Remote AI Data Analyst — Global Logistics & ML Modeling

Ksa-Integration; United States; In loco; USD 100.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical/Dental/Vision (company-paid)

HSA/FSA Medical Plans

PTO

Flexible work environment

401K with company match

Observes federal holidays

Tuition reimbursement

Descrizione del lavoro

KSA Integration is seeking an AI Data Analyst to support Marine Corps MS&A efforts, focusing on data preparation, scripting, and model execution. The role involves creating pipelines, dashboards, and AI/ML workflows under senior guidance.

Remote/Contractor facility with core EST hours and a September 30, 2026 anticipated start. Required are a Bachelor's degree and 4+ years of related experience, along with Python/R/SQL proficiency and basic data visualization.

Competenze

• Bachelor's degree required.
• Four+ years of related experience.
• Proficiency in Python, R, or SQL and basic data visualization tools.
• Active Secret security clearance or ability to obtain one (must be maintained).
• Must be eligible to obtain a DoW CAC.

Mansioni

• Prepare, clean, and validate data for models, simulations, and analyses.
• Write and maintain scripts in Python, R, or SQL to automate data tasks.
• Run models/simulations, document results, flag anomalies for review.
• Build data pipelines from multiple sources and transform data into usable metrics.
• Create data visualizations and dashboards to communicate results.
• Support development of AI/ML workflows under supervision.
• Maintain documentation of data sources and scripts.

Conoscenze

Python

R

SQL

Data visualization

Formazione

Bachelor's degree

Master's degree (preferred)

Strumenti

Databricks

TensorFlow

PyTorch

Descrizione del lavoro

KSA Integration is seeking an AI Data Analyst to support Marine Corps MS&A efforts, focusing on data preparation, scripting, and model execution. The role involves creating pipelines, dashboards, and AI/ML workflows under senior guidance.

Remote/Contractor facility with core EST hours and a September 30, 2026 anticipated start. Required are a Bachelor's degree and 4+ years of related experience, along with Python/R/SQL proficiency and basic data visualization.