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Data Scientist

Remote · United States or Arlington, Virginia, United States

Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Unknown

Job Summary

Data Scientist to support IRS mission-critical analytics. Responsibilities include developing, testing, and deploying predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax-related datasets. You will work across the full data science lifecycle from problem formulation and data exploration to model validation, deployment, and stakeholder communication. You will apply supervised and unsupervised machine learning techniques, perform data wrangling of large datasets, and collaborate with government clients, program managers, and cross-functional teams to translate business and compliance needs into technically robust solutions. Proficiency in Python or R, SQL, and Databricks is expected, along with experience documenting work and communicating findings to audiences with varying levels of analytical sophistication. The role requires on-site travel to client locations and is based in Arlington, VA with a remote-work preference for the Washington DC area; the position emphasizes governance, security, and explainable results.

Required Qualifications

  • Bachelor of Science degree in statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs
  • Preferred: Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience with PySpark, NLP, Databricks, AWS; containerization; secure government environments
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Elder Research

Data Scientist

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