AI & Advanced Analytics Specialist, Senior

Bowhead•Washington, DC
•$100,000 - $120,000

About The Position

Bowhead seeks a Senior AI & Advanced Analytics Specialist to support the DOT MARAD contract in Washington, DC. The role focuses on designing, evaluating, and applying artificial intelligence, natural language processing, and automated classification workflows to modernize traffic safety data quality control. It bridges quantitative analysis and modern analytical tools to improve data standardization, pattern recognition, and workflow efficiency across large-scale program datasets.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or a related analytical discipline.
  • At least 2 years of experience in data analysis, predictive modeling, or developing machine learning and natural language processing solutions.
  • Hands-on proficiency with Python or R for data manipulation, fuzzy string matching, and text analytics.
  • Experience using modern AI platforms, machine learning libraries, or major cloud environments such as Google Cloud, AWS, or Azure.
  • Proficiency in quantitative data analysis, data visualization tools such as Tableau or Power BI, and standard analytical packages such as SAS.
  • Ability to document system requirements, design analytical workflows, and present technical concepts to non-technical audiences.
  • Must currently hold a Public Trust security clearance.
  • U.S. citizenship is required for Public Trust clearance at this location.
  • Must be able to lift up to 25 pounds.
  • Must be able to stand and walk for prolonged amounts of time.
  • Must be able to twist, bend, and squat periodically.

Responsibilities

  • Develop and evaluate automated classification models and text-matching pipelines to standardize unstructured free-text entries.
  • Build data processing workflows to parse, de-duplicate, and structure multi-element records from various data sources.
  • Use AI tools, machine learning frameworks, or cloud analytics environments to automate routine data review and validation tasks.
  • Track quality metrics, model accuracy, and exception queues to continuously refine matching algorithms and decision rules.
  • Prepare data visualizations, flowcharts, and technical reports to communicate automated workflow performance to stakeholders.
  • Assist in integrating automated data validation logic into existing program databases and web-based reporting systems.
  • Perform other duties as assigned.
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