Data Scientist/Machine Learning Engineer (req-316)
- Compensation
- Not disclosed
- Location
- Tysons, Virginia, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- An active Secret or above clearance is required.
- Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
- Minimum 3-5 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 have
- 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.
- Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
- Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
Full description
Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.
You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around leading with integrity, owning the outcome, growing together, and moving with purpose in everything we do for our employees, customers, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results.
We are looking for a dynamic Data Scientist/ML Engineer to join our team. The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.
ResponsibilitiesThe responsibilities include, but are not limited to:
- 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.
Requirements
- An active Secret or above clearance is required.
- Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
- Minimum 3-5 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.