Sr Data Scientist / Analyst

Infotrend•Washington, DC

About The Position

The Senior Data Scientist/Analyst extracts, manages, validates, and analyzes large datasets from federal government enterprise systems in a highly secure government data environment. The role develops and maintains SQL queries, ETL/ELT workflows, and structured datasets that support reporting, research, statistical analysis, and AI/ML and non-AI/ML modeling initiatives. The position applies advanced analytical and statistical techniques to identify trends, anomalies, and actionable insights; develops data visualizations and analytical models; and ensures data ingestion processes are accurate, complete, timely, and secure. It requires expertise in Python and/or R, SQL, and Databricks or similar platforms. The Senior Data Scientist/Analyst works with government stakeholders and technical teams to translate mission and business requirements into reliable, actionable data-driven solutions.

Requirements

  • Expertise in Python and/or R, SQL, and Databricks or similar software.
  • Ability to quickly understand complex data structures and formulate queries to extract information as needed.
  • Ability to build simple and complex analytical, statistical, AI/ML, or other models using client data to address quantitative purposes or problems posed by the client.
  • Ability to integrate large datasets and ETL workflows with Business Intelligence platforms such as Tableau, including preparing, optimizing, and exposing data for visualization, analytics, and reporting.
  • Experience developing and managing data connections between Databricks, SQL-based data sources, Python workflows, and BI tools such as Tableau, ensuring reliable, performant, and scalable data delivery for dashboards and automated reporting.
  • Ability to quickly understand the operational underpinnings of data in enterprise systems.
  • Ability to quickly understand client business requirements using methods such as interviews, document analysis, and self-directed research.
  • Analytical thinking, creativity, and ability to investigate root causes.
  • Ability to engage successfully in multiple initiatives simultaneously and prioritize appropriately.
  • Ability to gather and interpret large amounts of data and information and quickly distinguish relevant information from superfluous information using analytical and statistical techniques.
  • Excellent verbal and written communication skills and ability to interact professionally.
  • Ability to obtain and maintain a Public Trust Security Clearance.
  • U.S. Citizenship.

Responsibilities

  • Work with large customer, operational, and transactional datasets from federal government enterprise systems to develop, maintain, and enhance reports, analyses, and models.
  • Extract data from various IT systems using SQL and other programming languages.
  • Manage, review, validate, and secure data ingestion processes to ensure accurate, complete, timely, and controlled transfer of data into a highly secure government data environment.
  • Create clean, structured datasets for reports, analyses, studies, and AI/ML and non-AI/ML models.
  • Develop and maintain ETL/ELT workflows for structured and unstructured data.
  • Conduct qualitative and quantitative research using client data, formulate and test hypotheses, and present results clearly and concisely.
  • Use advanced statistical techniques to identify and measure trends and anomalies and determine relevant insights.
  • Create visualizations and other tools that allow users to interact with data.
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