Senior Defense Data Scientist & AI Lead

Guidehouse

Mechanicsburg (Cumberland County)

On-site

USD 149,000 - 248,000

Full time

7 hours ago
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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Parental Leave
Mobility Stipend

Job summary

Guidehouse in the United States seeks a senior data science leader to drive advanced analytics and AI initiatives supporting Navy readiness modernization. You will own predictive and prescriptive analytics for supply chain, weapon system sustainment, and operational readiness.

Responsibilities include ML governance, model development, and executive decision-support while mentoring data science teams and collaborating with government stakeholders.

Qualifications

  • ACTIVE and MAINTAINED Top Secret clearance required.
  • Bachelor's degree in a related field.
  • 7+ years of experience in data science/advanced analytics.

Responsibilities

  • Lead advanced analytics and AI initiatives for Navy readiness modernization.
  • Develop predictive and prescriptive solutions for supply chain and operations.
  • Oversee ML models, simulations, forecasting, and optimization algorithms.
  • Guide decision-making environments for senior leaders.
  • Establish analytical methodologies, validation, and governance.
  • Translate requirements into analytical solutions and recommendations.
  • Mentor data scientists and analysts across workstreams.
  • Collaborate with Government stakeholders on readiness and logistics.
  • Support enterprise reporting and executive decision-making.

Skills

Security clearance
Bachelor's degree
7+ years data science

Education

Bachelor's degree
Advanced degree (nice to have)

Tools

Databricks
Palantir Foundry
Qlik
MSS
NDP

Job description

Guidehouse in the United States seeks a senior data science leader to drive advanced analytics and AI initiatives supporting Navy readiness modernization. You will own predictive and prescriptive analytics for supply chain, weapon system sustainment, and operational readiness.

Responsibilities include ML governance, model development, and executive decision-support while mentoring data science teams and collaborating with government stakeholders.

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