Data Scientist with ML
Kavalirio
Job Summary
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. This onsite role in Reston, VA, requires expertise in Python, machine learning, deep learning frameworks like PyTorch and TensorFlow, and large-scale text analytics. The successful candidate will work with statistical inference and predictive models, potentially deploying CNNs and LLMs. A TS/SCI with Full Scope Polygraph clearance and US citizenship are mandatory.
Must Have
- Experience with Python, PyTorch, Flask, and REST APIs.
- Statistics background and basic understanding of NLP.
- Demonstrated experience in Python, Javascript, and R.
- Experience with machine learning and deep learning modules like Pandas, Scikit, Tensorflow, Pytorch.
- Experience with statistical inference and building predictive models using machine learning.
- Demonstrated experience with large-scale text analytics.
- Active TS/SCI with Full Scope Polygraph clearance.
- Permanent U.S. citizenship.
Good to Have
- Performance R&D with natural language processing.
- Deploying CNN, LLMs, or foundational models.
- Deploying ML models on multimedia data.
- Experience with Linux System Administration or bash.
- Experience with Android Configuration.
- Experience in embedded systems (Raspberry Pi).
- Developing and deploying testing and verification methodologies for algorithm performance.
- Evaluating, integrating, and leveraging internally-hosted data science tools.
- Customizing research-grade algorithms for memory and computational efficiency.
Job Description
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support.
- MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi).
Required Skills and Demonstrated Experience
- Demonstrated experience in Python, Javascript, and R.
- Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
- Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods.
- Demonstrated experience with large-scale text analytics.
Desired Skills
- Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.
- Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization.
- Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
- Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
- Demonstrated experience with Android configuration, software development, and interfacing.
- Demonstrated experience in embedded systems (Raspberry Pi)
- Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
- Reports results and provide documentation and guidance on working with the research-grade algorithms.
- Evaluates, Integrates and leverage internally-hosted data science tools.
- Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods
Clearance:
- Active TS/SCI with Full Scope Polygraph
- Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.