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Data Scientist

• Posted 6 hours ago • Updated 6 hours ago

Full Time

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Job Details

Skills

Business Process
Decision-making
DoD
Unstructured Data
Deep Learning
Natural Language Processing
Stacks Blockchain
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Collaboration
Security Clearance
Computer Science
Data Science
Research
Mathematics
Statistics
Graph Theory
Probability
Calculus
Algorithms
NumPy
Pandas
scikit-learn
OpenCV
SQL
R
Analytical Skill
Data Visualization
Signal Processing
Computer Vision
Geospatial Analysis
Analytics
Data Engineering
Python
JavaScript
API
Docker
Microsoft Visual Studio
Jupyter
GitLab
Git
Cloud Computing
Amazon Web Services
Microsoft Azure
Software Engineering
Application Development
Dashboard
Workflow
Use Cases
Artificial Intelligence
Machine Learning (ML)
Agile
Rapid Prototyping

Business Process
Decision-making
DoD
Unstructured Data
Deep Learning
Natural Language Processing
Stacks Blockchain
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Collaboration
Security Clearance
Computer Science
Data Science
Research
Mathematics
Statistics
Graph Theory
Probability
Calculus
Algorithms
NumPy
Pandas
scikit-learn
OpenCV
SQL
R
Analytical Skill
Data Visualization
Signal Processing
Computer Vision
Geospatial Analysis
Analytics
Data Engineering
Python
JavaScript
API
Docker
Microsoft Visual Studio
Jupyter
GitLab
Git
Cloud Computing
Amazon Web Services
Microsoft Azure
Software Engineering
Application Development
Dashboard
Workflow
Use Cases
Artificial Intelligence
Machine Learning (ML)
Agile
Rapid Prototyping

Summary

Job Type

Full-time

Description

Position Summary:

FRDA is looking for a Data Scientist to join a multidisciplinary team developing analytic capabilities, capturing workflows, designing predictive models and developing business processes for real-world mission challenges. This role supports defense, intelligence, and federal clients by building machine learning models, data pipelines, and APIs to determine information values, trends, patterns, and relationships-particularly in signal, image, and geospatial domains-and working with structured and unstructured data to generate insights for operations or strategic decision-making.

This role is ideal for someone with a strong interest in high impact, mission-focused work in a fast-paced DOD environment.

This role is onsite in Springfield, VA.

Primary Duties and Responsibilities:

Design, build, and maintain robust data pipelines for structured and unstructured data.
Accurately determine feasibility of aggregating, transporting, storing, and safeguarding the data.
Develop and deploy Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision algorithms and models for signal processing, geospatial analytics, object detection, anomaly detection, and to enable prediction.
Analyze data to identify insights that can be gleaned from the data by determining information values, trends, patterns, and relationships within the data.
Clean, process, and format raw data into actionable, mission-ready outputs.
Support edge-computing constraints and adapt models to operate in austere or bandwidth-constrained settings.
Work within modern development stacks including Python, Java script Application Programming Interface (API), Docker, Visual Studio (VS) Code, Jupyter, Gitlab, Git, and Continuous Integration/Continuous Delivery (CI/CD) pipelines.
Collaborate with analysts, engineers, and mission leads to prototype and iterate on solutions rapidly.

Requirements

Minimum Qualifications:

Active TS/SCI clearance.
Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting.
Strong mathematics background in Statistics, Graph Theory, Probability, or Calculus to develop and test algorithms and models .
Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
Experience in building end-to-end analytic solutions-from data ingestion to deployment-and data visualization tools.
Exposure to signal processing, computer vision, or geospatial analytics projects.

Preferred Qualifications:

Master's degree or certifications in data engineering, machine learning, or related areas.
Familiarity with FastAPI, Python, Java script Application Programming Interface (API), Docker, Visual Studio (VS) Code, Jupyter, Gitlab, Git, cloud services (e.g. AWS, Azure), and REST APIs.
Software engineering and/or application development to support automating processes, dashboards, and workflows.
Experience supporting national security, defense, or intelligence community use cases.
Exposure to edge-AI environments or low-latency ML deployments.
Background in Agile environments with rapid prototyping capabilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90882509
Position Id: c2dce55881c26be6e186aa6405ffcedb
Posted 6 hours ago

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