Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
San Diego, CA, US
Open 5 months, first seen by us 154 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US Citizenship with an active or interim Secret clearance
What you’ll work on
Full postingDesign, develop and deploy predictive models, NLP and optimization algorithms
Lead data ingestion, cleaning, transformation and exploratory analysis
Create dashboards and visualizations for technical and non-technical audiences
Translate mission needs into analytical frameworks and model requirements
Validate and tune models for performance, explainability and operational relevance
From the employer’s posting
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
Translate mission needs into analytical frameworks, model requirements, and implementation strategies
Validate and tune models for performance, explainability, and operational relevance
What you’ll bring
All qualificationsCore 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
Education & alternatives
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026154 days ago
- Recorded sightings
- 70
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Jun 17, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,990 similar postings that came down. Coming down is not always a hire.
Kros-Wise is hiring
3 open jobs
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
- Azure
- Power BI
- Spark
- Tableau
- Plotly
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
- GCP
Where the posting names them
- 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
Your next step
Complete your application on kroswise.isolvedhire.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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)