GDIT

Data Scientist

USA new gradAI/ML/DataPosted 11 days ago

Location: USA
Type: USA new grad

About this role

From GDIT’s careers page.

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Analysis, Data Analytics, Data Science, Data Visualization, Statistics

Certifications:

None

Experience:

0 + years of related experience

US Citizenship Required:

Yes

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.

HOW DATA SCIENTIST WILL MAKE AN IMPACT:

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.

WHAT YOU’LL NEED TO SUCCEED:

EDUCATION: Bachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration, with documented coursework or professional application in statistics, programming, and quantitative analysis.

Minimum of one (1) year of experience applying data science or statistical methods to real-world problems. A Bachelor’s degree program that included documented internship, cooperative-education, capstone, thesis, or project work applying data science methods to real-world data satisfies this requirement.
Demonstrated proficiency in Python or R for data analysis, statistical modeling, and machine learning, and in SQL for querying relational data, demonstrated through professional work experience or degree-program projects.
Working knowledge of applied statistics and of supervised and unsupervised machine-learning methods.
Ability to prepare and clean data for analysis, including familiarity with data engineering concepts (ETL/ELT, data modeling basics, reproducible workflows, and version control with Git).
Experience producing visual analytics and reports for decision-makers (Power BI preferred).
Ability to communicate clearly with stakeholders and translate mission needs into analytical questions and outputs.

PREFERRED QUALIFICATIONS:

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.

LOCATION: Various CONUS SITES

CLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.

This is a contingent posting, expected to start in 2027.

GDIT IS YOUR PLACE:

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:

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA FL Hurlburt Field - 229 Cody Ave (FLC017)

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Apply nowOpens GDIT’s application page

About this role

From GDIT’s careers page.

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Analysis, Data Analytics, Data Science, Data Visualization, Statistics

Certifications:

None

Experience:

0 + years of related experience

US Citizenship Required:

Yes

Job Description:

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.

HOW DATA SCIENTIST WILL MAKE AN IMPACT:

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.

WHAT YOU’LL NEED TO SUCCEED:

Minimum of one (1) year of experience applying data science or statistical methods to real-world problems. A Bachelor’s degree program that included documented internship, cooperative-education, capstone, thesis, or project work applying data science methods to real-world data satisfies this requirement.
Demonstrated proficiency in Python or R for data analysis, statistical modeling, and machine learning, and in SQL for querying relational data, demonstrated through professional work experience or degree-program projects.
Working knowledge of applied statistics and of supervised and unsupervised machine-learning methods.
Ability to prepare and clean data for analysis, including familiarity with data engineering concepts (ETL/ELT, data modeling basics, reproducible workflows, and version control with Git).
Experience producing visual analytics and reports for decision-makers (Power BI preferred).
Ability to communicate clearly with stakeholders and translate mission needs into analytical questions and outputs.

PREFERRED QUALIFICATIONS:

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.

LOCATION: Various CONUS SITES

CLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.

This is a contingent posting, expected to start in 2027.

GDIT IS YOUR PLACE:

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

Scheduled Weekly Hours:

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA FL Hurlburt Field - 229 Cody Ave (FLC017)

Additional Work Locations:

Total Rewards at GDIT:

Our Identity Verification Process:

About Our Work:

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans