Data Scientist

VTG•Chantilly, VA

33d

About The Position

VTG is looking for a Data Scientist in Chantilly, VA. (Note: Contingent upon program award). 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. Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

Requirements

TS/SCI with Poly Required
Data Scientist I: 1-4 years of experience supporting data analysis or analytics projects
Data Scientist I: Familiarity with Python, R, SQL, or similar analytical tools
Data Scientist I: Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
Data Scientist I: Basic understanding of statistics and data visualization
Data Scientist I: Strong analytical and communication skills
Data Scientist I: Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
Data Scientist II: 5-9 years of experience in data analytics or data science roles
Data Scientist II: Strong proficiency with Python or R and SQL
Data Scientist II: Experience with statistical analysis, modeling, or machine learning techniques
Data Scientist II: Strong written and verbal communication skills
Data Scientist II: Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
Data Scientist III: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
Data Scientist III: 10+ years of experience in data analytics or data science roles
Data Scientist III: Strong proficiency with Python or R and SQL
Data Scientist III: Experience with statistical analysis, modeling, or machine learning techniques
Data Scientist III: Strong written and verbal communication skills

Nice To Haves

Data Scientist I: Experience supporting federal, DoD, or IC programs
Data Scientist I: Exposure to mission, operational, or enterprise data sets
Data Scientist I: Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
Data Scientist II: Experience supporting IC, DoD, or DOJ mission programs
Data Scientist II: Experience working with operational, intelligence, or enterprise data
Data Scientist II: Familiarity with cloud‑based analytics environments
Data Scientist II: Experience with Agile delivery environments
Data Scientist III: Experience supporting IC, DoD, or DOJ mission programs
Data Scientist III: Experience working with operational, intelligence, or enterprise data
Data Scientist III: Familiarity with cloud‑based analytics environments
Data Scientist III: Experience with Agile delivery environments

Responsibilities

Data Scientist I: Support collection, cleaning, and preparation of structured and semi‑structured data
Data Scientist I: Assist with exploratory data analysis and basic statistical assessments
Data Scientist I: Develop simple dashboards, visualizations, and analytical summaries
Data Scientist I: Support documentation of data sources, assumptions, and methodologies
Data Scientist I: Participate in analytic working groups and technical discussions
Data Scientist I: Assist with maintaining data pipelines, scripts, and analysis artifacts
Data Scientist I: Support coordination between data engineers, analysts, and mission stakeholders
Data Scientist II: Analyze large and complex datasets to identify trends, patterns, and insights
Data Scientist II: Develop and apply statistical models or machine learning techniques as appropriate
Data Scientist II: Design and maintain dashboards, visualizations, and analytic products
Data Scientist II: Translate mission or business questions into analytic approaches and outputs
Data Scientist II: Validate data quality, assumptions, and model results
Data Scientist II: Present findings and recommendations to technical and non‑technical stakeholders
Data Scientist II: Support integration of analytics into operational or decision‑support workflows
Data Scientist III: Analyze large and complex datasets to identify trends, patterns, and insights
Data Scientist III: Develop and apply statistical models or machine learning techniques as appropriate
Data Scientist III: Design and maintain dashboards, visualizations, and analytic products
Data Scientist III: Translate mission or business questions into analytic approaches and outputs
Data Scientist III: Validate data quality, assumptions, and model results
Data Scientist III: Present findings and recommendations to technical and non‑technical stakeholders
Data Scientist III: Support integration of analytics into operational or decision‑support workflows