Defense Data Scientist: AI Pipelines & ML Dev

Agile Defense

Washington (District of Columbia)

On-site

USD 130,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Health Insurance
Life Insurance
Paid Time Off
Retirement benefits
Learning and Development opportunities

Job summary

Agile Defense is looking for a Data Scientist/Engineer to develop scalable, AI-enabled data solutions for the Department of Defense. This role involves shaping data pipelines and collaborating with diverse teams to extract insights from complex data.

Candidates should have at least 4 years of experience in data science and be proficient in Python and SQL, with familiarity in MLOps and cloud platforms.

The position offers a competitive salary range of $130,000 - $155,000 with additional benefits.

Qualifications

  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks.
  • Experience developing ML models from training to deployment.

Responsibilities

  • Support design, development, and deployment of AI-enabled data solutions.
  • Shape and deploy data pipelines and machine learning services.
  • Collaborate with cross-functional teams to transform raw data.

Skills

Applied data science
Machine learning engineering
Data pipeline development
Python
SQL
Spark
Databricks
MLOps
Data visualization
Technical communication

Education

Bachelor's degree with 3 years experience or equivalent
Major certification with 7 years experience or equivalent

Tools

scikit-learn
TensorFlow
XGBoost
MLflow
Tableau
Plotly
Matplotlib

Job description

Agile Defense is looking for a Data Scientist/Engineer to develop scalable, AI-enabled data solutions for the Department of Defense. This role involves shaping data pipelines and collaborating with diverse teams to extract insights from complex data.

Candidates should have at least 4 years of experience in data science and be proficient in Python and SQL, with familiarity in MLOps and cloud platforms.

The position offers a competitive salary range of $130,000 - $155,000 with additional benefits.

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