Data Scientist

GRVTY•McLean, VA

15d•$150,000 - $250,000•Onsite

About The Position

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance to join one of our top projects in McLean, VA. The Sponsor provides data-driven business analysis to support senior organizational leaders. As such, the Data Scientist will provide support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor’s customers. The Data Scientist must also be experienced in areas of SQL and Python to be able to transform the Sponsor’s structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel. The work may be performed independently or within a team environment.

Requirements

Active TS/SCI with Polygraph Clearance (acceptable to this customer)
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

Nice To Haves

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

Working closely with the Sponsor’s data scientists and technical team to implement requirements; however, the Sponsor’s GTM will manage the priorities
Conducting sophisticated analysis using deployed tools and natural language processing
Analyzing large amounts of raw data, including text data, to provide business insights
Pre-processing and/or cleaning structured and unstructured Sponsor data, including text data
Designing and implementing advanced ETL code and table configurations for complex data sets
Using Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics
Independently, or with a team, authoring analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates
Staying current with the Sponsor’s enterprise metadata collection tools
Implementing the Sponsor’s existing coordination process
Providing technical education and subject matter expertise in NLP to support Sponsor’s initiatives to staff on an ad-hoc basis
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