Data Scientist II: Logistics & Predictive Analytics(Secret)

Guidehouse; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Sick Time & Holidays

Discretionary bonus

Parental Leave and Adoption Assistance

401(k) Retirement Plan

Tuition Reimbursement, Personal Dev &

Job summary

Guidehouse is seeking a Data Scientist with active Secret clearance to join our Data Science Consulting team in the United States. You will develop predictive and forecasting models to support logistics and readiness analytics, and you will collaborate with data architects to operationalize solutions.

The role requires 5+ years in data science or statistical modeling, a Bachelor's degree, and the ability to communicate insights to technical and non-technical stakeholders.

Qualifications

• Active and maintained SECRET clearance required.
• Bachelor's degree required.
• 5+ years of experience in data science, analytics, or statistical modeling.

Responsibilities

• Develop predictive models, forecasting tools, and ML solutions for logistics and readiness analytics.
• Conduct exploratory data analysis to identify trends, anomalies, and operational risks.
• Create analytical products for supply chain optimization and performance management.
• Develop dashboards, visualizations, and decision-support tools.
• Support model validation, monitoring, and continuous improvement.
• Collaborate with Data Architects and engineers to operationalize analytical solutions.
• Communicate analytical findings to technical and non-technical stakeholders.

Skills

Data science

Statistical modeling

Communication of insights

Education

Bachelor's degree

Tools

Databricks

Palantir Foundry

Job description

Guidehouse is seeking a Data Scientist with active Secret clearance to join our Data Science Consulting team in the United States. You will develop predictive and forecasting models to support logistics and readiness analytics, and you will collaborate with data architects to operationalize solutions.

The role requires 5+ years in data science or statistical modeling, a Bachelor's degree, and the ability to communicate insights to technical and non-technical stakeholders.