Data Scientist (Remote)

Remote in Reston, VA, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
USD $89,649.00 - 152,404.00 per year
Fitment

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Job Details

Skills

  • Innovation
  • Statistics
  • Statistical Models
  • Quality Assurance
  • Analytical Skill
  • Data Analysis
  • Database
  • Computer Science
  • Modeling
  • Quantitative Analysis
  • Python
  • Cloud Computing
  • Vertex
  • Natural Language Processing
  • Machine Learning (ML)
  • Teamwork
  • Security Clearance
  • Generative Artificial Intelligence (AI)
  • Prompt Engineering
  • Deep Learning
  • Data Warehouse
  • Data Modeling
  • Critical Thinking
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration
  • Artificial Intelligence

Summary

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.

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.
  • 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

Basic Qualifications:
  • 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 () is required due to federal contract requirements

Preferred Qualifications:
  • 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.

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. 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 policy.

We will consider for employment qualified applicants with arrest and conviction records.

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

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

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:
$89,649.00 - $152,404.00

Nationwide Remote Office (US99)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10106050
  • Position Id: 789ec0cbb59ae5c19b0246c8a5405d12
  • Posted 12 hours ago
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