Data Scientist

Labor Category:
Data Scientist

Position Title:

Data Scientist
Position Level: Level 2 – Expert
Salary:
Up to $ per year
Core

Hours:

9am to 4pm

Location:

McLean VA
Description
Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.
The Candidate shall work closely with the Customer’s data scientists and technical team to implement requirements; however, the Customer’s GTM will manage the priorities.

• The Candidate shall conduct sophisticated analysis using deployed tools and natural language processing.
• The Candidate shall analyze large amounts of raw data, including text data, to provide business insights.
• The Candidate shall preprocess or clean structured and unstructured Customer data, including text data.
• The Candidate shall design and implement advanced ETL code and table configurations for complex data sets.
• The Candidate shall use Structured Query Language (SQL) in Customer’s Oracle database to develop and organize relevant information with supporting analytics.
• The Candidate shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Customer’s templates.
• The Candidate shall stay current with the Customer’s enterprise metadata collection tools.
• The Candidate shall implement the Customer’s existing coordination process.
• The Candidate shall provide technical education to staff on an ad-hoc basis.
• The Candidate shall provide subject matter expertise in NLP to support Customer’s initiatives

Labor Category:
Data Scientist

Position Title:

Data Scientist
Position Level: Level 2 – Expert
Salary:
Up to $ per year
Core

Hours:

9am to 4pm

Location:

McLean VA

• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)
• 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 Hugging Face 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. 15. 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…