ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Scientist / Prompt Engineer to support our work across HHS and 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. (100% Remote)
What you’ll be doing :
- 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.
- 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
Mandatory Requirements :
- Bachelor’s degree in a technical field : Computer Science, Engineering, or related discipline
- 5 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.
- 3 or more years’ experience working with any major public cloud service (experience preferred with SageMaker, AzureML, VertexAI or similar).
- 3 or more years’ experience with NLP, anomaly detection, graph theory, deep learning principles and practices.
- 2 or more years’ experience in SQL and DB programming.
- Strong communication and teamwork abilities.
Desired Requirements :
- Experience with incorporating Generative AI into data transformation pipelines.
- Experience with Deep Learning capabilities.
- Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models.
- Experience in reporting, story-telling and data visualization technologies such as Tableau, Shiny, Bokeh.
- 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.
22 days ago