Data Scientist - TS/SCI with Polygraph

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions. Also remove things like "#WeAreGDIT #JET #GDITEnhanced2026 #VA_2026Alumni". Also remove "Our Identity Verification Process" maybe considered boilerplate? It's about hiring process, maybe not needed? It's not a standard section; but it's not about job duties. Likely we should drop it as it's not part of job description. Also drop "About Our Work" maybe considered boilerplate? It's about company description; could be considered "About the role"? Might be okay to include as "About the role" content. But we need to decide. We need sections: About the role (maybe from first paragraph: "Deliver insights to help our clients turn data into action as a Data Scientist at GDIT..."). Responsibilities: maybe from "WHAT YOU'LL NEED TO SUCCEED:"? Actually that's requirements. Responsibilities could be the duties: "Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission." etc. Could list bullet points. Requirements/Qualifications: Education, Experience, Required skills, Desired skills, Security Clearance, US Citizenship, Location. Skills: maybe list required and desired skills. Benefits: from "GDIT IS YOUR PLACE:" and "Total Rewards At GDIT:" etc. Pay: salary range. Schedule: Scheduled Weekly Hours: 40, Travel Required: Less than 10%, Telecommuting Options: Onsite Work Location. We must not create sections with placeholder text. All content must be present. We must not repeat job title. Must not include Job ID etc. We must not include duplicated lines. We need to output only HTML fragment. Let's extract content. Original text: "Job Description: Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able To Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Skills: Job Qualifications: Artificial Intelligence (AI), Cloud Infrastructure, Digital Forensics Certifications: None Experience: 15 + years of related experience US Citizenship Required: Yes Job Description: Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Scientist joining our team. WHAT YOU'LL NEED TO SUCCEED: Education: BA/BS in Information Technology or related fieldExperience: 15+ yearsRequired skills:Demonstrated experience providing system engineering support of integration, coordination, and documentation of new COTS capabilities into a customer's environmentDemonstrated experience providing data science support of evaluation of new Al/ML capabilities into a customer's environmentDemonstrated experience supporting and developing systems leveraging cloud services and cloud infrastructureDemonstrated experience conducing forensics of multimedia (images, videos, and audio)Demonstrated experience with current deepfake creation and detection methodsDesired skills:Demonstrated project management experienceDemonstrated experience using MS TeamsDemonstrated experience supporting lifecycle processes related to publicly available information collected to address a specific requirement.Demonstrated experience with existing Sponsor environment relating to the collection and processing of publicly available information.Demonstrated experience with AWS Cloud servicesDemonstrated experience with LinuxSecurity Clearance Level: TS/SCI with Polygraph.Location: Chantilly, On Customer SiteUS Citizenship Required GDIT IS YOUR PLACE: 401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays #WeAreGDIT #JET #GDITEnhanced2026 #VA_2026Alumni The likely salary range for this position is $225,250 - $304,750. 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: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA VA Chantilly 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. 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" We need to strip boilerplate: "Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans", "Our Identity Verification Process", maybe also "About Our Work". But "About Our Work" could be considered "About the role" content? It's generic company description; maybe we can include as part of About the role but it's not specific to role. The instruction: "Prefer a few substantive sections over many thin ones." So we could combine company description into About the role. We must not include sections with filler like "commensurate with experience". Not present. We need to output HTML. Let's craft sections:

About the role

Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Scientist joining our team.

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.

That seems okay.

Responsibilities

We could list bullet points: maybe from the description: "provide transformative solutions to our clients’ big-data obstacles", "help advance the mission", "make a meaningful impact", "ensure today is safe and tomorrow is smarter". But those are vague. Might be better to not create Responsibilities if it's too vague. However we have some specific duties from "WHAT YOU'LL NEED TO SUCCEED:" which are actually requirements, not responsibilities. The responsibilities could be derived from the job description: "Deliver insights to help our clients turn data into action", "Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission." That's it. We could still include Responsibilities with those two bullet points.

Requirements

We need to list Education, Experience, Required skills, Desired skills, Security Clearance, US Citizenship, Location. We can break into sub-sections? But only allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose to use Requirements and Qualifications separately or combine. The instruction: use headings for those sections if they have real content. We can have Requirements and Qualifications both if we have distinct content. But we could also just use Requirements to include education, experience, skills, clearance, citizenship, location. Qualifications maybe duplicate. Better to use Requirements for mandatory items, Qualifications for desired? But we have both required and desired skills. Could put required skills under Requirements, desired under Qualifications. Or we could use Skills section for skills. Let's think: The instruction says "Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Skills)." So we can choose any of those. We need to avoid thin sections. Let's propose: - About the role (company + role description) - Responsibilities (core duties) - Requirements (education, experience, citizenship, clearance, location) - Skills (required and desired skills) - Benefits (benefits list) - Pay (salary range) - Schedule (hours, travel, telecommuting) That seems reasonable. Now extract specifics. Education: BA/BS in Information Technology or related field Experience: 15+ years of related experience US Citizenship Required: Yes Security Clearance Level: TS/SCI with Polygraph Location: Chantilly, On Customer Site (also USA VA Chantilly). We'll note location: Chantilly, VA (On Customer Site). Now Required skills list: - Demonstrated experience providing system engineering support of integration, coordination, and documentation of new COTS capabilities into a customer's environment - Demonstrated experience providing data science support of evaluation of new AI/ML capabilities into a customer's environment - Demonstrated experience supporting and developing systems leveraging cloud services and cloud infrastructure - Demonstrated experience conducting forensics of multimedia (images, videos, and audio) (note typo "conducing" but we keep as is) - Demonstrated experience with current deepfake creation and detection methods Desired skills list: - Demonstrated project management experience - Demonstrated experience using MS Teams - Demonstrated experience supporting lifecycle processes related to publicly available information collected to address a specific requirement. - Demonstrated experience with existing Sponsor environment relating to the collection and processing of publicly available information. - Demonstrated experience with AWS Cloud services - Demonstrated experience with Linux We could combine required and desired under Skills section, maybe separate subheadings? But we cannot add extra headings beyond

. We could use

to separate required vs desired. Now Benefits