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.
Employment type Full-Time
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
Build models and algorithms to find trends, anomalies and risks in system data
Integrate logistics, engineering and maintenance data for sustainment analysis
Apply data mining, statistics and machine learning to large structured and unstructured datasets
Build dashboards and reports that explain findings to technical and non-technical audiences
Present data-driven recommendations on readiness, reliability and availability
Develop data models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators.
Integrate logistics, engineering, maintenance, reliability, and operational data to support lifecycle management and sustainment analysis.
Apply data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning techniques to analyze large structured and unstructured datasets.
Create effective data visualizations, dashboards, and dynamic reports that communicate complex analytical findings to technical and non-technical stakeholders.
Interpret analytical results and provide data-driven findings and recommendations to support system performance, readiness, reliability, maintainability, and operational availability.
Required Clearance: Secret Required Education: Bachelor’s Degree Required Experience: Minimum of 1 year of experience Position Description
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 20
Similar jobs usually come down between day 7 and day 56.
From 10,180 similar postings that came down. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Required Clearance: Secret
Required Education: Bachelor’s Degree
Required Experience: Minimum of 1 year of experience
Position Description
PingWind is seeking a Data Scientist I who will provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for critical U.S. Navy Electromagnetic Warfare (EW), Decoy, and Surface Electronic Warfare Improvement Program (SEWIP) systems. This role supports cradle-to-grave activities, including engineering, technology transition, installation, logistics, product support, test and evaluation, sustainment, maintenance, and repair. The Data Scientist I will integrate logistics, data science, reliability and maintainability engineering, and operations research to analyze and model complex systems, improve operational availability, and support data-driven decisions. This position directly contributes to optimizing warfighting capability, system readiness, reliability, and lifecycle performance while balancing mission requirements, performance, and cost.
Responsibilities
Typical Responsibilities/Tasks:
• Develop and implement analytical techniques and applications that transform raw data into meaningful, actionable information supporting operational and program decision-making.
• Apply data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning techniques to analyze large structured and unstructured datasets.
• Use data-oriented programming languages and analytical tools to collect, process, integrate, analyze, and interpret complex datasets.
• Develop data models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators.
• Create effective data visualizations, dashboards, and dynamic reports that communicate complex analytical findings to technical and non-technical stakeholders.
• Interpret analytical results and provide data-driven findings and recommendations to support system performance, readiness, reliability, maintainability, and operational availability.
• Integrate logistics, engineering, maintenance, reliability, and operational data to support lifecycle management and sustainment analysis.
• Develop and maintain repeatable analytical processes, models, and reporting solutions that improve data quality, consistency, traceability, and accessibility.
• Collaborate with logisticians, engineers, operations research analysts, and program personnel to translate mission and business requirements into analytical solutions.
• Prepare and present technical reports, analyses, visualizations, and briefings that enable timely, informed decision-making and continuous performance improvement.
Required Qualifications
• Minimum of 1 year of experience
About Pingwind
PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is a VA CVE certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA HUBZone Certified with offices in Washington DC and Northern Virginia. www.PingWind.com
Our benefits include:
· Eleven Federal Holidays
· Paid Time Off accrued each pay period
· Parental Leave
· Three medical plan choices with generous employer contribution
· Dental and Vision Insurance
· Company paid Short-Term and Long-Term Disability
· Company paid Life and AD&D Insurance
· 401k with competitive matching and vesting schedule
· Continuing education assistance
· Short Term / Long Term Disability & Life Insurance
· Medical, Dependent Care and Commuter Flexible Spending Accounts
· Employee Assistance Program
· Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
· 529 College Savings Plan
· Legal Insurance
· Pet Insurance
Salary Range
The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.
Full-Time
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Remote
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