Data Scientist - SME (22759)

BE / RenXTech • McLean, VA

2d

About The Position

RenXTech is seeking a Data Scientist to analyze large amounts of data (raw, text, sponsor etc.) to provide business insight. RenXTech, a wholly owned subsidiary of Buchanan & Edwards, is an Equal Opportunity Employer. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants. BE, and its wholly owned subsidiary RenXTech, are trusted partners to the national security community, delivering future-forward solutions and cutting-edge support across cyber, technical, analytical, intelligence, and mission operations. Headquartered in McLean, Virginia, we combine deep mission understanding with innovative technologies to help clients meet their most vital challenges. We are committed to providing equal employment opportunities in accordance with all applicable federal anti-discrimination laws. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the Company's personnel representative if you need assistance completing any forms or to otherwise participate in the application process. Please provide complete information. An incomplete application may affect your consideration for employment.

Requirements

• Must be a U.S. Citizen
• Must have an Active TS/SCI clearance with Polygraph
• Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance
• Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub
• Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models
• Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks
• Demonstrated academic or professional experience communicating methodological choices and model results
• Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins
• Demonstrated experience leveraging GPUs for accelerated computing
• Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases
• Demonstrated experience with cloud computing development and architecture
• Demonstrated experience with front-end web development frameworks such as Flask
• Demonstrated experience developing applications for semantic search
• Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases
• Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards

Responsibilities

• Develop practical approaches for measuring performance
• Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership
• Conduct advanced statistical analysis on personnel, intelligence, and performance metrics
• Assist in selection or development of appropriate methodology to conduct research
• Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed