Data Scientist - Expert level

Data Scientist

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. To keep breaking barriers and redefining what's possible, we're looking for candidates with the following exceptional technical capabilities:

Location: McLean, VA

Security Clearance: Top Secret/SCI Polygraph

Salary: $190,000 - $210,000

Job 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

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

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