Modeling and Simulation Engineer - Data Analytics (Engineer or Principal Engineer Level)

Modeling and Simulation Engineer - Data Analytics (Engineer or Principal Engineer level) in San Diego, CA focusing on designing data mining pipelines, performing statistical analysis, and building dashboards to support data-driven decisions within the Sustainment Systems Engineering team on the Triton Enterprise.

Responsibilities

• Data Architecture & Modeling – design scalable data mining pipelines, establish ingestion, cleaning, transformation, and storage protocols; evolve models to capture long term trends and support real time analytics.
• Statistical Insight – conduct exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify drivers and associations across heterogeneous data sources.
• Visualization & Reporting – build interactive dashboards and reports using MATLAB, Tableau, Power BI, Plotly to communicate insights to technical and nontechnical stakeholders.
• Cross Functional Collaboration – collaborate with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
• Innovation & Knowledge Leadership – stay current with cutting edge data science methodologies (deep learning, reinforcement learning) and assess their relevance to defense contexts; mentor teams and promote a data driven decision making culture.
• Governance & Quality – establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.

Requirements

• A STEM bachelor’s degree with at least 2 years of relevant military or professional experience, or a STEM master’s degree with some relevant experience.
• A STEM bachelor’s degree with at least 5 years of relevant military or professional experience, or a STEM master’s degree with at least 3 years, or a PhD with at least 1 year of relevant military or professional experience.
• Active US Government Secret or higher clearance with a background investigation completed within the last 6 years or currently enrolled in Continuous Evaluation.
• Ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable timeframe as determined by business needs.
• Experience ingesting, processing, storing, analyzing and visualizing large data sets.
• Education: PhD (as the stated education requirement).

Technologies

• Python
• SQL
• Tableau
• MATLAB
• Power BI
• Plotly
• .DAT file decoding

Benefits

• Health insurance coverage
• Life insurance
• Disability insurance
• Savings plan
• Company paid holidays
• Paid time off for vacation and/or personal business
• Long Term Incentives

Relocation Assistance

• Relocation assistance may be available

Location

• San Diego, CA (onsite)

Compensation

• USD 91,800 - 171,000 per year

Minimum Experience

• 1 year

Education

• PhD

Clearance for Start

• Yes

Clearance Type

• Secret

Travel

• Yes, 10% of the time