Date Posted:2025-09-03Country:United States of AmericaLocation:VA542: 22260 Pacific Blvd, Dulles 22260 Pacific Boulevard Building CC4, Sterling, VA, 20166-6916 USAPosition Role Type:UnspecifiedU.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance: Secret - CurrentRaytheon Company Managed by Collins AerospaceCollins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.Collins Aerospace is seeking a highly motivated and talented Senior Data Science Engineer with a strong interest in AI/ML and advanced analytics to join our team. The ideal candidate will be passionate about developing and applying data science techniques to solve complex customer problems. This role will involve hands-on experience in machine learning, statistical analysis, and data-driven decision-making to help shape the data strategy and drive insights from large, varied datasets.  What You Will Do: <ul><li>Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights</li><li>Train, validate and deploy machine learning pipelines</li><li>Test, troubleshoot, and enhance customer software applications with and on behalf of customers</li><li>Identify application performance bottlenecks and implement optimizations</li><li>Write application specifications, tutorials and documentation</li></ul>Qualifications You Must Have: <ul><li>3+ years of experience solving complex problems using data science methods, including applied machine learning (regression, classification, supervised, and unsupervised learning) and time-series data analysis.</li><li>Proficient in scalable machine learning (e.g., MapReduce, streaming) and numpy, panda data science libraries, and skilled in data cleansing, normalization, and version control using Git or similar tools.</li><li>Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) and analyzing model performance with relevant metrics and optimizing.</li><li>Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.</li></ul>Qualifications We Prefer:<ul><li>MS/PhD in Computer Science, Electrical Engineering, Statistics, or equivalent STEM fields with a strong foundation in linear algebra, calculus, probability, and statistics.</li><li>Able to work independently, drive projects autonomously, and contribute effectively in team settings.</li><li>Skilled in improving processes, systems, or products, mentoring junior engineers, and addressing complex, multi-faceted problems.</li><li>Knowledgeable, motivated, ethical, and focused on advancing organizational goals with strong verbal and written communication skills.</li></ul>What We Offer:Some of our competitive benefits package includes: <ul><li>Medical, dental, and vision insurance</li><li>Three weeks of vacation for newly hired employees</li><li>Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option</li><li>Tuition reimbursement program</li><li>Student Loan Repayment Program</li><li>Life insurance and disability coverage</li><li>Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection</li><li>Birth, adoption, parental leave benefits</li><li>Ovia Health, fertility, and family planning</li><li>Adoption Assistance         </li><li>Autism Benefit</li><li>Employee Assistance Plan, including up to 10 free counseling sessions</li><li>Healthy You Incentives, wellness rewards program</li><li>Doctor on Demand, virtual doctor visits</li><li>Bright Horizons, child and elder care services</li><li>Teladoc Medical Experts, second opinion program</li><li>And more! </li></ul>Learn More &amp; Apply Now!​Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions — whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you’ll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. ​*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ​This is an Onsite role: 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. ​At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.  ​Apply now and be part of the team that’s redefining aerospace, every day.  Employee Referral EligibleAs 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 90,000 USD - 182,000 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. 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