Senior Data Scientist

Overview

GDIT is seeking Senior Data scientists for a federal client in Washington D.C. area.

• 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

• 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, Gov Cloud, 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 a global technology and professional services company delivering consulting, technology and mission services to U.S. government agencies. We offer a wide range of career opportunities and a variety of benefits. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

The likely salary range for this position is $147,292 - $199,278. This is not a guarantee of compensation; salary will be set based on experience, location, and contractual requirements and could fall outside of this range.

• Scheduled Weekly
  
  Hours:
  
  40
• Travel Required:
  
  None
• Telecommuting Options:
  Remote
• Work Location:
  
  USA DC Washington

Our benefits package for all US-based employees includes medical plan options (some with Health Savings Accounts), dental and vision plans, a 401(k) match, paid time off, and disability and life insurance options. We offer flexible work weeks where possible and a variety of leave options. Total Rewards are reviewed to reflect what employees value most.