Data Scientist II (Scientist Level II)

E-Logic, Inc.; San Diego (CA); On-site; USD 95,000 - 125,000; Full time

Job summary

The Southwest Regional Maintenance Center (SWRMC) in San Diego, CA, seeks a Data Scientist II to support the Engineering Department in analytics for fleet maintenance and readiness. The role applies data mining, data modeling, and machine learning to extract insights from large structured and unstructured data, supporting decision-making and process improvements.

This is an on-site, non-personal services contract position. Active Secret clearance and U.S.

Qualifications

• Bachelor's degree in a data-related field required.
• Minimum 3 years of professional data science or analytics experience.
• U.S. Citizenship and Active Secret clearance required.

Responsibilities

• Develop and implement analytics applications to transform raw data into meaningful information.
• Apply data mining, data modeling, NLP, and machine learning on large datasets.
• Visualize, interpret, and report findings to leadership and government stakeholders.
• Create dynamic reports and dashboards to track KPIs related to maintenance and readiness.
• Support CHENG with technical analysis for availability work certification and process improvements.

Skills

Data analytics

Machine learning basics

Data mining

NLP basics

Education

Bachelor's Degree in Data Science/Computer Science/Statistics/Mathematics

Tools

Power BI

Tableau

SQL

Job description

Location: San Diego, CA (On-site at SWRMC)

Clearance: Active Secret Security Clearance Required; U.S. Citizenship required

Job Type: Full-time

Contract Type: Government Contract (Base Year: 01 March 2027 - 29 February 2028)

Position Overview

We are seeking a detail-oriented, analytical Data Scientist II to support the Southwest Regional Maintenance Center (SWRMC) Engineering Department. This role is a Key Personnel position responsible for developing and implementing analytics applications to transform raw data into meaningful information for U.S. Navy fleet maintenance and readiness. The ideal candidate will apply data mining, data modeling, and machine learning techniques to extract and analyze information from large structured and unstructured datasets to support the Command's strategic decision-making and process improvement initiatives.

This is a non-personal services contract position. The contractor employee reports directly to the Prime Contractor for HR, disciplinary, and administrative matters, while receiving work direction from the Government Contracting Officer's Representative (COR). This is an in-person, on-site position.

Key Responsibilities

• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
• Visualize, interpret, and report data findings to senior leadership and Government requirements holders.
• Create dynamic data reports and dashboards to track key performance indicators (KPIs) related to maintenance, repair, and assessment execution.
• Support the Engineering Department's Chief Engineer (CHENG) with technical analysis of large data sets in support of Availability Work Certification and process improvements.
• Assist in developing metrics, formatting data, and interpreting results for continuous process improvement.

Required Qualifications

• Education: Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical field.
• Experience: Minimum of 3 years of professional experience in data science, data analytics, or a related field.
• Citizenship: U.S. Citizenship required.
• Security Clearance: Active Secret (Tier 3) security clearance or ability to obtain interim T3 prior to onboarding.
• Technical Skills: Proficiency in data-oriented programming languages (e.g., Python, R, SQL) and data visualization tools (e.g., Power BI, Tableau).
• Knowledge: Familiarity with machine learning algorithms and statistical analysis methods.
• Microsoft Office: Proficient in Word, Excel, PowerPoint, Outlook, Teams.
• Language: Fluent in written and verbal English.

Additional Requirements

• Must obtain legal entry authorization to Naval Base San Diego prior to commencing work.
• Must be issued a Common Access Card (CAC).
• Must comply with all DoD security regulations and safeguard Controlled Unclassified Information (CUI).
• Must pass background checks and base access control registration.

Schedule & Work Conditions

• Hours: Up to 40 hours per week, Monday-Friday, normal business hours, excluding Federal holidays.
• Travel: CONUS and OCONUS travel may be required to support SWRMC missions.
• Place of Performance: SWRMC, Naval Base San Diego, CA.

Equal Opportunity Employer

We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.