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 Zone 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  

Required Qualifications:

• Bachelor’s degree in a technical field: Computer Science, Engineering, or related discipline 
• 5+ years of experience with modeling and quantitative analysis using standard statistical software. 
• 3+ years’ experience working with any major public cloud service (experience preferred with SageMaker, AzureML, VertexAI or similar). 
• 3+ years’ experience with NLP, anomaly detection, graph theory, deep learning principles and practices. 
• 2+ years’ experience in SQL and DB programming. 
• Highly proficient in Python. 
• Experience with GenAI and LLM tools and frameworks. 
• Strong communication and teamwork abilities.
• Ability to obtain and maintain a Public Trust 

Preferred Qualifications: 

• 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. 

Working at ICF

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process.

Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: