science Co-op Spring 2027

Job Description Summary:

We are looking for acurious collaborative and highly motivated Data Science Co-opto join our SaaS team. This is an opportunity for students who want to strengthen both theirtechnical skillsandbusiness acumenwhile working on meaningful projects that influence real product and customer outcomes.

As a Data Science Co-op you will partner with teammates acrossdata science software engineering product and business functionsto help solve problems using data. You will contribute to projects that improve product performance customer experience operational efficiency and data-driven decision making. Along the way you will learn from experienced professionals build your network and gain hands-on exposure to how data science supports growth in a SaaS environment.

This co-op is designed to provide practical experience professional development mentorship and the opportunity to build skills that can support future full-time roles in data science analytics software or related technical functions.

Essential Responsibilities:

In this role you may:

• Analyze product and business datato identify patterns trends risks and opportunities.
• Build and improve dashboards reports and visualizationsthat help teams make informed decisions.
• Support development of data models and machine learning solutionsfor use cases such as customer behavior analysis forecasting segmentation recommendation or operational optimization.
• Work with large datasetsfrom product usage customer interactions sales support and other business systems.
• Collaborate with cross-functional teamsincluding engineering product management customer success and operations to translate business questions into analytical approaches.
• Assist with data cleaning feature engineering validation and exploratory analysisto improve data quality and model performance.
• Communicate findings clearlyto 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 resultsso work is reproducible understandable and actionable.
• Participate in team learning mentoring and professional development opportunitieswhile gaining exposure to SaaS product and business operations.

Requirements:

• Currently enrolled in an Associates Bachelors or Masters 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

Eligibility Requirements:

Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Desired Characteristics:

A strong candidate will have exposure to some of the following:

• Programming languagessuch as Python R or SQL
• Data analysis and visualization toolssuch as pandas Jupyter Tableau Power BI or similar
• Statistics and modeling techniquesincluding regression classification clustering or hypothesis testing
• Data wrangling and exploratory analysis
• Cloud analytics or SaaS data environmentsthrough coursework or projects

We are especially interested in candidates who are:

• Analyticaland able to approach ambiguous problems with structured thinking
• Personableand comfortable collaborating across technical and non-technical teams
• Highly organizedwith strong attention to detail
• Curious learnerswho are eager to grow technically and professionally
• Self-motivatedand able to manage tasks in a fast-paced environment
• Effective communicatorswho can explain complex findings in simple terms
• Adaptableand excited to work on evolving priorities and business needs
• Customer-mindedand interested in how data improves user and business outcomes

Benefits:

Pay rates for this position begin at $24/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.