Data Scientist/Machine Learning Engineer

CATHEXIS; Tysons (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Performance bonuses

Medical, Dental, and Vision insurance

401(k) plan (Traditional and Roth)

Life Insurance (Basic, Voluntary & AD&

Paid Time Off and 11 Federal Holidays

Parental Leave

Commute benefits

Short Term & Long Term Disability

Training & Development

Wellness Program

Community Outreach Initiatives

Job summary

CATHEXIS is seeking a Data Scientist/Machine Learning Engineer to research, design, implement, and deploy ML algorithms for enterprise applications. The role supports federal customers in building their own tools for digital transformation and involves onsite work in Tysons, VA.

The candidate should have an active Secret clearance, a strong Python background, and 3+ years of relevant experience. MS/PhD preferred, with knowledge of ML and cloud platforms such as AWS/Azure/Google Cloud.

Qualifications

• Requires active Secret clearance or above.
• Bachelor’s degree in CS/EE/Stats or equivalent.
• MS/PhD in related field preferred.
• 3+ years of relevant work experience preferred.
• Strong Python programming skills.
• Applied ML across regression and classification (supervised/unsupervised).
• Strong foundation in linear algebra, calculus, probability, statistics.
• Experience with scalable ML (MapReduce, streaming).
• Ability to work independently and in a team with execution focus.
• Excellent verbal and written communication.

Responsibilities

• Research, design, implement, and deploy machine learning algorithms for enterprise applications.
• Assist and enable federal customers to build their own applications.
• Contribute to design and implementation of new features.

Skills

Python

Machine Learning

Regression & Classification

Statistical Knowledge

Big Data / Spark

Independent & Team Work

Education

Bachelor’s degree in CS/EE/Stats

MS or PhD preferred

Tools

MapReduce

Cloud Platforms (AWS/Azure/Google)

Job description

CATHEXIS is hiring a Data Scientist/Machine Learning Engineer to research, design, implement, and deploy machine learning algorithms for enterprise applications while supporting federal customers in building their own tools for digital transformation. Based in Tysons, VA (onsite), this role blends hands-on ML work with customer enablement in an environment built for autonomy, teamwork, and impact.

What you’ll do

• Research, design, implement, and deploy machine learning algorithms for enterprise applications.
• Assist and enable federal customers to build their own applications.
• Contribute to the design and implementation of new features.

What you’ll bring

• Active Secret clearance or above is required.
• Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or an equivalent field.
• MS or PhD in a related field is preferred.
• 3+ years of relevant work experience preferred (3 to 5 years desired).
• Strong Python programming skills.
• Applied Machine Learning experience across regression and classification, including supervised and unsupervised learning.
• Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
• Experience with scalable ML such as MapReduce and streaming.
• Ability to drive work independently and in a team, with an execution-oriented, quality-focused mindset.
• Excellent verbal and written communication, including the ability to explain technical concepts to both technical and non-technical audiences.
• Ability to work on multiple concurrent projects in an agile environment.

Tools you’ll work with

Python, MapReduce, and major cloud platforms including AWS, Microsoft Azure, and Google Cloud Services.

Benefits

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

Desired experience

• Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers (AWS, Azure, or Google Cloud Services).
• Experience leveraging modern LLM tools to accelerate development workflows and improve code quality.
• Experience with deep learning, including natural language processing, computer vision, or reinforcement learning.