Data Science Engineer II (Onsite)

Collins Aerospace; Sterling (VA); On-site; USD 72,000 - 144,000; Full time

Job summary

Join a leading aerospace and defense company as a Data Science Engineer II. In this onsite role, you will develop data-driven solutions using AI/ML, collaborate with experts, and optimize software applications. Competitive benefits and a salary range of $72,000 - $144,000 based on experience.

Benefits

Health insurance

Retirement plans

Tuition reimbursement

Wellness programs

Qualifications

• Minimum 2 years experience in data science or 6 years without a degree.
• Active TS/SCI Poly security clearance required.
• Experience in time-series data analysis preferred.

Responsibilities

• Collaborate with data experts to utilize data effectively.
• Train and deploy machine learning models.
• Optimize application performance.

Skills

Statistical analysis

Machine learning

Data visualization

Communication skills

Education

Degree in STEM

Tools

Python

JavaScript

Job description

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Location:

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

Date Posted:

2025-05-09

Country:

United States of America

Position Role Type:

Onsite

Security Clearance:

TS/SCI with Poly - Current

Company Overview:

Raytheon Company Managed by Collins Aerospace, a leader in advanced aerospace and defense solutions.

Role Summary:

Seeking a motivated Data Science Engineer II with expertise in AI/ML and analytics to develop data-driven solutions, involving machine learning, statistical analysis, and large dataset insights.

Responsibilities include:

1. Collaborating with data and subject matter experts to interpret and utilize data effectively.
2. Training, validating, and deploying machine learning models.
3. Testing and troubleshooting customer software applications.
4. Optimizing application performance.
5. Creating documentation and tutorials.

Minimum Qualifications:

• Experience with statistical analysis, machine learning, and data visualization.
• Ability to resolve operational and data issues.
• Degree in STEM or equivalent experience (minimum 2 years or 6 years without degree).
• Active TS/SCI Poly security clearance and U.S. citizenship.

Preferred Qualifications:

• Applied machine learning experience with a solid mathematical foundation.
• Experience in time-series data analysis and scalable ML systems.
• Proficiency in Python, JavaScript, and version control.
• Strong communication skills.

What We Offer:

Competitive benefits including health insurance, retirement plans, tuition reimbursement, and wellness programs.

Application Details:

This is an Onsite role with a salary range of $72,000 - $144,000 USD, depending on experience and qualifications.

Additional Information:

Join our Mission Systems team to work on impactful projects in aerospace and defense. RTX is an Equal Opportunity Employer.