Data Scientist 3

About the role

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language 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 language processing.

Responsibilities

• Possess 2 or more 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)
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Develop strategies for extracting meaning and value from large datasets
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• 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

Requirements

• Possess 2 or more 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)
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Develop strategies for extracting meaning and value from large datasets
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• 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

Qualifications

• Possess 2 or more 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)
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Develop strategies for extracting meaning and value from large datasets
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• 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

Skills

• Designing/implementing machine learning, data science, advanced analytical algorithms
• Programming (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 (e.g. data cleaning and transformation)
• Data mining
• Data modeling and assessment
• Artificial intelligence
• Software engineering

Benefits

• Comprehensive benefits package including health plan, HSAs, paid time off, parental leave, 401k with generous company match, training and development opportunities, award programs, and variety of company-sponsored events

Pay

Pay Range: 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’re 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.

Schedule

Not specified

Benefits

Colorado Pay Range $155,000—$185,000 USD