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Data Scientist Security Clearance

Job in Orlando, Orange County, Florida, 32801, USA
Listing for: Zachary Piper Solutions, LLC
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 100000 USD Yearly USD 90000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist with Security Clearance
Zachary Piper Solutions is seeking a Data Scientist to join a mission-driven federal IT consulting firm that delivers secure, enterprise-scale technology solutions and digital modernization services to U.S. government agencies, supporting complex programs across defense, aviation, healthcare, energy, and other critical public sector domains, located in Orlando, FL for a fully on-site role. The Data Scientist will apply statistical and data science techniques to analyze program performance, build and validate predictive models, generate actionable insights, and collaborate with cross-functional teams to operationalize data-driven solutions that enhance modernization and Agile delivery outcomes.

* This role requires an active SECRET Clearance
* Responsibilities of the Data Scientist:
* Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting)
* Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders.

* Key Responsibilities include:

* Perform exploratory data analysis, feature engineering, and baseline model development.
* Develop reproducible notebooks/scripts and document assumptions, methods, and results.
* Support model validation, bias checks, and monitoring plans.
* Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Qualifications for the Data Scientist:
* 5 years of experience with Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field (or equivalent experience)

* Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results.
* Familiarity with data ethics, validation, and reproducibility practices.
* Active SECRET clearance
* Desired

Skills:

* Exposure to operational datasets and performance metrics in DoD or large enterprise contexts
* Experience with visualization tools to communicate results
* Experience working with protected data and RBAC Compensation for the Data Scientist:
* Salary Range: $90,000 - $100,000
* depending on experience
* * Comprehensive Benefits:
Medical, Dental, Vision, 401k Plan, PTO, Holidays, Sick Leave if required by law
This job opens for applications on 2/27. Applications for this job will be accepted for at least 30 days from the posting date. #LI-MS1 #LI-ONSITE , 5+ years experience, Bachelor's degree, Data Science, Statistics, Mathematics, Computer Science, Engineering, predictive modeling, statistical analysis, machine learning, ML algorithms, program performance analysis, modernization initiatives, Agile delivery, Agile Solution Implementation, Velocity forecasting, Capacity forecasting, proactive metrics analysis, decision-support analytics, CPE-STRI program support, exploratory data analysis (EDA), feature engineering, baseline model development, model validation, bias detection, bias mitigation, model monitoring, reproducible research, notebook development, script development, documentation, assumptions tracking, methodology documentation, experiment design, data preparation, data wrangling, data cleaning, hypothesis testing, cross-functional collaboration, stakeholder communication, technical and non-technical presentations, data storytelling, prototype development, pipeline deployment, MLOps, model operationalization, scalable analytics solutions, Python, R, pandas, Num Py, scikit-learn, statistical libraries, ML libraries, data visualization, analytical reporting, reproducibility best practices, data governance, data ethics, validation frameworks, federal program support, government contracting environment, secure environments, active SECRET clearance, security compliance
Position Requirements
5+ Years work experience
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