Data Scientist
Quick Summary
EDUCATION: Bachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research,
Skills:Data Analysis, Data Analytics, Data Science, Data Visualization,
Clearance Level Must Currently Possess:
Top SecretClearance Level Must Be Able to Obtain:
Top Secret/SCIJob Family:
Data Science and Data EngineeringRequirements
~1 min read- Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system.
- Familiarity with NLP and LLM use cases, including text preparation, evaluation datasets, and governance considerations.
- Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry.
- Experience with web application development technologies (e.g., HTML, CSS, JavaScript, React, Django, or ASP.NET Core) or with deploying analytics into applications. Software engineering or web-development experience is not required.
- Experience with human performance, sports science, health, clinical, or biomedical data.
Job Description:
We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.
GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day.
We think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on a Data Scientist joining our team to support customer activities.
The Data Scientist applies statistical analysis, data mining, and machine learning to human performance, behavioral health, and readiness data to produce actionable insights, forecasts, and decision-support products for the POTFF enterprise. The Data Scientist frames analytical questions with Government stakeholders, prepares and explores data, selects and applies appropriate methods, validates results, and communicates findings to technical and non-technical audiences through reports, briefings, and visual analytics built on the Government-furnished technology stack.
- Query, clean, transform, and prepare data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources for analysis, using the curated datasets maintained by the Data Engineer where available.
- Develop, validate, and document predictive and prescriptive models, forecasting methods, clustering, and other advanced statistical techniques to generate actionable forecasts regarding operator readiness, injury risk, program efficacy, and performance optimization, as directed by the Government.
- Support text-heavy use cases using Natural Language Processing (NLP) techniques (e.g., cleaning, entity extraction, classification) to analyze unstructured clinical or survey data and apply Large Language Model (LLM) and agent-style workflows only within Government-approved tools and datasets.
- Develop, deploy, and maintain visual analytics, dashboards, and executive reports using Government-furnished tools (e.g., Power BI, including semantic modeling and DAX), and integrate data products into low-code operational workflows (e.g., Microsoft Power Platform) where directed.
- Support Government-designed analyses and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions, including computation of program-efficacy metrics as directed by the Government.
- Automate recurring analyses and the generation of required monthly and quarterly reports, reducing manual effort and improving accuracy.
- Document data sources, transformations, assumptions, methods, and validation procedures so that analyses are reproducible and can be transferred to other personnel.
- Communicate complex concepts, methods, and results clearly to non-technical command leadership and to clinical and performance staff, in writing and in briefings.
- Collaborate with embedded clinical and performance staff to identify opportunities for capturing data and improving the quality of input into Government systems.
- Maintain rigorous data quality, security, and privacy controls, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, in all analytic work.
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
#MilitaryHealthGDITJobs
The likely salary range for this position is $72,877 - $98,599. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40Work Location:
USA FL Hurlburt Field - 229 Cody Ave (FLC017)Additional Work Locations:
Location & Eligibility
Listing Details
- Posted
- October 6, 2026
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 6, 2026
Signal breakdown
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