812273 Data Scientist $270,000.00

About the Role

• Position Title: Data Scientist
• Position Level: Level 1 – Subject Matter Expert
• Salary: Up to $270,000.00 per year
• Core Hours: 9am to 4pm
• Location: McLean VA
• Clearance: Top Secret (TS/SCI) with a Polygraph

Key Responsibilities

• Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience developing models and ensembles in the AI/ML space.
• Selecting the best Python libraries for a given task.
• Choosing appropriate pre-processing actions.
• Performing analysis.
• Assessing model performance.
• Demonstrated professional or academic experience using Python or R.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Demonstrated professional or academic experience and proficiency with SQL including 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 professional experience or academic experience in testing, evaluating, or validating the performance of AI systems, with a focus on LLM-based systems.
• Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark.

Optional Requirements

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance.
• Demonstrated experience with cloud computing development and architecture.
• Demonstrated experience with front-end web development frameworks such as Flask.
• 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 experience developing applications for semantic search.
• Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with ONNX (Open Neural Net Exchange).

Experience Levels

• Developmental (0-2 years)
• Full Performance (3-5 years)
• Senior (6-10 years)
• Expert (11-15 years)
• SME (16+ years)