Data Scientist in Annapolis Junction

What You’ll be Owning:

• We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of data from spoken or written sources. In this role, you will develop automated solutions for annotating data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality processing.

• Bachelor’s Degree with 10 years of relevant experience
• Associate’s Degree with 12 years of relevant experience
• Bachelor’s Degree must be in Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related field such as Computer Information Systems, Engineering, physics, chemistry, biology, astronomy, or other science disciplines with a substantial computational component. A Certificate in Data Science from an accredited college or university may also be considered.
• Relevant experience must include designing and implementing machine learning, data science, advanced analytical algorithms, or software engineering. Specific skills in at least one high-level programming language such as Python, statistical analysis, data management, data mining, and artificial intelligence are required.
• Active TS/SCI with polygraph clearance.

• Employ some combination of the following skill areas:
• Foundations:
  Mathematical, Computational, Statistical
• Data Processing:
  Data management and curation, data description and visualization, workflow and reproducibility
• Modeling, Inference, and Prediction:
  Data modeling and assessment, domain-specific considerations
• Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and other scientific methods, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  
  Translate practical mission needs and analytic questions related to large datasets into technical requirements, and assist others with drawing appropriate conclusions from the analysis. Effectively communicate complex technical information to non‑technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage, and analytic capabilities and limitations.

At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We are proud to offer a work environment that empowers our team to achieve a strong work‑life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well‑being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Pay Range: $155,000 - $185,000 USD

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual paid time off and paid holidays
• Paid parental leave
• 401k with generous company match
• Training and development opportunities
• Award programs
• Variety of company-sponsored events

GRVTY is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law.

Anyone requiring reasonable accommodations should email  or call  with requested details. A member of the HR team will respond to your request within two business days.