Senior Data Scientist

General Dynamics Information Technology, Inc.

$154K — $209K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of related experience in data science or engineering
  • Strong proficiency in Python for analytics and automation
  • Hands-on experience with SQL and large datasets
  • Experience developing analytical methods for relationship discovery
  • Ability to convert complex analyses into clear visual outputs
  • Bachelor's degree in Computer Science, Statistics, or related field required

Responsibilities

  • Implement structured data analysis across disparate datasets
  • Develop and improve analytic tools for automated workflows
  • Build and enhance interactive dashboards and GUIs
  • Create analyst-ready products for decision-making
  • Work with multi-disciplinary teams to standardize analytic processes
  • Support the integration and testing of analytical methods in operational settings

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401(k) plan with company match
  • Flexible work weeks and various paid time off options
  • Short and long-term disability benefits
  • Life and accident insurance options
  • Competitive benefits package regularly reviewed for relevance
Full Job Description
Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret/SCI

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Analytical Models, Data Analytics, Data Science, Python (Programming Language), Structured Query Language (SQL)
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:

YOUR IMPACT

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War's mission to keep our country safe and secure.

JOB DESCRIPTION

Iron EagleX is seeking a Senior Data Scientist to join our dynamic team in Crystal City, VA. This role creates and delivers innovative analytic solutions as a member of a fast-paced, multi-discipline team.

MEANINGFUL WORK AND PERSONAL IMPACT

As a Senior Data Scientist, you will quickly turn large and complex datasets into clear, actionable insights for critical customer requirements.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)

  • Implement structured, repeatable data analysis across large, disparate datasets to surface patterns, trends, anomalies, and relationships in support of mission and analytic needs.


  • Develop, maintain, and improve analytic tooling such as queries, scripts, lightweight services, and reusable code components to automate recurring workflows and enable rapid-turn analysis.


  • Build and enhance interactive analytic dashboards and lightweight GUIs, such as Streamlit applications, that support data exploration, linkage review, analyst workflows, and generation of structured outputs.


  • Create analyst-ready products, including tables, visualizations, summaries, briefings, and structured exports, that translate technical findings into clear, decision-oriented insights.


  • Work with analysts, engineers, and technical staff to convert ad hoc analyses into reusable pipelines, standardized methodologies, documented workflows, and maintainable analytic capabilities.


  • Support the integration, testing, and refinement of analytic methods in operational environments, ensuring outputs are reliable, reproducible, and usable by both technical and non-technical stakeholders.


REQUIRED SKILLS:

  • Strong Python skills for building practical analytic solutions, including data processing, automation, visualization, and reproducible scripts or notebooks using libraries such as pandas and NumPy.


  • Strong SQL and hands-on experience working directly with large datasets in modern data platforms such as Trino, PostgreSQL, Hive, OpenSearch, or Elasticsearch; distributed query experience is a plus.


  • Experience designing and implementing repeatable analytic workflows, including source triage, data profiling, quality checks, transformation logic, documentation, and reusable code patterns.


  • Practical experience developing analytic methods for entity resolution, relationship discovery, graph and relational analysis, including implementation of scoring, thresholds, validation checks, and measures of analytic confidence.


  • Experience integrating structured, semi-structured, and text-based data, including extracting key fields and signals, normalizing data across sources, and combining schemas to support downstream analysis and tooling.


  • Ability to translate technical analysis into usable outputs for analysts and decision-makers, including clear visualizations, concise analytic narratives, dashboards, and structured deliverables.


DESIRED SKILLS

  • Familiarity with deploying applications in Dockerized environments and utilizing CI/CD pipelines to support repeatable, secure, and maintainable software delivery.


  • Familiarity with Git best practices, including branching strategies, pull requests, code reviews, merge conflict resolution, and maintaining clean, well-documented repositories.


  • Experience integrating React-based frontends with RESTful APIs and Python-based backend services.


WHAT YOU'LL NEED TO SUCCEED

  • Clearance: Current TS/SCI Clearance with current or willingness to obtain CI polygraph


  • Experience:8+ years of related experience


  • Education: Bachelor's degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.


  • Role requirements: This position is onsite in Crystal City, VA and requires travel for 60-90 days to CONUS sites each year.


  • Due to US Government Contract Requirements, only US Citizens are eligible for this role


Scheduled Weekly Hours:
40

Travel Required:
10-25%

Telecommuting Options:
Onsite

Work Location:
USA VA Arlington

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

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