Senior Data Scientist / Machine Learning Engineer with Security Clearance
Waypoint Human Capital Tysons
Waypoint Human Capital Senior Data Scientist / Machine Learning Engineer
- Tysons, VA Position Title: Senior Data Scientist / Machine Learning Engineer Position Type: Full-Time, On-Site Position Location: Tysons, VA Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team.
The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making.
They will contribute to new analytics capabilities and assist customers in building their own applications.This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills.
An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
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.
- Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
- 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 5–10 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 Machine Learning (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 skills.
- Passion for developing team-oriented solutions to complex engineering problems.
- Thrive in an autonomous, empowering, and exciting environment.
- Ability to collaborate across multiple functional teams to improve scalability.
- Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
- Ability to work on multiple concurrent projects.
- Strong self-motivation and the ability to work with minimal supervision.
- Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
- Ability to work in an Agile environment.
- Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
- Experience with deep learning.
- Experience with natural language processing (NLP).
- Experience with computer vision.
- Experience with reinforcement learning.
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