Data Scientist/Machine Learning Engineer

CATHEXIS supports data-driven digital transformation for enterprise applications and federal customers. In this onsite role in Tysons, VA, you will research, design, implement, and deploy machine learning solutions while partnering with federal stakeholders to build their own applications. If you value an autonomous environment that still emphasizes collaboration, this position offers a strong mix of technical depth and real-world impact.

What You’ll Do

• Research, design, implement, and deploy machine learning algorithms for enterprise applications.
• Assist and enable federal customers to develop their own applications for digital transformation.
• Contribute to the design and implementation of new features as part of ongoing product and platform work.

Core Requirements

• Active Secret clearance or above is required.
• Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or an equivalent field.
• Excellent programming skills in Python.
• Applied Machine Learning experience, including regression and classification as well as supervised and unsupervised learning.
• Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
• Experience with scalable ML techniques such as MapReduce and streaming.
• Ability to drive work on a project both independently and in a team.
• Excellent verbal and written communication, including the ability to convey technical concepts to technical and non-technical audiences.
• Experience working in an agile environment.
• Ability to handle multiple concurrent projects and work with minimal supervision.
• Team-oriented, energetic, and delivery-focused, with an interest in quality and meeting deadlines.

Preferred Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• 3–5 years of relevant work experience (preferred).
• Hands-on deployment and operations experience using IaaS and PaaS on major cloud providers, including Amazon AWS, Microsoft Azure, or Google Cloud Services.
• Experience leveraging modern LLM tools to accelerate development workflows and improve code quality.
• Background in deep learning, natural language processing, computer vision, or reinforcement learning.

Salary and Tech

USD 120,000–150,000 per year. Technologies include Python, MapReduce, AWS, Microsoft Azure, and Google Cloud Services.

Benefits

• Performance Bonuses
• Medical Insurance, Dental Insurance, Vision Insurance
• 401(k) Plan (Traditional and ROTH)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• 11 Federal Holidays
• Parental Leave
• Commute Benefits
• Short Term & Long Term Disability
• Training & Development
• Wellness Program
• Community Outreach Initiatives