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Senior Data Scientist Nlp Jobs (NOW HIRING)

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$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 ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ...

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 ...

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Senior Data Scientist Nlp information

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$41.5K

$142.5K

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How much do senior data scientist nlp jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior data scientist nlp in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Senior Data Scientists often focus on identifying the most impactful variables or data subsets to optimize model performance and reduce complexity.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist NLP, and why are they important?

To thrive as a Senior Data Scientist NLP, you need deep expertise in machine learning, statistics, and natural language processing, typically supported by an advanced degree in computer science or a related field. Proficiency in Python, NLP libraries (such as spaCy, NLTK, or Hugging Face Transformers), and experience with cloud platforms and data engineering tools are crucial. Strong communication, problem-solving skills, and the ability to mentor junior team members help you excel in collaborative and innovative environments. These skills ensure you can design robust NLP models, drive impactful projects, and effectively translate complex insights into business value.

What are some common challenges Senior Data Scientists specializing in NLP face when deploying models to production environments?

Senior Data Scientists working in NLP often encounter challenges when moving models from research to production, such as handling large-scale, real-world data variability, ensuring model robustness against edge cases, and managing computational efficiency for low-latency applications. Another common hurdle is integrating NLP models with existing data pipelines and collaborating cross-functionally with engineering and product teams to ensure successful deployment. Staying updated with rapid advancements in NLP frameworks and maintaining model performance over time as language evolves are also key aspects of the role.

Do data scientists use NLP?

Yes, data scientists, including senior NLP specialists, frequently use natural language processing (NLP) techniques to analyze and interpret text data. They apply tools like Python libraries (e.g., NLTK, spaCy) and machine learning models to develop solutions such as chatbots, sentiment analysis, and language understanding systems.

What does a Senior Data Scientist specializing in NLP do?

A Senior Data Scientist specializing in Natural Language Processing (NLP) leads the design, development, and implementation of advanced algorithms and models that process and analyze human language data. They work with large datasets to extract insights, build machine learning models for tasks such as text classification, sentiment analysis, or language generation, and often mentor junior data scientists. Additionally, they collaborate with cross-functional teams to integrate NLP solutions into products and ensure the scalability and performance of deployed models.

What is the salary of NLP data scientist?

The salary of a Senior Data Scientist specializing in NLP typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, deep learning, and NLP tools like Python, TensorFlow, or PyTorch can influence compensation levels.

Is NLP in high demand?

NLP (Natural Language Processing) is in high demand across industries such as technology, healthcare, and finance, driven by the need for automation, chatbots, and data analysis. Senior Data Scientists with NLP skills, including experience with tools like Python, TensorFlow, or spaCy, are sought after for their ability to develop advanced language models and improve AI applications.

What is the difference between Senior Data Scientist Nlp vs Data Scientist?

AspectSenior Data Scientist NlpData Scientist
Required CredentialsMaster's or PhD in CS, Data Science, or related field; experience with NLP toolsBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentTech companies, research labs, industries applying NLPVarious industries including finance, healthcare, tech
Employer & Industry UsageUsed in companies focusing on language processing, AI, and machine learningBroader role across multiple data-driven sectors
Common Search & Comparison IntentUnderstanding advanced NLP roles and responsibilitiesGeneral data analysis and modeling roles

Senior Data Scientist Nlp specializes in advanced natural language processing techniques, often requiring specialized skills and experience. Data Scientist roles are broader, covering various data analysis tasks across industries. The senior NLP role typically involves more complex projects, whereas Data Scientists may focus on general data modeling and insights.

More about Senior Data Scientist Nlp jobs
What cities are hiring for Senior Data Scientist Nlp jobs? Cities with the most Senior 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:
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What job categories do people searching Senior Data Scientist Nlp jobs look for? The top searched job categories for Senior Data Scientist Nlp jobs are:
Senior Data Scientist Nlp jobs near you
Infographic showing various Senior 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 $142,460 per year, or $68.5 per hour.

Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Irving, TX • On-site

Full-time

Re-posted 25 days ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services

Job description

Job Summary:
Morgan Stanley is a global leader in financial services, and they are seeking a Senior Data Scientist (NLP Specialist) to join their Non-Financial Risk team. This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring.
Responsibilities:
• Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
• Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
• Conduct research to identify novel methods for enhancing analytical solutions.
• Lead and develop junior data scientists to achieve key business objectives
• Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities
• Champion innovative approaches to improve detection of suspicious activity.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
• 10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
• Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
• Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
• Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
• Strong problem solving and time management skills
• Excellent written and oral communication skills
• Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
• Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
• Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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