Data Scientist (Remote)

ICFReston, VA
4dRemote

About The Position

ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Scientist to support our work across NIH. We look for someone who loves to learn and is passionate about their work. The ideal candidate will have a strong foundation in machine learning principles, experience with relevant tools and frameworks, and a passion for continuous learning and innovation. The ability to work standard Eastern Time is expected.

Requirements

  • Bachelor’s degree in a technical field: Computer Science, Engineering, or related discipline
  • 3 or more years of experience with modeling and quantitative analysis using standard statistical software.
  • Highly proficient in Python.
  • Experience with GenAI and LLM tools and frameworks.
  • 1 or more years’ experience working with any major public cloud service (experience preferred with Bedrock, Foundry, Vertex AI or similar).
  • 1 or more years’ experience with NLP, machine learning, deep learning principles and practices.
  • Strong communication and teamwork abilities.
  • Ability to obtain and maintain a public trust clearance
  • U.S. citizenship or lawful permanent residency (Green Card holder) is required due to federal contract requirements

Nice To Haves

  • Experience with incorporating Generative AI into data transformation pipelines.
  • Demonstrated prompt engineering expertise to design, test, and iterate LLM prompts that improved answer quality and reduced hallucinations.
  • Understanding of Deep Learning methodology.
  • Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models.
  • Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative.
  • Excellent listening, written, and oral communication skills.
  • Ability to exercise independent judgement while effectively prioritizing and executing tasks while under pressure.
  • Team player with the ability to work in a fast-paced environment.

Responsibilities

  • Conceptualize and develop custom AI-driven data pipelines which address client problems, maximize efficiency, and maintain high standards of quality.
  • Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.
  • Develop solutions to a variety of client problems using both generative AI non-generative AI models.
  • Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.
  • Build quantitative models with data and communicate the results of those models to stakeholders.
  • Help conceptualize, as well as perform, data analyses to summarize trends.
  • Develop and execute database queries that in turn support developing/formatting modeling inputs
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