Factory Data Scientist

Location: US-AZ-REMOTE

Time Type: Full time

Job Description

Date Posted:

2026-03-27

Country:

United States of America

Location:

US-AZ-TUCSON-M09 ~ 3350 E Hemisphere Loop ~ BLDG M09

Position Role Type:

Hybrid

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

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

What You Will Do:

• As a Principal Data Scientist, you will play a key role in transforming factory data into actionable intelligence that directly impacts production performance. Working across Engineering, Operations, and Quality, you will lead the development and deployment of predictive analytics solutions that improve yield, reduce variation, and drive smarter decision-making at scale.
• This is a hands-on, high-impact role where your models will not sit on a shelf; they will directly influence real manufacturing outcomes. You will design, deploy, and sustain production-grade machine learning solutions, build intuitive data visualization and statistical analysis tools, and partner closely with stakeholders to turn complex data into clear, actionable insights. 
• In addition to technical leadership, you will mentor and guide less experienced data scientists and engineers, helping elevate team capabilities and establish best practices in applied data science. You will act as a technical leader, shaping both solutions and the people delivering them. 
• You will become a subject matter expert in factory test data, using that knowledge to uncover opportunities, solve challenging problems, and deliver measurable improvements to production processes. In a fast-paced, multi-tasking environment, you will work directly with customers to ensure data is not just collected, but fully leveraged to improve performance. 
• This role offers the opportunity to shape how data science is applied across the organization, contributing to scalable, production-ready solutions and helping set the standard for advanced analytics in manufacturing. 
• This is a hybrid role based in Tucson, Arizona. 

Qualifications You Must Have:

• Typically requires a University degree or equivalent experience and a minimum of 8 years of prior relevant experience or an Advanced Degree in a related field and a minimum of 5 years experience.
• Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
• Experience developing in Python (NumPy, SciPy, scikit-learn, scikit-image) for production-grade statistical or machine learning applications (beyond academic examples).
• Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments. 
• Experience with relational database management and SQL development.

Qualifications We Prefer:

• Experience with statistical tools such as Minitab, R, JMP, or SAS.Experience with machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management. 
• Experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
• Experience designing, training, fine-tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
• Experience working with large language models (LLMs), including fine-tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
• Experience operating in a technical leadership or mentoring.

What We Offer:

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

Learn More & Apply Now!

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 107,500 USD - 204,500 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.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms