Data Science Engineer II - AI/ML-TS/SCI Poly Required (Onsite)

Data Science Engineer II - AI/ML-TS/SCI Poly Required (Onsite)

Apply locations VA542: 22260 Pacific Blvd, Dulles 22260 Pacific Boulevard Building CC4, Sterling, VA, 20166-6916 USA

time type Full time

posted on Posted 3 Days Ago

job requisition id 01754930

Date Posted: 2025-03-03

Country: United States of America

Location: VA542: 22260 Pacific Blvd, Dulles 22260 Pacific Boulevard Building CC4, Sterling, VA, 20166-6916 USA

Position Role Type: Onsite

Raytheon Company Managed by Collins Aerospace

Collins 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.

We are seeking a highly motivated and talented Data Science Engineer II 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, diverse datasets. This position will be onsite in Tysons Corner, VA and requires an active and transferable U.S. government issued TS/SCI Poly security clearance.

What You Will Do:

• Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights
• Train, validate and deploy machine learning pipelines
• Test, troubleshoot, and enhance customer software applications with and on behalf of customers
• Identify application performance bottlenecks and implement optimizations
• Write application specifications, tutorials and documentation

Qualifications You Must Have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an Advanced Degree in a related field or in absence of a degree, 6 years of relevant experience
• Active and transferable U.S. government issued TS/SCI Poly security clearance is required prior to start date
• U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
• Experience in data science methods, including statistical analysis, machine learning, and data visualization.
• Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies.
• Experience making small-scale system and process improvements to enhance functionality and efficiency.

Qualifications We Prefer:

• Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning) with a strong mathematical foundation in linear algebra, calculus, probability, and statistics.
• Experience in time-series data analysis, including cleansing and normalization, and experience with scalable Machine Learning (MapReduce, streaming).
• Software development expertise in Python and JavaScript, with experience using Git or other version control systems.
• Ability to drive projects independently and collaboratively, demonstrating a strong work ethic and commitment to organizational goals.
• Verbal and written communication skills

What We Offer:

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student Loan Repayment Program
• Life insurance and disability coverage
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
• Birth, adoption, parental leave benefits
• Ovia Health, fertility, and family planning
• Adoption Assistance
• Autism Benefit
• Employee Assistance Plan, including up to 10 free counseling sessions
• Healthy You Incentives, wellness rewards program
• Doctor on Demand, virtual doctor visits
• Bright Horizons, child and elder care services
• Teladoc Medical Experts, second opinion program
• And more!

Learn More & 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.

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.

The salary range for this role is 72,000 USD - 144,000 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.

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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