Data Scientist

ICF International Inc.
Virginia, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$131,256.0 - $223,134.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence Data Analysis Big Data Network Analysis CompTIA Security+ Computational Linguistics Data Files Data Mining Database Queries R (Programming Language) Graph Theory
+12 more
Information Retrieval Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems Standard Sql Text Mining Deep Learning Question Answering Information Technology Databricks Programming Languages

Job description

As the Senior Data Scientist, this role will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms. The ideal candidate is strong mathematically; can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from large data sets. You are focused on results, a self-starter, and have demonstrated success using analytics to drive an understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!

This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area (DMV).

What You Will Be Doing:

  • Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithms
  • Analyze large data sets to identify actionable insights with mathematical statistical rigor
  • Rigorously critique and correct intermediate results to improve the algorithmic outcomes
  • Design and deploy deep learning algorithms and predictive models
  • Develop custom data models and algorithms to apply to data sets
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Interpret and communicate results to non-technical customers

Requirements

  • Active security clearance required as part of client contract requirement
  • ship required as part of client contract requirements
  • Bachelor’s degree with a minimum of 12 years or Master’s degree with 10 years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
  • Position requires a minimum of 10 years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering
  • Strong experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools

Preferred Skills/Experience:

  • Experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
  • Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
  • Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverables
  • Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis
  • Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
  • Experience with statistical data analysis, experimental design, and hypotheses validation
  • Experience with database querying like SQL
  • Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
  • Practical experience with the Databricks Intelligence Platform
  • CompTIA Security+ or higher certification level preferred

ICFNS

About the company

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.

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