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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 ...

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.

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.

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 ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Job Title: Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and ... Build NLP solutions and advanced analytics models. * Work with cross-functional teams to solve ...

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How much do data scientist nlp jobs pay per year?

As of Jul 23, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Sr Data Scientist GenAI

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Posted 16 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • 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, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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