200+ applicants

Company

Original Job Post

Kavaliro · 5 days ago

Data Scientist

Reston, VA

Full-time

Onsite

Entry, Mid Level

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B2BConsulting

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Responsibilities

Demonstrate experience in Python, Javascript, and R.

Employ machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.

Utilize statistical inference, build and understand predictive models using machine learning methods.

Work with large-scale text analytics.

Perform research or development with natural language processing and Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.

Develop and deploy testing and verification methodologies to evaluate algorithm performance.

Deploy machine learning models on multimedia data including text, audio, video, hardware, and peripherals.

Have experience with Linux System Administration and associated scripting languages (Bash).

Work with Android configuration, software development, and interfacing.

Experience in embedded systems (Raspberry Pi).

Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or custom methods.

Qualification

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PythonJavaScriptMachine LearningDeep LearningPandasScikitTensorflowPytorchStatistical InferencePredictive ModelsText AnalyticsTS/SCI Security ClearanceFull Scope PolygraphNatural Language ProcessingConvolutional Neural NetworksLarge Language ModelsAlgorithm Performance EvaluationMachine Learning ModelsMultimedia DataLinux System AdministrationScripting LanguagesAndroid ConfigurationSoftware DevelopmentEmbedded SystemsRaspberry PiAlgorithm OptimizationMemory EfficiencyComputational EfficiencyQuantizingTrimming Layers

Required

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.

Candidates must have an active TS/SCI security clearance with a Full Scope Polygraph.

Preferred

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).

Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods.