Factory Analytics Data Scientist I (Remote)

Date Posted: 2026-08-20

Country:

United States of America

Location:

US-IA-CEDAR RAPIDS-105 ~ 400 Collins Rd NE ~ BLDG 105

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

What You Will Do:

• Analyze production, quality, test, and equipment datasets to uncover trends, anomalies, and improvement opportunities.
• Build and maintain predictive models supporting yield improvement, scrap reduction, throughput optimization, equipment health monitoring, and process capability.
• Create dashboards, analytics pipelines, and reporting tools that provide actionable insights to manufacturing and operations teams.
• Partner with operations engineers, quality teams, and frontline staff to understand process needs and turn data findings into real factory impact.
• Document and communicate analytical results to support root‑cause investigations, continuous improvement initiatives, and engineering decisions.
• Support deployment, monitoring, and troubleshooting of analytical models used in production environments.
• Apply statistical process control, experiment design, and data governance standards to ensure reliable and accurate insights.

What You Will Learn:

• How factory systems such as MES, test data systems, and historians generate and store operational data.
• Manufacturing processes, equipment behavior, and the key drivers of throughput, quality, and yield.
• Best practices in operations analytics, including SPC, DOE, root‑cause analysis, and continuous improvement methodologies.
• How to collaborate effectively across operations, engineering, quality, and leadership teams.
• Practical techniques for taking analytics projects from prototype to production in a live factory environment.

Qualifications You Must Have:

• Bachelor's degree in Manufacturing Engineering, Electrical Engineering, or related Science, Technology, Engineering, or Mathematics (STEM) major obtained by start date.

• Internship or academic experience working with real‑world datasets, ideally involving engineering, manufacturing, or operations data.

• Experience in Python, R, or similar analytic programming languages.

• Experience working with SQL and relational databases.

​*Experience may be obtained through on ‑ the ‑ job experience, research, coursework, or projects.

Qualifications We Prefer:

• Prior experience in a manufacturing or operations environment through internships, co‑ops, or project work.
• Experience with Power BI, Tableau, or similar data visualization tools.
• Experience with cloud technologies such as Azure, AWS, or GCP.
• Experience with SPC, Six Sigma, DOE, or other process improvement methodologies.

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Apply now and be part of the team that’s redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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