Data Scientist with ML

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
  
  

Location:

• Reston, Virginia
• This position is onsite and there is no remote availability.
  
  

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.