Data Scientist III - Maritime EW Lifecycle Analytics

Lever, Inc.; Washington (District of Columbia); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Eleven Federal Holidays

Paid Time Off

Parental Leave

Medical plans

Dental & Vision

Disability insurance

Life & AD&D Insurance

401k with matching

Continuing education assistance

Flexible Spending Accounts

Employee Assistance Program

Wellness benefits

529 College Savings Plan

Legal Insurance

Pet Insurance

Job summary

PingWind is seeking a Data Scientist III to join the MEWSD, delivering analytics across Navy EW, decoy, and SEWIP programs. You will integrate logistics, reliability, and operations research to optimize lifecycle performance, system readiness, and availability while balancing mission needs and cost.

The role requires a Master’s degree and a Secret clearance, with 10+ years of experience in data science and engineering analysis.

Qualifications

• Master’s degree required for the role.
• Minimum 10 years of experience in data science or related field.
• Ability to analyze large structured and unstructured data and derive actionable insights.

Responsibilities

• Develop and implement analytical techniques transforming raw data into meaningful, actionable information supporting operational and program decision-making.
• Apply data mining, data modeling, statistical analysis, NLP, and machine learning to large datasets.
• Create data visualizations, dashboards, and reports for technical and non-technical stakeholders.
• Interpret analytical results and provide data-driven findings to support system performance and lifecycle management.
• Collaborate with logisticians, engineers, and program personnel to translate requirements into analytical solutions.

Skills

Data mining

NLP

Machine learning

Statistical analysis

Data modeling

Education

Master’s Degree

Job description

PingWind is seeking a Data Scientist III to join the MEWSD, delivering analytics across Navy EW, decoy, and SEWIP programs. You will integrate logistics, reliability, and operations research to optimize lifecycle performance, system readiness, and availability while balancing mission needs and cost.

The role requires a Master’s degree and a Secret clearance, with 10+ years of experience in data science and engineering analysis.