Job Description
Responsibilities for this Position
Location: USA DC Home Office (DCHOME)
Full Part/Time: Full time
Job Req: RQ214489
Type of Requisition: Pipeline
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: Other
Job Family: Data Science and Data Engineering
Job Qualifications: Skills: AWS Big Data, Data Pipelines, Data Visualization, Machine Learning Algorithms
Certifications: None
Experience: 8 + years of related experience
US Citizenship Required: No
Job Description: GDIT is seeking Senior Data scientists for a federal client in Washington D.C. area.
MEANINGFUL WORK AND PERSONAL IMPACT
- Designing, building, and managing the infrastructure and tools needed to collect, store, process, and analyze large volumes of data
- Data Collection: Gathering data from various sources, such as databases, APIs, and Internet of Things (IoT) devices
- Data Storage: Using scalable storage solutions like data lakes and distributed file systems to handle vast amounts of data
- Data Processing: Transforming raw data into a usable format through batch processing (e.g., Hadoop) or real-time processing (e.g., Apache Kafka)
- Data Integration: Combining data from different sources to create a unified view
- Data Quality: Ensuring the accuracy, consistency, and reliability of data
- Data Security: Implementing measures to protect data from unauthorized access and breaches
- Data Pipeline Management: Automating and orchestrating data workflows to ensure smooth data flow from source to destination with subsequent training once pipelines are setup for any super-users
- Storing and analyzing large datasets utilizing advanced techniques such as statistical analysis, econometrics, Machine Learning (ML), and predictive modeling with multiple scripting options such as R, Python, SAS, Stata, and SQL
- Support of varying transfer methods (direct cloud upload, secure FTP, or physical media) from diverse sources (transactional DB, operational data stores, external SaaS, flat files, legacy mainframe)
- Preprocessing that may include decompression, deduplication, batch-based ingestion, near real time streaming
WHAT YOU'LL NEED TO SUCCEED
- Deep knowledge of big data and other COTS statistical and analytical tools (R, SAS, Stata and data lake tools), database management, and ETL processes
- Expertise in data architecture, data science tools, AI, and data lakes to facilitate successful project execution
- Strong background in statistics and mathematics, proficiency in programming (e.g., Python, Java), experience with machine learning algorithms, and data visualization tools (e.g., Tableau, Matplotlib)
- Comparative understanding of leading models (e.g., Claude Code, ChatGPT, xAI), including their capabilities, limitations, and trade-offs (e.g., latency, cost, fine-tuning, context window size)
- Experience deploying and managing LLMs in FedRAMP-authorized environments, including GCC, GovCloud, or other secure cloud infrastructures
- Current Certified Analytics Professional (CAP) Certification
- Current Principal Data Scientist (PDS) Certification
- Security clearance level: Candidates must be eligible to obtain a Public Trust level clearance.
- Ability to obtain and maintain a Public Trust or higher and authorization to work in the United States. Work visa sponsorship will not be provided for this position.
- US citizenship Preferred.
- Location: This is a remote position; however, prefer an individual who lives in the DC metro area.
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Flexibility: Full-flex work week to own your priorities at work and at home with customer approval
- Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
#GDIT
The likely salary range for this position is $147,292 - $199,278. 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: None
Telecommuting Options: Remote
Work Location: USA DC Home Office (DCHOME)
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.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 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 capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
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
PI282160079
GDIT is seeking Senior Data scientists for a federal client in Washington D.C. area.
MEANINGFUL WORK AND PERSONAL IMPACT
- Designing, building, and managing the infrastructure and tools needed to collect, store, process, and analyze large volumes of data
- Data Collection: Gathering data from various sources, such as databases, APIs, and Internet of Things (IoT) devices
- Data Storage: Using scalable storage solutions like data lakes and distributed file systems to handle vast amounts of data
- Data Processing: Transforming raw data into a usable format through batch processing (e.g., Hadoop) or real-time processing (e.g., Apache Kafka)
- Data Integration: Combining data from different sources to create a unified view
- Data Quality: Ensuring the accuracy, consistency, and reliability of data
- Data Security: Implementing measures to protect data from unauthorized access and breaches
- Data Pipeline Management: Automating and orchestrating data workflows to ensure smooth data flow from source to destination with subsequent training once pipelines are setup for any super-users
- Storing and analyzing large datasets utilizing advanced techniques such as statistical analysis, econometrics, Machine Learning (ML), and predictive modeling with multiple scripting options such as R, Python, SAS, Stata, and SQL
- Support of varying transfer methods (direct cloud upload, secure FTP, or physical media) from diverse sources (transactional DB, operational data stores, external SaaS, flat files, legacy mainframe)
- Preprocessing that may include decompression, deduplication, batch-based ingestion, near real time streaming
WHAT YOU'LL NEED TO SUCCEED
- Deep knowledge of big data and other COTS statistical and analytical tools (R, SAS, Stata and data lake tools), database management, and ETL processes
- Expertise in data architecture, data science tools, AI, and data lakes to facilitate successful project execution
- Strong background in statistics and mathematics, proficiency in programming (e.g., Python, Java), experience with machine learning algorithms, and data visualization tools (e.g., Tableau, Matplotlib)
- Comparative understanding of leading models (e.g., Claude Code, ChatGPT, xAI), including their capabilities, limitations, and trade-offs (e.g., latency, cost, fine-tuning, context window size)
- Experience deploying and managing LLMs in FedRAMP-authorized environments, including GCC, GovCloud, or other secure cloud infrastructures
- Current Certified Analytics Professional (CAP) Certification
- Current Principal Data Scientist (PDS) Certification
- Security clearance level: Candidates must be eligible to obtain a Public Trust level clearance.
- Ability to obtain and maintain a Public Trust or higher and authorization to work in the United States. Work visa sponsorship will not be provided for this position.
- US citizenship Preferred.
- Location: This is a remote position; however, prefer an individual who lives in the DC metro area.
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Flexibility: Full-flex work week to own your priorities at work and at home with customer approval
- Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
Job Tags
Full time, Temporary work, Immediate start, Remote work, Work from home, Worldwide, Flexible hours