Data Scientist (Onsite)

Date Posted: 2026-10-14 Country: United States of America Location: US-CT-EAST HARTFORD-M ~ 400 Main St ~ BLDG M 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 At RTX, the world 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. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. What You Will Do: We are looking for an experienced Data Scientist who can bridge the gap between advanced predictive modeling, business intelligence, and complex aviation MRO operations. In this role, you will lead the architecture of our BI applications, spearhead our machine learning initiatives, and build robust data standards for our jet engine overhaul workflows. You will turn complex operational metrics—ranging from material wear patterns to FAA compliance tracking—into clear, actionable insights that drive strategic decision-making across the organization. Key Responsibilities: Web & Business Analytics BI Architecture Leadership: Lead the design, implementation, and support of local business intelligence applications and underlying architecture. Standards & Governance: Develop organizational standards, policies, and procedures regarding the form, structure, and attributes of BI tools and reporting systems. Performance Optimization: Optimize BI tool performance by defining strategic data filtering and indexing strategies that maximize user utility and report speed. Quality Metrics & Testing: Create rigorous testing methodologies, validation criteria, and data/information quality metrics to ensure operational trust in our data. Technology Scouting: Research emerging BI and data technologies, building comprehensive business cases to support their adoption. Strategic Insights: Analyze data trends in shop operations and supply chain to generate insights, draw business conclusions, and directly support operational-level decision-making. Data Science & Machine Learning Predictive Modeling: Lead the analysis, statistical modeling, and interpretative explanation of complex aerospace data to generate robust analytical and predictive results (e.g., component failure forecasting, turnaround time optimization). Analytical Standards: Establish standards, software protocols, and procedures for building predictive models and analytical pipelines. Data Pipeline Management: Discover, clean, extract, and leverage data from enterprise systems to maximize data system performance and analytical accuracy. Model Validation: Design end-to-end testing and validation frameworks, establishing strict quality metrics for predictive models. Operational Problem Solving: Execute targeted data analyses to solve critical engineering, overhaul, and shop floor bottlenecks. Qualifications You Must Have: Advanced degree and 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning, preferably within Manufacturing, Aerospace, supply chain, or an FAA-regulated environment; OR Bachelor’s degree and 5+ years of relevant industry experience. Qualifications We Prefer: Advanced degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Economics, Finance, or a related quantitative field. Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL) Demonstrated success in data cleaning, exploratory data analysis, and deploying production-level predictive models Familiarity with enterprise database systems, data warehousing, and ETL/ELT pipelines Extensive hands-on experience with Databricks for big data processing, collaborative analytics, and managing machine learning pipelines. Familiarity with Solumina databases and manufacturing execution system (MES) data structures to track shop floor assembly, repair, and quality workflows. Experience integrating and querying SAP databases (e.g., SAP ERP/S/4HANA) for resource planning, supply chain, and inventory insights. Expertise in Power BI for designing executive dashboards, interactive visual reports, and optimizing enterprise business intelligence applications. 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 role is: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. 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. 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 86,800 USD - 165,200 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