Data Scientist

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.

We are proactively building a pipeline of qualified candidates for future opportunities that may arise. If your background aligns with our anticipated needs, a member of our Talent Acquisition team may reach out should a role become available or to proactively screen you for the role.

Responsibilities

The 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

• 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 2 years relevant work experience preferred.

• Excellent programming skills in Python.

• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).