U.S. Citizenship and ability to pass a public trust background investigation Job title: Data Scientist Duration: 1 Year base (Extendable) Location: Hybrid -Washington DC 20540 Work Hours: 8:30 AM to 5:30 PM ET Monday through Friday (excluding federal holidays) Clearance Requirement: U.S. Citizenship and ability to pass a public trust background investigation Position Overview: A skilled and analytical Data Scientist is sought to support a federal legislative research initiative focused on advancing data-driven decision-making. The ideal candidate will work with structured and unstructured data to build robust models, develop predictive tools, and support data analysis at scale. This role involves close collaboration with software engineers, policy researchers, and data visualization specialists in a hybrid work environment. Key Responsibilities: • Develop and apply algorithms and data models to support analytical toolsets. • Perform advanced analytics on large, complex cross-sectional and time-series datasets. • Conduct big data analysis using modern statistical and machine learning techniques. • Build and execute predictive analytics solutions tailored to research and policy applications. • Write well-documented code for scalable analysis in languages such as R, Python, or Stata. • Prepare clear, actionable findings and support integration into dashboards or reports. • Collaborate with project stakeholders to define data requirements and validate outputs. • Participate in tool testing, model validation, and performance tuning activities. • Support the enhancement of existing data tools and contribute to quality assurance efforts. Required Qualifications: • Bachelor’s or advanced degree in Data Science, Applied Mathematics, Computer Science, Statistics, or related quantitative field. • Proficiency in statistical and analytical software such as SAS, Stata, R, or Python. • Experience working with large cross-sectional and longitudinal time series data. • Strong knowledge of data conditioning techniques including cleansing, normalization, and transformation. • Demonstrated experience with big data analysis and working in high-volume data environments. • Experience developing data-driven models, algorithms, and software tools. • Familiarity with predictive modeling techniques, regression, classification, and clustering. • Strong programming skills and comfort working with cloud-based or local computing resources. • Excellent problem-solving, documentation, and communication skills. Preferred Qualifications: • Experience supporting government or research-oriented data science projects • Familiarity with version control tools (e.g., Git), Jupyter notebooks, and data visualization tools (e.g., Tableau) • Knowledge of data governance principles and working with Controlled Unclassified Information (CUI)