Data Scientist

BT-377 – Data Scientist
Skill Level- Expert
Location- McLean
Required Skills
Demonstrates 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.
Demonstrates professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
Demonstrates professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
Demonstrates professional or academic experience with the HuggingFace Transformers library and hub.
Demonstrates experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
Demonstrates academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
Demonstrates academic or professional experience communicating methodological choices and model results.
Demonstrates professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
Demonstrates professional or academic experience with version control systems such as Github and Jenkins.
Demonstrates 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.
Database management experience: Writing and optimizing queries across relational and non-relational databases.
Demonstrates experience using testing libraries like JUnit and Mockito to ensure application stability.
Demonstrates experience with Core Java: Object-oriented programming (OOP) concepts, multithreading, and memory management (JVM).
Demonstrates experience with Spring and Spring Data JPA.
Demonstrates experience with tools and build systems such as: Eclipse, Maven, and Gradle.
Demonstrates experience with Oracle, Apache Tomcat, AWS Cloud Framework and Linux.
Desired Skills
Demonstrates experience writing Python scripts that pull data from web-based APIs and relational databases.
Demonstrates experience with cloud computing development and architecture
Demonstrates experience with front-end web development frameworks such as Flask.
Demonstrates experience developing applications for semantic search.
Demonstrates experience tuning LLMs on custom data sets and applying results to specific use cases.
Demonstrates professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Work arrangement
No