Senior Data Scientist

Posted Yesterday
3 Locations
In-Office or Remote
Senior level
Aerospace • Energy
The Role
Develop, validate, deploy, and support analytics for GE Aerospace’s FlightPulse product. Responsibilities include exploratory analysis, data quality assessment, data preparation, model validation, production support, customer implementation, troubleshooting, and communicating insights to technical and non-technical stakeholders. The role collaborates with product, engineering, software, domain, and customer-facing teams to translate business needs into reliable analytical solutions and improve product performance and customer outcomes.
Summary Generated by Built In
Job Description SummaryAs 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 measurable customer value.
  • Ability to connect analytical work to operational outcomes, product performance, and customer adoption.
  • Basic understanding of how analytics supports monitoring, diagnostics, optimization, and decision-making in commercial or industrial settings.

Teamwork and Communication:

  • Experience working effectively in team settings as a contributor and collaborator.
  • Sound critical thinking and structured problem-solving skills.
  • Good presentation and communication skills, including explaining technical findings clearly.
  • Ability to build working relationships and contribute to alignment in cross-functional environments.
  • Ownership of assigned work, with the ability to manage multiple tasks and meet commitments.
  • Willingness to share knowledge with teammates and to seek feedback and mentorship from senior colleagues.

Personal Attributes:

  • Openness to new approaches and willingness to help the team adopt improvements.
  • Ability to work in changing environments with guidance from senior team members.
  • Customer-focused, proactive, and solution-oriented mindset.
  • Strong learning agility and willingness to work across technical, product, and customer-facing activities.
  • High attention to detail with a commitment to quality, accuracy, and follow-through.
  • Collaborative approach with the ability to build trust across functions.
  • Strong written and verbal communication skills.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. ​


GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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.


Relocation Assistance Provided: Yes

Skills Required

  • Bachelor’s degree from an accredited college or university
  • At least 3 years of experience in data analytics, data science, advanced analytics, or a related technical field
  • For U.S. candidates, a degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline
  • For candidates outside the U.S., a degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline
  • Ability to prove U.S. Person status for access to export-controlled information
  • Experience with 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 with customer onboarding, deployment coordination, issue resolution, or customer support
  • Working knowledge of statistical analysis, machine learning methods, and model validation
  • Experience supporting analytics through production deployment and post-deployment monitoring
  • Experience working with multi-source datasets in a product or operational setting
  • Strong analytical, technical problem-solving, communication, and collaboration skills

GE Aerospace Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Aerospace and has not been reviewed or approved by GE Aerospace.

  • Healthcare Strength — Health coverage spans medical, dental, vision, prescription drugs, behavioral health support, and some on‑site healthcare options. Wellbeing programs emphasize physical, emotional, and social support and are often characterized as part of a top‑notch package.
  • Retirement Support — Retirement programs include a 401(k) with company contributions, long‑term financial planning tools, and vesting provisions. Legacy pension benefits remain for eligible employees despite the plan being frozen.
  • Leave & Time Off Breadth — Time‑off offerings include paid vacation, holidays, sick time, personal days, and flexible work arrangements, with permissive PTO noted for some salaried roles. Family support includes generous parental leave and adoption assistance.

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The Company
HQ: Cincinnati, OH
156,896 Employees
Year Founded: 1917

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