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.
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 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 [email protected] 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:
$92,986.00 - $158,076.00
Nationwide Remote Office (US99)
Top Skills
What We Do
ICF is a global advisory and technology services company with approximately 9,000 employees in industries across the public and private sectors. For over 50 years, we’ve been helping clients take on some of the world’s most complex challenges to produce exceptional results. Our work is the catalyst to help shape the future for all.
Beyond our purpose-driven work, we invest in our employees and their experience with us. We have numerous options for healthcare and many additional benefits, including immediate access to 401k retirement matching and pet insurance. Our Employee Community Networks help members find support, belonging, and growth by enhancing internal networks and professional development. We offer paid volunteer time and match your donations. As learning is a never-ending journey, we offer tuition reimbursement, mentorship programs, communities of practice to contribute to and grow from, and memberships to LinkedIn Learning and Coursera. We aim to consider every aspect of how to invest in people so they can belong, grow, and thrive with us.
Why Work With Us
At ICF, we are a purpose-driven company with a strong culture and underlying values that prize diversity, opportunity, equality, and respect. We are not all the same. And that has always been our greatest strength. We are at our best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do th
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