Senior Data Scientist

GE Aerospace; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

GE Aerospace is seeking a Data Scientist to join a data science or cross-disciplinary team supporting FlightPulse development programs with large, complex datasets. You will build, validate, deploy, and support analytics solutions that deliver measurable business value for customers.

You will work across the analytics lifecycle from exploratory analysis to deployment and customer support, collaborating with product, software, and domain teams to turn customer needs into practical analytics that

Qualifications

• Experience with large, high-value datasets.
• Ability to translate business problems into analytical solutions.
• Exposure to customer implementation activities and support.

Responsibilities

• Develop, verify, and validate analytics to address customer needs and product objectives.
• Work with cross-functional teams to design and develop analytics for FlightPulse.
• Contribute to deployment, support, and continuous improvement of FlightPulse.
• Perform data analyses to identify patterns, trends, and actionable insights.
• Assess data quality and perform data profiling, cleansing, transformation, and preparation.
• Translate business problems into analytical solutions for product functionality.
• Communicate findings clearly to technical and non-technical stakeholders.
• Support customer onboarding, analytics rollout, and deployment readiness.
• Collaborate with global teams balancing technical quality with business impact.
• Document analytical methods, validation results, and limitations.

Skills

Exploratory data analysis

Data cleansing

Data quality assessment

Analytical modeling

Cross-functional collaboration

Customer-facing communication

Problem solving

Education

Bachelor's degree in a quantitative field

Tools

EMS platforms

Job description

Job Description Summary

As a Data Scientist, you will be part of a data science or cross-disciplinary team supporting commercially facing development programs that involve large, complex, and high-value datasets. You will work with computer scientists, software developers, engineers, product managers, customer-facing teams, and end users to build, validate, deploy, and support analytics solutions that solve real customer problems and create measurable business value.

In this role, you will help develop analytics for the FlightPulse product, contributing across the lifecycle from exploratory analysis and data quality assessment through deployment, implementation, and customer support. You will work at the intersection of product development, technical execution, and customer engagement, applying analytical rigor and a collaborative approach in a cross-functional environment.

This role is well suited for a data science professional who is eager to grow their technical and customer-facing skills, works well on a team, and enjoys turning customer needs into useful analytical capabilities.

Job Description

Essential Responsibilities:

• Develop, verify, and validate analytics to address customer needs and product objectives.
• Work as part of a cross-functional team to design and develop new analytics for the FlightPulse product.
• Contribute to the development, deployment, support, and continuous improvement of the FlightPulse product.
• Perform exploratory, diagnostic, and targeted data analyses to identify patterns, trends, anomalies, and actionable insights.
• Assess data quality and perform data profiling, cleansing, transformation, and preparation to ensure data is fit for purpose.
• Work with product, engineering, and domain teams to understand analytical requirements and translate business problems into analytical solutions.
• Communicate findings, technical issues, and recommendations clearly to technical and non-technical stakeholders.
• Support customer implementation activities, including onboarding, analytics rollout, issue resolution, and deployment readiness.
• Provide customer support related to analytics performance, data quality issues, interpretation of outputs, and product functionality.
• Participate in technical problem solving across the analytics lifecycle, including development, testing, deployment, and production support.
• Help improve the quality, reliability, and usability of analytics embedded within FlightPulse.
• Document analytical methods, assumptions, validation results, limitations, and support procedures.
• Collaborate with global and cross-functional teams, balancing technical quality with customer and business impact.
• Contribute ideas to improve analytics development processes, validation practices, and support models.

Minimum Required Qualifications

• Bachelor's Degree from an accredited college or university and a minimum of 3 years of experience in data analytics, data science, advanced analytics, or a related technical field
• For candidates outside USA: Bachelor's Degree from an accredited college or university (Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline) with advanced experience as described throughout this job description.
• For candidates in USA: Bachelor's degree from an accredited college or university (Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline) with a minimum of 3 years experience in data analytics, data science, advanced analytics, or a related technical field.

Desired Characteristics / Technical Expertise:

• Experience performing exploratory data analysis, data cleansing, and data quality assessment on large datasets.
• Experience developing, testing, validating, or supporting analytical models, algorithms, or data-driven solutions.
• Familiarity with EMS platforms (experience preferred but not required; training will be provided).
• Exposure to customer implementation activities such as onboarding, deployment coordination, and issue resolution.
• Exposure to customer support, including troubleshooting analytics, investigating data issues, and responding to user needs.
• Strong analytical and technical problem-solving skills.
• Familiarity with supporting analytics through production deployment and post-deployment monitoring.
• Ability to connect technical outputs to product functionality and customer outcomes.
• Experience working with data science, software, or product teams, ideally in a commercially facing environment.
• Working knowledge of statistical analysis, machine learning methods, and practical model validation approaches.
• Experience working with multi-source datasets in a product or operational setting.

Domain Knowledge:

• Interest in or exposure to one or more industry sectors where GE operates (aviation experience a plus).
• Ability to understand customer problems and contribute to solutions that deliver