Data Scientist

• This is a hybrid remote position, employees are required to work onsite once a week in Rosslyn, VA. Please include your residential city and state in your resume., * Prepare, clean, and analyze structured and unstructured data, and develop scalable models using data science and artificial intelligence methods.
• Build visualizations and analytic products that support audits, investigations, and research.
• Design and implement statistical, mathematical, and econometric solutions.
• Lead work in areas such as natural language processing, predictive analytics, machine learning model development, and model lifecycle support.
• Translate complex technical findings into clear narratives and create documentation for requirements, test plans, user guidance, and training materials.
• Support project teams by identifying data needs, advising on data quality and access, and developing effective communication with stakeholders.
• Create and maintain dashboards, datasets, summary tables, and analytic tools using relational databases, data lakes, and other data environments.
• Provide actionable intelligence through independent research, extraction, evaluation, and visualization of relevant data.
• Collaborate with external agencies and stay current on analytic tools and techniques.
• Troubleshoot existing solutions and assist in developing programming and visualization products.
• Support data security, system continuity, design reviews, and compatibility assessments.
• Apply ETL strategies, pattern recognition, and analytical tools to develop and refine existing products.
• Guide coworkers on data access, quality, storage needs, and analytic tools, and contribute to training efforts.

• Candidates must be U.S. Citizens and able to obtain a Public Trust clearance. Applicants must also have resided in the U.S. for the past five years and must not have been outside the U.S. for a combined total of six months or more within that period., * Degree in computer science, information technology, data analytics, or a related field.
• Five or more years of experience writing code in languages such as SQL, Python, R, or JavaScript.
• Three or more years of experience with machine learning, natural language processing, robotics process automation, artificial intelligence, and advanced statistical methods.
• Six months or more of experience with AWS or Azure services including Databricks, Data Factory, and Data Lake.
• Expert proficiency with data science tools, programming languages, IDEs, analytics platforms, open source solutions, commercial tools, and hardware-based capabilities.
• Strong experience creating datasets, models, dashboards, visualizations, and interactive reports across business intelligence applications.
• Knowledge of business intelligence tools such as Power BI, Power Apps, Power Automate, DAX, and data Mash up methods.
• Strong understanding of relational databases, data warehousing, data governance, and related disciplines.
• Experience with ETL strategies, pattern recognition, ODBC connections, and external data sources.
• Ability to engineer data analytic solutions from prototype through full implementation.
• Proven history applying analytical methods to business problems with measurable impact.
• Strong technical writing and documentation skills and ability to work effectively in a team.
• Understanding of the software development lifecycle including analysis, design, development, testing, debugging, and documentation.

Desired Skills

• Experience with Python, Power BI, Databricks, and similar tools.
• Experience in law enforcement or audit environments.
• Experience with Azure and cloud computing platforms.
• Experience with relational databases and SQL.
• Professional certifications in data science or data analytics.