FWI is seeking a Data Scientist who will conduct advanced data analysis and develop quantitative models to support the Congressional Research Service (CRS) analytical requirements, including the application of artificial intelligence, machine learning, and natural language processing methods. 

FWI is expanding rapidly and has been recognized as a 2024 Top Workplace by Washington Post, offering excellent growth opportunities in a collaborative environment.

**Position is contingent upon contract award**

Work Schedule and Location:

Hybrid: This full-time hybrid position will work Monday through Friday, 8am to 5pm with occasional on-site requirements at the James Madison Building of the Library of Congress in Washington, DC.

• Analyze large cross-sectional and time series data
• Conduct big data analysis
• Perform data conditioning
• Develop algorithms, software and data models
• Build and execute predictive analytics
• Apply advanced analytical knowledge to solve complex data problems

Required: 

• Bachelor's degree in data science, applied mathematics, computer science or related fields.
• Knowledge of relevant quantitative analysis software (SAS, Stata, R, Python)
• Experience with use of large cross-sectional and time series data
• Programming and advanced computing skills
• Experience conducting big data analysis
• Knowledge of data conditioning
• Developing algorithms, software and data models
• Building and executing predictive analytics