Senior Principal Data Scientist

General Dynamics

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Crystal City, VA
Salary: $187,000–$253,000 / yr
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $220k

$101k $269k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $142,146–$200,700 — the blue band above. At the midpoint, this role pays about $220k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1364 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1161 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Principal Data Scientist

Role Posting Log in to save

The Senior Principal Data Scientist joins a multidisciplinary team to create and deliver innovative analytic solutions for complex government requirements. You will work with large, disparate datasets to develop practical analytic methods, identify patterns, and translate technical findings into actionable insights. Key responsibilities include implementing repeatable data analysis, developing analytic tooling like scripts and notebooks, and evaluating machine learning or algorithmic approaches for classification, clustering, and anomaly detection. You will build interactive dashboards using Streamlit and create analyst-ready products like visualizations and summaries. Required skills include Python, SQL, Mathematics Modeling, and Statistical Analysis, with experience in platforms like Trino, PostgreSQL, or Hive. You will solve difficult data problems by transitioning exploratory prototypes into operational capabilities, ensuring results are reproducible and explainable for both technical and non-technical stakeholders.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

Python SQL Machine Learning Statistical Analysis pandas NumPy SciPy scikit-learn PostgreSQL Trino Hive OpenSearch Elasticsearch Streamlit FastAPI Docker CI/CD Git React Apache Iceberg Spark LLMs

What you'll do

Implement structured data analysis across large, disparate datasets to identify patterns, trends, and anomalies.
Characterize unfamiliar datasets by assessing data quality, distributions, and limitations to determine appropriate analytic approaches.
Develop and maintain analytic tooling, including scripts, notebooks, and reusable code components to automate workflows.
Evaluate applied statistical, machine learning, and algorithmic approaches for classification, clustering, and predictive analysis.
Establish validation methods, benchmarks, and confidence measures to communicate the strengths and limitations of analytic results.
Build interactive dashboards and Streamlit applications to support data exploration and analyst workflows.
Create analyst-ready products such as visualizations, summaries, and briefings that translate technical findings into decision-oriented insights.
Convert ad hoc analyses and prototypes into reusable pipelines, standardized methodologies, and maintainable operational capabilities.

What we're looking for

Must be a US Citizen.
Must currently possess a Top Secret/SCI clearance and be able to obtain a Top Secret SCI + Polygraph.
Must have 10+ years of related experience.
Must have a Bachelor's degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience).
Must possess skills in Data Analytics, Mathematics Modeling, Python, Statistical Analysis, and SQL.
Must have experience applying statistical, machine learning, or algorithmic techniques to real-world datasets.
Must have experience designing and implementing repeatable analytic workflows and integrating disparate data sources.
TS/SCI Clearance with current or willingness to obtain CI polygraph.

Similar roles

Senior Principal Data Scientist

General Dynamics

Crystal City, VA 50 days ago $187,000–$253,000

Python SQL Machine Learning Statistical Analysis Data Analytics PostgreSQL Trino Hive OpenSearch Elasticsearch Pandas NumPy SciPy scikit-learn Streamlit FastAPI Docker CI/CD Git Apache Iceberg Spark React RESTful APIs LLMs

10+ yrs exp

Save

Senior Data Scientist

General Dynamics

Sterling, VA 122 days ago $152,150–$205,850

Python Machine Learning Data Science Language Models Data Modeling SQL Statistics Linear Algebra Calculus Linux Windows AI Cybersecurity

10+ yrs exp Hybrid

Save

Senior Principal Data Scientist

Northrop Grumman

Magna, UT 37 days ago

Data Science Statistics RStudio Statistica Bayesian Uncertainty Quantification Reliability Engineering Statistical Process Control Hardware Design

8+ yrs exp

Save

Senior Principal Data Scientist

Northrop Grumman

Magna, UT 18 days ago $135,000–$202,600

Data Science Statistics RStudio Statistica Bayesian Uncertainty Quantification Reliability Engineering Statistical Process Control Systems Reliability

8+ yrs exp

Save

Senior Data Scientist

Intuit

San Diego, CA +1 143 days ago $149,500–$202,500

Machine Learning Causal Inference Python SQL R Generative AI Experimentation Design Deep Learning Time-series Forecasting Uplift Modeling Tableau Qlik Bayesian Inference Multi-armed Bandits CUPED Econometrics Data Visualization

4+ yrs exp

Save

Senior Data Scientist

Cary, NC 78 days ago

Python R SQL Machine Learning LLM RAG Prompt Engineering Git AWS GCP Azure Vector Databases PowerBI Data Science

8+ yrs exp Hybrid

Save