Data Scientist

Orbis Operations
Sterling, VA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Data Cleansing Data Security Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Google Cloud
+5 more
Pytorch Large Language Models Information Technology GPT Software Library

Job description

  • Design, build, and implement Large Language Models (LLMs) to solve complex problems in government settings, ensuring alignment with mission objectives.
  • Collaborate with cross-functional teams, including data engineers, software developers, and government stakeholders, to understand requirements and develop tailored LLM solutions.
  • Perform data preprocessing, cleaning, and transformation to support LLM training, ensuring data quality and relevance to specific government applications.
  • Conduct model fine-tuning, optimization, and validation to ensure high performance, accuracy, and efficiency in real-world scenarios.
  • Stay up to date with the latest advancements in AI, machine learning, and natural language processing technologies, incorporating them into current projects where applicable.
  • Present findings, model performance, and actionable insights to technical and non-technical government stakeholders.
  • Support the deployment and monitoring of LLMs in production environments, troubleshooting and iterating models as necessary.
  • Mentor junior data scientists and provide guidance on best practices in machine learning, natural language processing, and AI ethics.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. PhD preferred.
  • 5+ years of experience as a Data Scientist, with specific expertise in training and deploying Large Language Models (LLMs)., * Active Security Clearance TS/SCI w Poly
  • Experience working with government agencies or within the public sector, understanding unique challenges and compliance requirements (e.g., data security, privacy, etc.).
  • Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) with demonstrated experience in developing LLMs.
  • Strong knowledge of natural language processing (NLP) techniques, including transformer architectures such as GPT, BERT, or similar.
  • Experience in handling large datasets and optimizing models for performance and scalability.
  • Strong problem-solving skills, with the ability to translate mission requirements into AI-driven solutions.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical audiences.

Desired Skills & Abilities

  • Experience working on government projects related to national security, defense, or intelligence.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools for scaling machine learning models in production environments.
  • Knowledge of AI ethics, responsible AI practices, and explainable AI methodologies.
  • Current or previous Top Secret/SCI clearance is highly desirable.

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer.
  • Routine video conference and/or in-person meetings.
  • Ability to attend planned meetings within the Washington Metro Area region.

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