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Data Scientist Nlp Jobs (NOW HIRING)

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 ...

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 ...

Advent Services

Data Scientist

Washington, DC · Remote

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

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.

Datum Software, Inc.

Data Scientist

Charlotte, NC · On-site

... NLP computer vision and recommendation systems Maintain compliance with security and governance ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

Advent Services LLC

Data Scientist

Washington, DC · On-site

... processing (NLP), machine learning, and data visualization. • Knowledge of SQL and database ... science. Desired Skills: • Familiarity with federal job classification standards and Office of ...

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 ...

Lincare

Data Scientist

Clearwater, FL · On-site

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... language processing (NLP) * large languagemodels (LLMs) and any other required AI skills

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and ...

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How much do data scientist nlp jobs pay per year?

As of Jun 8, 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.

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Data Scientist NLP jobs near you

Data Scientist with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Posted 17 days ago

Job description

Data Scientist (Elasticsearch-Focused) — Position Overview
We’re seeking a Senior Data Scientist / Data Team Lead to design, build, and deploy data science solutions powered by Elasticsearch for mission-focused analytic workflows. This role delivers end-to-end pipelines—from data ingestion and model development to production APIs and user-facing search experiences—supporting complex text, image, and video datasets. The ideal candidate blends strong DS fundamentals (NLP/ML/CV), production engineering habits (Docker/Linux/APIs), and hands-on experience building Elasticsearch-backed search and retrieval capabilities at scale.
Eligibility Requirement: Candidate must hold an active TS/SCI clearance. What You’ll Do
Elasticsearch Search, Retrieval & Analytics (Primary) Build and maintain Elasticsearch-backed search solutions that enable fast retrieval across large, shared repositories and mission datasets.
Implement pipelines that transform raw data into searchable content stores, supporting discovery across documents, structured data, and media (image/video/text).
Design and deliver search workflows including indexing, query experience, and access controls to support controlled data environments.
Integrate Elasticsearch with downstream analytics, dashboards, and applications to accelerate analyst productivity and decision-making. Applied Data Science (NLP + CV) Develop and deploy NLP pipelines for translation, topic modeling, sentiment, entity-focused analysis, and narrative monitoring.
Deliver computer vision capabilities such as detection/tracking, classification, segmentation, facial/attribute recognition, OCR, and re-identification—optimized for operational use.
Establish evaluation methods (precision/recall/F1) and optimize thresholds to reduce analyst review burden and improve triage. Production Delivery & Engineering Enablement Productionize models and analytics via APIs and services (e.g., FastAPI) and ship containerized solutions using Docker in Linux environments.
Build ingestion → preprocessing → inference → storage pipelines, with basic monitoring/alerting and deployment runbooks.
Collaborate with engineers to harden services, improve reliability, and ensure solutions meet compliance and release expectations. Technical Leadership & Execution (Lead-Level Expectations) Own delivery from project charter and requirements through deployment, including scope, roadmaps, stakeholder communications, and executive readouts.
Mentor junior data scientists, set coding/documentation standards, and enforce reproducible training and evaluation workflows.
Define success metrics (KPIs/OKRs) and drive continuous improvement in quality, throughput, and mission impact. Required Qualifications Active Top Secret Clearance
Strong hands-on experience as a Data Scientist delivering production solutions (not just research).
Demonstrated experience building Elasticsearch-backed search/retrieval capabilities, including indexing/search workflows and integrating search into applications.
Advanced proficiency in Python and working knowledge of SQL.
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and shipping models into production.
Solid experience in Linux environments (Ubuntu/WSL2) and containerization with Docker.
Experience integrating systems via APIs and version control (Git). Preferred Qualifications (Nice to Have) CV toolchains: OpenCV, YOLO/YOLOv8, DLIB, detection/tracking, segmentation, OCR, re-ID.
NLP/LLM experience: Transformers (BERT/RoBERTa), multilingual pipelines, RAG, LangChain/vector DB workflows.
Data platforms: Spark/pySpark, Databricks; exposure to AWS/Azure.
Visualization and reporting: Tableau, Power BI; ability to brief technical/non-technical stakeholders.
Experience leading teams/programs: backlog ownership, sprint ceremonies, requirements/acceptance criteria, and delivery governance.

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