Date Posted:2026-05-12
Country:United States of America
Location:US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC
Position Role Type:Onsite
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
What You Will Do:As part of our Statistics and Data Analytics team, your key focus areas will include, but are not limited to:
- Collaborate with multi-disciplinary teams of engineers and analysts using classical and modern statistical learning methods.
- Communicate effectively with non-statisticians and engage in engineering discussions with all levels of the organization.
- Train engineers in various statistical methods and technologies including survival analysis
- Exhibit proven knowledge in: High Dimensional Data Analysis, Bayesian Methods, Survival Analysis, Machine Learning, Data Management, General Linear Models, Probability, Hypothesis Testing, Experimental Design, Categorical Data Analysis, Statistical Process Control
- Build, test, and deploy ML models across multiple use cases (design optimization, product inspection, field investigation, productivity assistants, etc.)
- Utilize LLMs to develop business insights
- Create Data & AI driven AI applications (regression, classification, computer vision, NLP/LLM/GenAI, forecasting, anomaly detection, etc.)
- Define, document, and train AI/ML best practices.
- Provide guidance to entry-level statisticians on the team
- Participate in external and internal learning opportunities
Qualifications You Must Have:- BS Degree in Statistics (Biostatistics, Mathematics, Data Science, Operations Research or similar field).
- 8+ years of statistical work experience or MS or PhD Degree in Statistics (Biostatistics, Mathematics, Data Science, Operations Research or similar field) with 5+ years of statistical work experience.
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Qualifications We Prefer: - Experience in AI/ML and Big Data Tools (e.g. DataBricks, AWS)
- Statistical consulting experience
What We Offer:- Benefits
- Relocation Package
Learn More & Apply Now!What is my role type?In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment.
This position is classified as:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
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.
