• Coordinate 3–4 concurrent workstreams (data science, MLOps, engineering, front-end/back-end) and track progress against tight delivery timelines. • Align internal data science teams (Mexico, India, Spain, US) with partner S&T/engineering organizations. • Identify cross-functional blockers and drive proactive resolution to maintain schedule. • Represent the data science team in frequent S&T-led working sessions and executive updates. • Serve as primary liaison between data science teams, engineering/S&T teams and internal leadership. • Manage meeting cadence, follow-ups, execution tracking and action ownership. • Translate technical progress and risks into clear, concise status updates for stakeholders. • Ensure teams receive required data inputs, meet deliverables and coordinate dependencies. • Establish and manage workstreams, coordination processes and cross-team communication flows. • Drive accountability and orchestrate cross-team workflows without impeding execution velocity.

• Own Marketing Data Strategy, Architecture & CDP Ecosystem: Define and lead the end-to-end marketing data framework across collection, integration, unification, governance, activation, and measurement. • Ensure Data Integrity, Governance & Compliance: Establish lifecycle definitions, taxonomy standards, validation rules, identity frameworks, and consent management processes. • Build a Unified Account & Buying Group Model: Design and maintain a trusted single view of the account and buying committee. • Lead Measurement & Attribution Strategy: Define and evolve multi-touch attribution models, funnel measurement standards, and closed-loop revenue reporting. • Generate Strategic Insights & Business Recommendations: Translate unified marketing and GTM data into actionable analytical insights. • Drive Cross-Functional Impact & Continuous Improvement: Partner across Marketing, RevOps, Sales, Finance, and Data teams to align systems and processes.

• Design and implement data science, machine learning, and AI solutions to support strategic decision-making • Perform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvements • Contribute to cross-functional initiatives involving data science, ML, and AI engineering use cases • Develop knowledge bases from structured and unstructured data to support RAG systems and AI agents • Build data-driven applications (e.g., Streamlit) to enable internal access to AI-powered capabilities • Partner with stakeholders to deliver actionable insights and recommendations • Continuously improve processes and identify opportunities for automation and efficiency

Date Posted: 2026-04-07Country: United States of AmericaLocation: US-AZ-REMOTEPosition Role Type: RemoteU.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 RequiredSecurity Clearance Status: Not Required 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. Raytheon is seeking an experienced Data Scientist to join our Digital Technology Analytics & Automation Applied Artificial Intelligence team. What You Will Do: As a Senior Principal Data Scientist, you will work across functional areas to support the application of data science and software engineering methods and techniques for production-scale internal use and external research. You will collaborate with stakeholders across Raytheon, RTX, and the Applied Artificial Intelligence team to develop analytic products for agile delivery, spanning manufacturing, engineering, business development, and supply chain functions. This role allows you to influence organizational standards by researching and deploying technical solutions for customers as part of a broader ecosystem of machine learning and advanced analytics professionals. Qualifications You Must Have: - Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience - Experience with Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical and/or machine learning applications (beyond academic examples). - Experience with relational databases management and SQL development. - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Qualifications We Prefer: - Experience meeting with business stakeholders to identify and develop requirements for strategic use cases and research opportunities. - Experience applying quantitative techniques (normalization, standardization, applied statistics) to cleanse and explore large, complex data sets in preparation for further analysis. - Experience with design, train, fine tune, deploy Large Language Models (LLMs) (e.g. GPT-based, Mistral, custom transformer architectures). - Experience in creating repeatable, reusable processes and scalable data products with the advanced analytics team using Scaled Agile Framework methodology. - Proficiency with at least one deep learning framework such as PyTorch, TensorFlow. - Experience building data visualizations with applications such as Tableau, Microsoft PowerBI, etc. - Experience with commercial software development processes: good software hygiene regarding code documentation, unit testing, bug tracking, version control, MLOps concepts, processes, and technologies. - Familiarity deploying machine learning models in public cloud services such as AWS, or Azure. - Experience with Complex Neural Net architectures and high performance compute management tools (i.e. Slurm, HTCondor). - Track record of GPU programming, network optimization and deployment for data science applications 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. Please consider the following role type definition as you apply for this role. - Remote: This position currently is designated as remote. Employees who are working in remote roles will work primarily offsite (from home) but may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories). 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