Data Scientist/Machine Learning Engineer (req-316)

Posted 3 Days Ago
Tyson's Corner, VA, USA
In-Office
120K-150K Annually
Mid level
Fintech
The Role
Researches, designs, implements, and deploys machine learning algorithms for enterprise applications and federal customers. Collaborates with data scientists, software engineers, and subject matter experts to develop analytics capabilities, support application development, and deliver scalable solutions. Requires strong Python programming, applied machine learning, mathematical expertise, communication skills, and the ability to manage concurrent projects independently and collaboratively. Cloud, deep learning, NLP, computer vision, and reinforcement learning experience are desirable.
Summary Generated by Built In

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. 

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
  • 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.
Desired Skills
  • 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.

Benefits

CATHEXIS offers competitive compensation packages to all eligible employees. Our goal is to provide a compensation package that reflects the value you bring to our team, is competitive with national average market rates, and promotes your financial security and personal well-being. The annual salary range for this role is $120,000- $150,000. Please note that the salary information provided is a general guideline. CATHEXIS considers various factors in its final offer, including location, qualifications, experience, and skills. 

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

CATHEXIS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability EEO IS THE LAW. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the Recruiting Department [email protected].

Skills Required

  • Active Secret or higher security clearance
  • Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or an equivalent field
  • Three to five years of relevant work experience
  • Excellent programming skills in Python
  • Applied machine learning experience, including regression, classification, supervised learning, and unsupervised learning
  • Strong mathematical background in linear algebra, calculus, probability, and statistics
  • Experience with scalable machine learning, including MapReduce and streaming
  • Ability to drive projects and work independently and collaboratively
  • Excellent verbal and written communication skills
  • Ability to communicate technical concepts to technical and non-technical audiences
  • Ability to manage multiple concurrent projects
  • Strong self-motivation and ability to work with minimal supervision
  • Ability to work in an agile environment
  • Master’s or PhD in Computer Science, Electrical Engineering, Statistics, or an equivalent field
  • Hands-on experience deploying and operating applications with IaaS and PaaS on AWS, Azure, or Google Cloud
  • Proficiency with modern large language model tools
  • Experience with deep learning, natural language processing, computer vision, or reinforcement learning
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Houston, TX
102 Employees
Year Founded: 2006

What We Do

Founded in 2006, CATHEXIS is a trusted mid-tier government contractor advancing the missions of U.S. federal agencies through innovative consulting and technology solutions. With nearly two decades of proven success, we combine expert knowledge with data-driven insights to deliver impactful, agile solutions that enhance federal mission outcomes. Our depth of expertise spans audit, risk, and integrity; program and project management; data and analytics, strategic communications; research, policy, and decision support; strategy and optimization; and training and workforce development. At CATHEXIS, we take a people-first approach in everything we do and developed a culture on collaboration, inclusivity, and continuous growth. From our work with government agencies to the communities we serve, we support initiatives that create healthier, more equitable opportunities and make a lasting, positive impact.

Similar Jobs

In-Office
Arlington, VA, USA
121228 Employees
In-Office
Arlington, VA, USA
121228 Employees
Remote or Hybrid
2 Locations
175633 Employees
167K-280K Annually

BAE Systems, Inc. Logo BAE Systems, Inc.

Cyber Operations Lead

Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Hybrid
Sterling, VA, USA
40000 Employees
150K-254K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account