Supervisory Environmental Scientist
National Oceanic and Atmospheric Administration
FreshPosted Apr 9
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Posted: April 9, 2026 (0 days ago)
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SCIENTIST
Commander, Naval Information Warfare Systems Command (NAVWARSYSCOM)
Department of the Navy
Location
Salary
$102,246 - $158,062
per year
Type
Full-Time
More Science & Research jobs →Closes
April 13, 2026More Navy jobs →
GS-11 Pay Grade
Base salary range: $62,107 - $80,737
Typical requirements: 1 year specialized experience at GS-10. Ph.D. or equivalent doctoral degree, or 3 years graduate study.
Note: Actual salary includes locality pay (15-40%+ depending on location).
Job Description
Summary
This job involves designing and managing data systems that process and analyze large amounts of information to support naval operations, including building pipelines for data flow, ensuring data quality, and applying advanced analytics like machine learning to deliver useful insights quickly.
A good fit would be someone with hands-on experience in data engineering and programming who enjoys collaborating with teams to turn business needs into practical tech solutions.
It's ideal for tech-savvy professionals passionate about staying ahead of new data tools in a government setting.
Key Requirements
- At least one year of specialized experience equivalent to GS-11 or ND-03, including designing and maintaining data pipelines using Airflow, Python, and SQL
- Proficiency in implementing CI/CD pipelines and version control for data workflows
- Ability to translate business requirements into data models, tables, and views in data warehouses, lakes, or lake houses
- Experience with automated data quality checks using tools like Great Expectations or dbt
- Skills in statistical modeling and machine learning to generate intelligence and optimize deployment cycles
- Strong collaboration with data analysts, scientists, product managers, and engineers to define and deliver data assets
- Knowledge of maintaining documentation, data dictionaries, and lineage diagrams, plus staying current on emerging data technologies
Full Job Description
You will serve as a SCIENTIST in the CORPROATE OPERATIONS 80000 DEPARTMENT of NAVWARSYSCEN PACIFIC SAN DIEGO CA.
Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-11 grade level or ND-03 pay band in the Federal service or equivalent experience in the private or public sector.
Specialized experience must demonstrate the following: Scientist Designed, built, and maintained end-to-end batch and near-real-time data pipelines for enterprise business datasets using Airflow, cloud-native orchestration tools, and Python/SQL.
Implemented CI/CD and version control.
Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social).
Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Major Duties:
- You will translate business requirements into logical/physical data models and create corresponding tables/views in data warehouses, lakes, or lake houses.
- You will implement automated data-quality checks (schema validation, null-checks, statistical tests) with frameworks like Great Expectations, dbt tests, or custom scripts.
- You will leverage the engineered platform to apply statistical modelling and machine learning techniques that generate mission critical intelligence, shortening model deployment cycles by 70 % and producing measurable operational savings.
- You will partner with data analysts, data scientists, product managers, and software engineers to clarify data needs, define SLA/SLO expectations, and deliver timely data assets.
- You will maintain up-to-date pipeline documentation, data dictionaries, and lineage diagrams in Confluence, Notion, or a metadata catalog.
- You will stay current on emerging data technologies (e.g., streaming platforms, feature stores, serverless analytics) and evaluate their fit for existing or upcoming projects.
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