Data Scientist II

Guidehouse•Mechanicsburg, PA

About The Position

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

Requirements

  • Active and maintained Secret Federal or DoD security clearance.
  • Bachelor's degree.
  • Five or more years of experience in data science, advanced analytics, or statistical modeling.

Nice To Haves

  • Experience in Databricks or Palantir Foundry.
  • Experience supporting predictive maintenance, readiness analytics, or logistics modernization efforts.
  • Experience with optimization modeling and simulation techniques.
  • Power BI, Tableau, or Qlik experience.
  • DoD or Navy support experience.
  • Experience with Python, R, SQL, and machine learning methodologies.
  • Experience developing analytical dashboards and visualizations.
  • Experience working with large and complex datasets.
  • Ability to develop and communicate data-driven insights.

Responsibilities

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

Benefits

  • Medical, prescription drug, dental, and vision insurance.
  • Personal and family sick time and company-paid holidays.
  • May be eligible for a discretionary variable incentive bonus.
  • Parental leave and adoption assistance.
  • 401(k) retirement plan.
  • Basic life and supplemental life insurance.
  • Health Savings Account and dental, vision, and dependent care Flexible Spending Accounts.
  • Short-term and long-term disability.
  • Student loan paydown.
  • Tuition reimbursement, personal development, and learning opportunities.
  • Skills development and certifications.
  • Employee referral program.
  • Corporate-sponsored events and community outreach.
  • Emergency back-up childcare program.
  • Mobility stipend.
  • Flexible benefits package.
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