Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being of U.S. citizens.
Job DescriptionGDIT 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.
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.
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