Note: The job is a remote job and is open to candidates in USA. RTX is an aerospace and defense company developing advanced solutions for a safer, more connected world. The Factory Analytics Data Scientist I will analyze manufacturing data, build predictive models, create analytics tools, and partner with operations and engineering teams to improve factory performance, quality, yield, and throughput.
Responsibilities
- 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
Skills
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
- 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
- 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
Benefits
- Hired applicants may be eligible for medical, dental, vision, life insurance, short-term disability, and long-term disability.
- Hired applicants may be eligible for a 401(k) match.
- Hired applicants may be eligible for flexible spending accounts.
- Hired applicants may be eligible for flexible work schedules.
- Hired applicants may be eligible for an employee assistance program.
- Hired applicants may be eligible for the Employee Scholar Program.
- Hired applicants may be eligible for parental leave, paid time off, and holidays.
- 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.
- Employees who are working in Remote roles will work primarily offsite (from home).
Company Overview