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About the Role

We are seeking a Data Scientist to support federal government trade, analytics, and mission transformation priorities by designing and implementing data-driven solutions that turn complex data into actionable insights. This role will support mission and operational users by applying statistical analysis, complex data mining, artificial intelligence, machine learning, predictive analytics, data modeling, and visualization techniques across large and complex data environments.

Responsibilities

Apply statistical analysis, complex data mining, artificial intelligence, machine learning, and advanced analytics techniques to support complex mission and operational questions
Design and implement data-driven solutions, including analytical models, data models, simulations, visualizations, and decision-support products
Transform raw data from multiple sources into concise, actionable insights for government stakeholders, analysts, and mission users
Develop descriptive and predictive analytics solutions to identify trends, anomalies, risks, and emerging patterns in large and complex datasets
Apply and validate data mining methods and machine learning models to support operational analysis, reporting, and data visualization
Support development of entity resolution, risk-based analysis, entity behavior over time, network analysis, cohort analysis, anomaly detection, and related analytical models
Conduct exploratory data analysis, feature engineering, statistical testing, model development, model evaluation, and documentation
Develop reports, dashboards, visualizations, and analytical summaries that communicate key findings, assumptions, limitations, and recommendations
Work with senior data scientists to evaluate stakeholder requirements, identify feasible analytical approaches, and develop model-based or data-driven solutions
Collaborate with data analysts, data engineers, data architects, application developers, UX/UI designers, and project managers to deliver end-to-end analytical capabilities
Support development of implementation roadmaps, data exploration results reports, model prototype and evaluation reports, final code-reviewed models, and final model analysis reports
Participate in Agile development activities, including sprint planning, backlog refinement, task estimation, demonstrations, and issue resolution
Maintain current knowledge of emerging tools and techniques in machine learning, statistical modeling, artificial intelligence, analytics, and data visualization
Support troubleshooting, quality reviews, model refinement, and operational testing of analytical products
Communicate analysis techniques, analytical concepts, model results, and products to audiences with varying levels of technical expertise

Requirements

U.S. Citizenship required due to federal contract requirements
Recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance required
Ability to obtain and maintain a CBP background investigation or other required government suitability determination
Candidate must reside in the U.S. and be able to support onsite work in the Washington, DC Metro area, including Ashburn, VA, as needed
Six (6) years of relevant experience in applied research directed to machine learning, data science, applied mathematics, statistics, computer science, operations research, or another closely related quantitative or mathematical discipline
Advanced degree, such as a Master’s, in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or another closely related quantitative or mathematical discipline

Skills

Applied research directed to machine learning, data science, applied mathematics, statistics, computer science, operations research, or another closely related quantitative or mathematical discipline
Statistical analysis
Complex data mining
Artificial intelligence
Machine learning
Predictive analytics
Data modeling
Visualization techniques
Analytical models
Exploratory data analysis
Building visualizations
Advanced analytics projects
Entity resolution
Risk-based analysis
Entity behavior over time
Network analysis
Cohort analysis
Anomaly detection
Feature engineering
Statistical testing
Model development
Model evaluation
Documentation
Reports
Dashboards
Analytical summaries
Python
R
SQL
Spark
Databricks
AWS
Tableau
Power BI
QuickSight
Agile
Scrum
SAFe
Strong analytical and problem-solving skills
Strong communication skills
Detail-oriented
Ability to manage multiple priorities
Collaborative and proactive
Self-motivated

Location

Washington, DC Metro area
Ashburn, VA

Work Type

Onsite
Telework may be permitted only with prior government approval

Experience Level

Six (6) years of relevant experience

Education Level

Advanced degree, such as a Master’s, in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or another closely related quantitative or mathematical discipline

Salary/Compensations

$143,756.00 - $244,385.00

Benefits

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.

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.

Equal Opportunity

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