Overview
On Site
USD 69.00 - 70.00 per hour
Full Time
Skills
Computer Science
NoSQL
Database
Apache Accumulo
Docker
Kubernetes
Security Clearance
Data Manipulation
Pandas
NumPy
Natural Language Processing
scikit-learn
PyTorch
SPA
NLTK
Fluency
Data Extraction
Translation
Data Analysis
JSON
XML
DoD
Jupyter
Python
Data Science
Machine Learning Operations (ML Ops)
Amazon SageMaker
Dashboard
Machine Learning (ML)
Large Language Models (LLMs)
Transformer
Writing
Java
API
Network Security
RESTful
Agile
Management
Job Details
Data scientist needs 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)
Data scientist requires:
Experience with NOSQL databases such as Accumulo a plus
Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.
Security Clearance-Current active TS, SCI eligible
Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)
Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
Familiarity with various log formats such as JSON, XML, and others.
Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.
Willingness to do a programming challenge during the interview process.
Experience with Jupyter Notebooks, Python Data Science Libraries.
Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
Experience with Large Language Models (LLMs)/transformer models
Experience with writing, updating Java API's
Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
Experience with restful API's
Familiarity with Agile Project team and task management environment.
Experience with Zoom/Team/Meet style team meetings.
Data scientist requires:
Experience with NOSQL databases such as Accumulo a plus
Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.
Security Clearance-Current active TS, SCI eligible
Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)
Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
Familiarity with various log formats such as JSON, XML, and others.
Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.
Willingness to do a programming challenge during the interview process.
Experience with Jupyter Notebooks, Python Data Science Libraries.
Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
Experience with Large Language Models (LLMs)/transformer models
Experience with writing, updating Java API's
Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
Experience with restful API's
Familiarity with Agile Project team and task management environment.
Experience with Zoom/Team/Meet style team meetings.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.