Data Scientist

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust

What You Will Do: Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security Segment, where the individual will collect and analyze data to identify trends, develop visualizations in support of organizational and mission goals, and support decision-making for large-scale programs within the Department of Homeland Security (DHS).

Responsibilities include, but are not limited to: Design and develop data visualization and dashboard solutions to provide required analytics insights (Power BI) Collecting, cleaning, and analyzing data using a variety of methods and tools, such as R Identifying and creating additional data visualization capabilities, as needed Ensuring data governance and quality assurance standards are met Conducting data validation and remediation using tools such as R and Excel Analyzing current process and identifying potential improvements Working with team members to summarize and report on business process improvements to include gaps in current processes and initiatives to improve processes for an organization Organizing and leading client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following-up on action items Summarizing and presenting information and reports to the team and make recommendations (both oral and written)

What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Bachelors Degree At least THREE (3) years of experience in consulting, data analytics, or project management What Would Be Nice To Have: Active DHS Public Trust Law Enforcement experience Data visualization tools such as Power BI Good critical thinking skills, writing skills, and communication skills Experience in business analysis Experience connecting visualization to various types of data sources Experience developing training materials Experience with process improvement Database optimization Monitoring program operations to ensure compliance with federal regulations Knowledge of ETL/ELT processes and tools for data integration, such as: Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics Proficiency in querying data using SQL and experience optimizing SQL query performance for large datasets