Data Scientist I

VTG LLC
Chantilly, VA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Business Analytics Applications Data Analysis Data Visualization R (Programming Language) Python (Programming Language) Power BI SQL Databases Tableau (Software) Enterprise Data Management Jupyter Semi-structured Data Information Technology
+2 more
Data Management Data Pipelines

Job description

VTG is looking for a Data Scientist in Chantilly, VA. Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision., * Support collection, cleaning, and preparation of structured and semi-structured data

  • Assist with exploratory data analysis and basic statistical assessments
  • Develop simple dashboards, visualizations, and analytical summaries
  • Support documentation of data sources, assumptions, and methodologies
  • Participate in analytic working groups and technical discussions
  • Assist with maintaining data pipelines, scripts, and analysis artifacts
  • Support coordination between data engineers, analysts, and mission stakeholders

Requirements

Data Science, Data Science, Data Analysis, Government, Data Visualization, Structured Data, Statistics, Reporting Dashboards, Analysis Skills, Data Management, * TS/SCI with Poly Required

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field, * Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

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