Data Scientist

*Active Secret Clearance needed for consideration*

Zachary Piper Solutions is currently seeking a Data Scientist to support a DoD Training and Simulation Program based in Orlando, Florida . This is a full-time , fully onsite role. This position is critical to advancing program performance, modernization, and data-driven decision-making. As a Data Scientist, you will apply statistical and data science methods to develop insights, prototypes, and analytical decision-support tools, while collaborating closely with engineering and Agile implementation teams.

Key Responsibilities:

• Apply statistical and data science methods to develop insights, prototypes, and decision-support analyses that improve DoD program performance and modernization outcomes.
• Support Agile Solution Implementation by delivering proactive metrics analysis (e.g., velocity and capacity forecasting).
• Perform exploratory data analysis, feature engineering, and baseline model development.
• Develop reproducible notebooks/scripts and clearly document assumptions, analytical methods, and results.
• Work closely with senior data scientists and engineers to prepare data, run experiments, and interpret findings for both technical and non-technical stakeholders.
• Support model validation processes, including bias checks, performance evaluation, and monitoring plans.
• Collaborate with engineering teams to transition analytical prototypes into deployable pipelines where appropriate.

Requirements:

• 5+ years of relevant experience with BA/BS (or equivalent).
• Experience with Python or R, including common statistical/ML libraries.
• Strong ability to communicate analytic findings clearly.
• Familiarity with data ethics, validation processes, reproducibility standards, and good analytical practices.
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
• Active SECRET clearance required

Nice to Have:

• Experience working with DoD operational datasets or large-scale enterprise performance metrics.
• Experience building visualizations to communicate analytical findings.
• Experience working with protected data and RBAC environments.

Compensation to include:

• Salary Range: $90,000 - $100,000 depending on experience
• Full Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave per applicable law

This job opens for applications on March 1, 2026 . Applications will be accepted for at least 30 days from the posting date.

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