SCI with Poly required

CATHEXIS•Tysons, VA

4d•$100,000 - $220,000

About The Position

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Their core capabilities include top-tier program and project management, data analytics, and audit services, supported by an integrated approach to operational excellence. The company values integrity, ownership, growth, and purpose, aiming to create a supportive environment for employees, customers, partners, and communities. They believe in empathetic leadership, high ethical standards, teamwork, and empowering employees to create innovative results. The Data Scientist/ML Engineer will join the team to work directly with data scientists, software engineers, and subject matter experts. This role involves defining new analytics capabilities to provide federal customers with necessary information for decision-making and digital transformation.

Requirements

Top Secret clearance with CI or FS Poly or above.
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
Minimum 2 years relevant work experience preferred.
Excellent programming skills in Python.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Experience with scalable ML (MapReduce, streaming).
Ability to drive a project and work both independently and in a team.
Smart, motivated, can-do attitude, and seeks to make a difference.
Excellent verbal and written communication.
Real passion for developing team-oriented solutions to complex engineering problems.
Thrive in an autonomous, empowering and exciting environment.
Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
Convey highly technical concepts and information in written form to technical and non-technical audiences.
The ability to work on multiple concurrent projects is essential.
Strong self -motivation and the ability to work with minimal supervision.
Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
Ability to work in an agile environment.

Nice To Haves

MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
Experience with deep learning, natural language processing, computer vision, or reinforcement learning.

Responsibilities

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.