Data Scientist

Agile Defense
Washington
Workplace: OnsiteFull timeUSD 130,000 - 155,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Python","SQL","Spark","Databricks","PySpark","MLflow","Scikit-learn","TensorFlow","XGBoost","API development","AWS","Azure","Palantir Foundry","Tableau","Plotly","Matplotlib"]

Seek to design, develop, and operationalize scalable AI-enabled data solutions within secure environments. You’ll build data pipelines, feature engineering workflows, and ML services, collaborating with product managers, developers, and mission stakeholders to translate raw data into decision-support tools for defense and government operations. Experience with cloud data platforms (Databricks, Palantir, AWS) and MLOps is preferred.

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FursaFursa
Agile Defense
Agile Defense
3 months ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Seek to design, develop, and operationalize scalable AI-enabled data solutions within secure environments. You’ll build data pipelines, feature engineering workflows, and ML services, collaborating with product managers, developers, and mission stakeholders to translate raw data into decision-support tools for defense and government operations. Experience with cloud data platforms (Databricks, Palantir, AWS) and MLOps is preferred.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Shape, deploy, and maintain data pipelines and pre-processing workflows in secure environments.
  • •Develop and deploy machine learning models from training to production, including feature engineering and model evaluation.
  • •Collaborate with product managers, full-stack developers, and platform engineers to deliver data-driven insights and decision-support tools.
  • •Work in agile environments emphasizing reproducibility, testing, and continuous delivery.
  • •Communicate complex technical concepts effectively to non-technical audiences and stakeholders.

Pay and Benefits

Salary: USD 130,000 - 155,000 annually

Key Requirements

  • •4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • •Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
  • •Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • •Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • •Excellent technical communication skills
Experience:4+ yearsDefenseGovernmentData analyticsAIMachine learning
Education:Bachelor's
Skills:PythonSQLSparkDatabricksPySparkMLflowScikit-learnTensorFlowXGBoostAPI developmentAWSAzurePalantir FoundryTableauPlotlyMatplotlib
Languages:English
Tech Stack:PythonSQLSparkDatabricksPySparkMLflowScikit-learnTensorFlowXGBoostAWSAzurePalantir FoundryTableauPlotlyMatplotlib

Eligibility

Security Clearance:Top Secret / SCI

Company Brief

Agile Defense
Provides cybersecurity services including managed detection and response, incident response, vulnerability assessments, and security operations to help organizations detect, respond to, and remediate cyber threats while meeting regulatory and compliance requirements.
Industry: Cybersecurity
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