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Data Scientist Nlp Jobs (NOW HIRING)

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX Roles & Responsibilities : - Design, build, fine-tune, and deploy LLMs, transformer-based NLP models ...

Apex Informatics

Data Scientist

Addison, TX · On-site

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

Atleast 5 years python (or equivalent) programming experience to work with ML/NLP models ... Data scientist, Secondary skills: Artificial intelligence/Machine learning.

Hirevouch

Senior AI Research Scientist (NLP)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Design, implement and use evaluation pipelines, including data annotation, scripting and automation.

hireVouch

Senior AI Research Scientist (NLP)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Design, implement and use evaluation pipelines, including data annotation, scripting and automation.

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data ... Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit ...

Purple Drive Technologies

Data Scientist

Pleasanton, CA · On-site

We are seeking a Senior Data Scientist with strong expertise in developing marketing models and Natural Language Processing (NLP) solutions. This role will focus on leveraging data-driven insights to ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107K - $186K/yr

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... S. Develop and deploy Natural Language Processing (NLP) models to extract insights from ...

MM International

Data scientist

Charlotte, NC · On-site

Role: Data scientist Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite ... Required Qualifications Strong experience in Machine Learning, NLP, Deep Learning, Statistical ...

Advent Services LLC

Data Scientist

Washington, DC · On-site

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Experience with natural language processing (NLP), machine learning, and data visualization.

Futran Tech Solutions Pvt. Ltd.

Data Scientist

Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI). * The ideal candidate will have hands-on experience with ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site +1

Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly skilled Data Scientist (37 years of experience) to join our team and work across two major data science ...

Lincare

Data Scientist

Clearwater, FL · On-site

The Data Scientist will lead and support various analytical projects, utilizing machine learning, NLP, and other AI technologies to derive actionable insights from complex data sets. Responsibilities ...

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Data Scientist Nlp information

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How much do data scientist nlp jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data scientist nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced by Data Scientist NLP professionals in their daily work?

Data Scientist NLP professionals often tackle projects involving text classification, sentiment analysis, entity recognition, machine translation, and language modeling using large datasets. They regularly address challenges such as cleaning and preprocessing noisy text data, tuning models for accuracy, and keeping up with rapidly evolving NLP techniques. Collaboration with data engineers, product managers, and subject matter experts is a key part of the role to ensure the developed models solve real business problems. This dynamic environment offers numerous opportunities to innovate and advance technically, especially as NLP technologies continue to mature.

What is a Data Scientist NLP job?

A Data Scientist specializing in Natural Language Processing (NLP) focuses on analyzing and interpreting human language using machine learning and computational techniques. They work with large text datasets to build models for tasks like sentiment analysis, text classification, language translation, and chatbot development. Their role involves data preprocessing, model training, evaluation, and deployment in real-world applications. Proficiency in NLP libraries such as spaCy, NLTK, and transformers, along with programming skills in Python, is essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Nlp position, and why are they important?

To thrive as a Data Scientist NLP, you need a strong background in statistics, machine learning, and natural language processing, often supported by an advanced degree in computer science, data science, or a related field. Experience with languages and tools such as Python, TensorFlow, PyTorch, spaCy, and relevant NLP libraries, along with familiarity with cloud platforms, is highly valuable. Excellent problem-solving, communication skills, and the ability to distill complex information for non-technical audiences make a candidate stand out. These competencies are crucial to building effective language models and delivering actionable insights from large volumes of unstructured data in real-world business contexts.

More about Data Scientist Nlp jobs
What cities are hiring for Data Scientist Nlp jobs? Cities with the most Data Scientist Nlp job openings:
What are the most commonly searched types of Data Scientist Nlp jobs? The most popular types of Data Scientist Nlp jobs are:
What states have the most Data Scientist Nlp jobs? States with the most job openings for Data Scientist Nlp jobs include:
What job categories do people searching Data Scientist Nlp jobs look for? The top searched job categories for Data Scientist Nlp jobs are:
Data Scientist Nlp jobs near you
Infographic showing various Data Scientist Nlp job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 10% Full Time, 3% Part Time, 79% Contract, and 7% Nights. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (AI/NLP)

Davis Polk and Wardwell LLP

New York, NY • On-site

$200K - $240K/yr

Full-time

Posted 3 days ago

Job description

Davis Polk & Wardwell LLP (including its associated entities) is an elite global law firm with world-class practices across the board. Clients know they can rely on Davis Polk for their most challenging legal and business matters. From offices in the world's key financial centers and political capitals, our more than 1,000 lawyers collaborate seamlessly to deliver exceptional service, sophisticated advice and creative, practical solutions. Visit davispolk.com.
Position Summary
We are seeking a talented and driven Data Scientist (AI/NLP). to join our technology team. This is a high-impact, cross-functional role at the intersection of data science, artificial intelligence, and legal operations. You will develop and deploy advanced NLP and machine learning solutions that transform how the firm manages, retrieves, and leverages its institutional knowledge and legal documents.
This position partners closely with attorneys, legal professionals, and firm leadership to identify opportunities where AI and data science can deliver measurable value - from automating document workflows to building intelligent knowledge management systems.
Essential Duties and Responsibilities
  • Design, develop, and deploy machine learning and NLP models to support document understanding, contract analysis, legal research, and knowledge extraction
  • Build and maintain intelligent knowledge management systems that organize, surface, and operationalize the firm's institutional knowledge and precedent library
  • Apply state-of-the-art large language models (LLMs) and generative AI tools to legal workflows, including document classification, summarization, entity extraction, and semantic search
  • Partner with attorneys and business professionals to translate complex legal requirements into structured data science solutions
  • Write clean, production-quality code and build scalable data pipelines that integrate with firm systems and infrastructure
  • Evaluate, implement, and continuously improve AI/ML tools, frameworks, and vendor solutions relevant to the legal industry
  • Define and track model performance metrics, communicate results clearly to both technical teams and business stakeholders, and drive iterative model improvement
  • Present findings, model outputs, and project updates clearly to both technical and non-technical stakeholders
  • Contribute to the firm's AI strategy and governance by staying current on developments in legal AI, data privacy, and responsible use of AI
  • Collaborate with IT infrastructure, security, and application teams to ensure solutions meet firm standards for reliability, security, and compliance

Qualifications/Position Requirements
  • Direct experience working in a law firm, legal technology company, or enterprise NLP environment
  • Deep expertise in Natural Language Processing (NLP) - including text classification, named entity recognition, semantic similarity, summarization, and document parsing
  • Hands-on experience with LLMs and transformer-based architectures (e.g., GPT, BERT, or similar) and proficiency in Hugging Face and LangChain frameworks
  • Strong proficiency in Python and relevant ML/data science libraries (scikit-learn, PyTorch, spaCy, etc.)
  • Experience building and deploying end-to-end machine learning pipelines in production environments
  • Solid understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) architectures
  • Experience defining and tracking model performance metrics (e.g., precision, recall, F1, ROUGE) to evaluate and communicate model effectiveness to technical and non-technical audiences
  • Demonstrated ability to manage and process large, unstructured datasets
  • Familiarity with at least one major cloud platform (Azure, AWS, or GCP)
  • Excellent communication skills with the ability to work across technical and non-technical teams
  • Strong analytical and problem-solving ability with a rigorous, detail-oriented approach

Education and/or Experience
  • Bachelor's or Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, or a related quantitative field
  • 5-7 years of experience in data science, machine learning, or AI engineering roles

Compensation
The expected base salary for this position ranges from $200,000-240,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, anticipated assignment, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. Davis Polk offers a competitive salary and comprehensive benefits package.

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