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Natural Language Processing Analyst Jobs in Texas

Data Science Engineer

Austin, TX ยท On-site

$113K - $136K/yr

... Natural Language Processing like named entity recognition, information extraction, and sentiment analysis โ€ข Comfort working in a Unix environment Company : FreedomPay is a white label e-commerce ...

AI Engineer

Fort Worth, TX ยท On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

Houston, TX ยท On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

Dallas, TX ยท On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

San Antonio, TX ยท On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities. * Lead the ...

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities. * Lead the ...

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities.* Lead the development ...

Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities. * Lead the ...

Showing results 41-60

Natural Language Processing Analyst information

What is a natural language processing analyst?

A Natural Language Processing (NLP) Analyst is a professional who specializes in using computational techniques to analyze and interpret human language data. They work with large volumes of text or speech data to extract meaningful insights, build language models, and develop applications such as chatbots or sentiment analysis tools. NLP Analysts often collaborate with data scientists, linguists, and software engineers to improve language-based systems and enhance user interactions. Their work is essential in fields like artificial intelligence, customer service automation, and information retrieval.

How does a natural language processing analyst typically collaborate with cross-functional teams on projects?

Natural Language Processing Analysts often work closely with data scientists, software engineers, and product managers to design and implement language-based solutions. They may be responsible for translating project requirements into technical specifications, sharing insights from text data analysis, and ensuring that NLP models align with business objectives. Regular communication and teamwork are essential, as NLP Analysts provide expertise on linguistic challenges and help integrate their models into broader applications. This collaborative environment fosters both technical growth and a deep understanding of the business context.

What are the key skills and qualifications needed to thrive as a natural language processing analyst, and why are they important?

To thrive as a Natural Language Processing Analyst, you need a solid background in linguistics, statistics, and computer science, often supported by a degree in a related field and experience with NLP concepts. Proficiency with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, as is familiarity with data annotation and processing tools. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with cross-functional teams. These skills ensure accurate model development, efficient data handling, and the translation of complex findings into actionable insights for organizational success.

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

AspectNatural Language Processing AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related; often with advanced certifications
Work EnvironmentTech companies, research labs, or AI-focused teamsVarious industries including finance, healthcare, tech; broader scope
Employer & Industry UsagePrimarily in AI, NLP, and language-focused projectsAcross data-driven sectors, including analytics and machine learning
Common Search & Comparison IntentUnderstanding specific NLP roles vs broader data analysis roles

The Natural Language Processing Analyst specializes in developing and implementing NLP models to analyze language data, while a Data Scientist has a broader focus on analyzing various data types to inform business decisions. Both roles require strong technical skills, but NLP Analysts focus more on language-specific tasks within AI projects.

What cities in Texas are hiring for Natural Language Processing Analyst jobs?

Cities in Texas with the most Natural Language Processing Analyst job openings:

Data Science Engineer

Austin, TX โ€ข On-site

FreedomPay
IT Servicesย โ€ขย 11 - 50 employees

$113K - $136K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and enhance their product team. The role involves developing machine learning models, collaborating with various teams, and implementing these models in a production environment.
Responsibilities:
โ€ข Develop and improve upon machine learning models for a variety of tasks: e.g. company classification, funding and valuation prediction, company similarity
โ€ข Consult and develop data analytics pushes with product, marketing, and sales teams
โ€ข Write and communicate results and approaches both within and outside LeverDemo
โ€ข Implement machine learning models in a production environment
โ€ข Jump between data modeling, predictive modeling, data visualization, prototyping, and writing production code
Qualifications:
Required:
โ€ข BS/MS in Computer Science, Statistics, Mathematics, or equivalent
โ€ข Mastery of machine learning principles, from model specification to execution to validation
โ€ข Understanding of supervised and unsupervised methods like decision trees, support vector machines, and recommender systems
โ€ข Skill in Python, R, or similar statistical programming languages
โ€ข Experience with techniques in Natural Language Processing like named entity recognition, information extraction, and sentiment analysis
โ€ข Comfort working in a Unix environment
Company:
FreedomPay is a white label e-commerce platform for banks, retailers and healthcare organizations to deliver cloud-based user experiences. Founded in 2000, the company is headquartered in Radnor, USA, with a team of 501-1000 employees. The company is currently Late Stage.