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Contractual Natural Language Processing Jobs in Washington

Pae

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

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Contractual Natural Language Processing information

What are some typical challenges faced by professionals working in contractual natural language processing roles?

Professionals in contractual NLP roles often encounter challenges such as quickly adapting to new project requirements, managing tight deadlines, and working with limited access to proprietary data or tools. Since contract positions may involve collaborating remotely with diverse teams, effective communication and self-motivation are crucial. Additionally, staying updated with the latest NLP techniques and ensuring high-quality deliverables despite project constraints are ongoing expectations. Successful contractors are proactive in clarifying client needs and flexible in adjusting to evolving priorities.

What is a contractual natural language processing specialist?

A Contractual Natural Language Processing (NLP) specialist is a professional who works on short-term or project-based contracts to develop, implement, and optimize systems that allow computers to understand and process human language. Their responsibilities often include building chatbots, developing text analytics tools, and improving machine translation systems. Unlike full-time employees, contractual NLP specialists typically work for a specific duration or on particular projects, offering flexibility to both employers and professionals. They usually possess expertise in linguistics, programming, and machine learning.

What are the key skills and qualifications needed to thrive as a contractual natural language processing specialist?

To thrive as a Contractual Natural Language Processing (NLP) Specialist, you need a strong background in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree or equivalent experience. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, and experience with cloud computing platforms, are commonly required; certifications in data science or cloud technologies can also be beneficial. Exceptional problem-solving skills, adaptability, and effective communication help specialists collaborate with diverse teams and clearly convey complex findings. These competencies ensure that NLP solutions are robust, scalable, and aligned with client objectives in dynamic project-based environments.

What is the difference between Contractual Natural Language Processing vs Data Scientist?

AspectContractual Natural Language ProcessingData Scientist
CredentialsTypically requires degrees in linguistics, computer science, or related fields; certifications in NLP toolsRequires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentOften project-based, working with NLP teams or vendors on language-specific tasksIn-house or consulting roles analyzing data, building models, and deriving insights
Industry UsageCommon in tech, legal, healthcare, and customer service sectors for language processing tasksUsed across industries for data analysis, predictive modeling, and decision support

Contractual Natural Language Processing specialists focus on language-specific tasks often on a contractual basis, while Data Scientists analyze data broadly to inform business decisions. Both roles require technical skills but differ in focus and work environment.

Is contractual natural language processing in demand?

Contractual natural language processing roles are in demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in NLP tools like Python, TensorFlow, and data annotation are highly valued, and the field offers opportunities for contract-based and project-specific work.
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Contractual Natural Language Processing jobs near you

AI/ML Subject Matter Expert (SME) / Analytics Team Lead

Nationwide IT Services, Inc

Arlington, VA • On-site

Full-time

Re-posted 22 days ago

Job description

AI/ML Subject Matter Expert (SME) / Analytics Team Lead
Active Secret clearance required.
100% on-site
Nationwide IT Services, NIS, is seeking an AI/ML Subject Matter Expert (SME) / Analytics Team Lead to provide technical leadership for the design, development, and implementation of advanced analytics, machine learning, and natural language processing solutions. This position leads the analytic team and serves as the primary expert in applying statistical, analytical, and AI/ML techniques to structured and unstructured data. The AI/ML SME works closely with stakeholders, developers, and data teams to deliver scalable, mission-focused analytical solutions that support operational and business objectives.
Key Responsibilities
  • Serve as the Analytics Team Lead and provide technical leadership for analytics, machine learning, and AI initiatives.
  • Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches.
  • Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data.
  • Use analytical and statistical programming languages such as Python, R, and SQL to perform data analysis, model development, and data manipulation.
  • Manipulate, transform, and analyze large and complex structured and unstructured datasets to support analytic objectives.
  • Develop data visualizations and analytical outputs that clearly communicate findings, trends, and recommendations to technical and non-technical stakeholders.
  • Collaborate with developers, database teams, and other technical staff to integrate AI/ML capabilities into enterprise applications and data environments.
  • Support data exploration, feature engineering, model evaluation, and performance improvement efforts.
  • Recommend and apply best practices for analytics, AI/ML development, and data handling.
  • Ensure analytic solutions are scalable, maintainable, and aligned with mission and enterprise needs.

Minimum Qualifications
  • 5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.
  • At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data.
  • 3+ years of experience with SQL database development and coding.
  • 2+ years of experience with data visualization tools.
  • 2+ years of experience manipulating unstructured data.

Preferred Qualifications
  • Educational background in Data Science or a related field is a plus.

Leadership Responsibilities
  • Lead and mentor the analytic team in the development and delivery of AI/ML and advanced analytics solutions.
  • Provide direction on model development, analytic methodologies, data usage, and technical best practices.
  • Coordinate analytic efforts with application, database, and infrastructure teams to support successful solution delivery.

Clearance Requirement
  • Active Secret clearance required.
Work Location
Work will be performed at DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government.Why Join Nationwide IT Services?
Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment.

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