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CATHEXIS · 1 month ago

Data Scientist/Machine Learning Engineer - TS/SCI with Poly required (req-185)

Tysons Corner, VA

Full-time

Onsite

Entry, Mid Level

$100K/yr - $220K/yr

2+ years exp

CATHEXIS is a company focused on enhancing the government contracting experience through skilled program management and data analytics. They are seeking a dynamic Data Scientist/ML Engineer to work on developing new analytics capabilities for federal customers, enabling their digital transformation through machine learning algorithms and application development.

Business DevelopmentCorporate TrainingManagement ConsultingRisk Management

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

PythonApplied Machine LearningMathematicsScalable MLCloud ServicesAgile EnvironmentTeam-orientedCommunication SkillsSelf-motivation

Required

Top Secret clearance with CI or FS Poly or above

Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required

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

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

Preferred

MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred

Minimum 2 years relevant work experience 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