Data Scientist (Remote)
ICF
full-remotemidpermanentdata Reston, VA 141 days ago via LinkedIn
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PythonMachine LearningDeep LearningNLPLLMsGenAIAWS BedrockVertex AIData PipelinesPrompt Engineering
About the role
Role: Data Scientist (Remote)
ICF is seeking a Data Scientist to support work across NIH. The role focuses on building AI-driven data solutions, developing statistical and predictive models, and communicating results to stakeholders.
Responsibilities
- Conceptualize and develop custom AI-driven data pipelines to address client problems, improve efficiency, and maintain quality standards.
- Design and conduct statistical analyses; visualize outputs from statistical models.
- Present, interpret, and validate predictive model outputs; perform QA on model code and outputs.
- Develop solutions using both generative and non-generative AI models.
- Identify key questions in large datasets and translate them into analytical tasks.
- Build quantitative models and communicate findings to stakeholders.
- Create and execute database queries to support preparing and formatting modeling inputs.
Requirements (Basic Qualifications)
- Bachelor’s degree in a technical field (Computer Science, Engineering, or related).
- 3+ years of experience with modeling and quantitative analysis using standard statistical software.
- Highly proficient in Python.
- Experience with GenAI and LLM tools/frameworks.
- 1+ year experience with a major public cloud service (preferred: AWS Bedrock, SageMaker/Fundry, or Vertex AI).
- 1+ year experience with NLP and machine learning/deep learning principles and practices.
- Strong communication and teamwork skills.
- Ability to obtain and maintain a public trust clearance; U.S. citizenship or lawful permanent residency required.
- Ability to work standard Eastern Time.
Preferred Qualifications
- Experience incorporating generative AI into data transformation pipelines.
- Prompt engineering experience (design, test, iterate prompts to improve quality and reduce hallucinations).
- Understanding of deep learning methodologies.
- Experience with data warehouse design/development and data modeling (relational and dimensional).
- Strong critical thinking, problem-solving, and initiative.
- Excellent written and oral communication.
- Ability to prioritize and execute under pressure in a fast-paced environment.
About ICF
ICF is a global advisory and technology services provider. It helps clients solve complex challenges by combining domain expertise with cutting-edge technology across public-sector and federal workstreams, including initiatives involving the NIH.
Scraped 5/12/2026