Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms
Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources
Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences

From the employer’s posting

Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences

Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
Python, R, SQL, and Spark for data analysis and modeling
Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics
10+ years of professional experience in data science and leadership or senior technical role
Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)
Familiarity with DoD data governance, data labeling, and ethical AI guidelines

Preferred experience

Masters preferred

Qualification wording

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)

Python, R, SQL, and Spark for data analysis and modeling

Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics

10+ years of professional experience in data science and leadership or senior technical role

Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

Familiarity with DoD data governance, data labeling, and ethical AI guidelines

Tools in this posting

R
SQL
AWS
Azure
Spark
Tableau
PyTorch
TensorFlow
Python
Google Cloud (GCP)
Power BI
scikit-learn
Xgboost
Plotly

Source

- Proven experience with: - Python, R, SQL, and Spark for data analysis and modeling - Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost

- Data visualization tools like Power BI, Tableau, or Plotly - Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows - Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

- Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost - Data visualization tools like Power BI, Tableau, or Plotly - Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows

- Python, R, SQL, and Spark for data analysis and modeling - Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost - Data visualization tools like Power BI, Tableau, or Plotly

Job description

View original posting ↗

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems.

Key Responsibilities

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms
Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources
Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences
Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts
Translate mission needs into analytical frameworks, model requirements, and implementation strategies
Validate and tune models for performance, explainability, and operational relevance
Author technical reports, white papers, and decision briefings for stakeholders and senior leadership

Minimum Qualifications

U.S. Citizenship with an active or interim Secret clearance
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)
10+ years of professional experience in data science and leadership or senior technical role
Security+ Certification
Proven experience with:
- Python, R, SQL, and Spark for data analysis and modeling
- Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Data visualization tools like Power BI, Tableau, or Plotly
- Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows
Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

Additional Preferred Qualifications

Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics
Familiarity with DoD data governance, data labeling, and ethical AI guidelines
Strong understanding of model operationalization, A/B testing, and production monitoring
Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures
Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)
Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on kroswise.isolvedhire.com. The employer’s form will show what is required.

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Source & posting history

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Source notes

Source excerpts

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Pay

No pay amount identified in the saved description.

Location & working pattern

San Diego, CA, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

Minimum Qualifications - U.S. Citizenship with an active or interim Secret clearance - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)

Open source at kroswise.isolvedhire.com ↗Read the full description ↓