Data Scientist 3

Support an NLP program focused on accurate and automatic tokenization of spoken or written language data.

Responsibilities

• Develop automated solutions to annotate language data with parts of speech information
• Enhance existing models by evaluating performance against human-generated annotations for both speech and text

Requirements

• 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, Applied Statistics
  • Machine learning, Data Science, Operations Research, or Computer Science
  • Computer Information Systems, Engineering
  • Physical/hard sciences (e.g., physics, chemistry, biology, astronomy)
  • Other science disciplines with substantial computational component (including behavioral, social, or life), if coursework included a concentration of computational study (coursework detail truncated in source)
• Relevant experience must include designing/implementing areas such as:
  • Machine learning, data science, advanced analytical algorithms
  • Programming (including skill in at least one high-level language, e.g., Python)
  • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
  • Data management (data cleaning and transformation)
  • Data mining, data modeling and assessment
  • Artificial intelligence and/or software engineering
• Active TS/SCI with poly

Technologies

• Python

Benefits

• 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

What You’ll Be Owning

• Support an NLP project for accurate and automatic tokenization of language data from spoken or written sources
• Build automated parts-of-speech annotation for language datasets
• Evaluate and improve existing models using human-generated annotations for both speech and text
• Advance NLP capabilities while maintaining high-quality language processing (source text truncated)

What Would Be Nice to Have

• Demonstrate some combination (2 or more) of:
  • 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

Location: Annapolis Junction, MD (onsite) • Compensation: USD 131,000 - 161,000 per yearly • Experience level: 10+ years