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Senior Data Scientist Nlp Jobs (NOW HIRING)

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 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 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 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 ...

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Senior Data Scientist Nlp information

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$41.5K

$142.5K

$201K

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

As of Aug 8, 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 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 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.

What does a senior data scientist 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 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:
What states have the most Senior Data Scientist Nlp jobs? States with the most job openings for Senior Data Scientist Nlp jobs include:
Infographic showing various Senior Data Scientist Nlp job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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/LLM Specialist

SupportFinity™

Manhattan, NY • On-site

$155 - $240/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Senior Data Scientist - NLP/LLM Specialist

Allison Worldwide | Posted Mar 13

Apply

Full-time

New York

Unknown

We are seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join our consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries.

Ideal Candidate Profile: You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end‑to‑end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting‑edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential.

Responsibilities
  • Lead client workshops and discovery sessions to identify NLP opportunities
  • Develop and present technical proposals to C‑level executives
  • Manage multiple client projects simultaneously while maintaining quality and timelines
  • Design and implement novel NLP solutions for complex business problems
  • Architect scalable solutions for processing and analyzing large text corpora
  • Build custom language models tailored to each client's unique industry challenges
  • Automate repetitive analytical tasks and develop reusable algorithmic frameworks
  • Mentor junior data scientists and provide technical guidance on NLP projects
  • Develop automated content analysis, document processing, and customer insight systems
  • Create scalable text analytics platforms that drive measurable business outcomes
  • Work across retail, finance, healthcare, and media sectors
  • Translate complex AI capabilities into clear business value propositions
Technical Environment
  • Languages: Python (primary), R, SQL, potentially C++ for optimization
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
  • Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure)
  • Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases
Qualifications
  • PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field
  • Minimum 5 years of professional experience in data science, machine learning, or related roles
  • Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques
  • Large Language Model proficiency: Hands‑on experience with LLM fine‑tuning, prompt engineering, RLHF, and deployment at scale
  • Programming mastery: Expert‑level Python, strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem
  • MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments
  • Experience writing production code and ensuring well‑managed software delivery
  • Experience with foundation models (GPT, BERT, T5, LLaMA, etc.)
  • Knowledge of retrieval‑augmented generation (RAG) systems
  • Understanding of model compression techniques (quantization, distillation, pruning)
  • Experience with evaluation metrics and benchmarking for language models
Preferred
  • Experience in consulting or client‑facing technical roles
  • Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis)
  • Cloud platform expertise (AWS SageMaker, GCP AI, Azure ML)
  • Open‑source contributions to major ML/NLP libraries
Benefits
  • Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks
  • Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance)
  • Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays)
  • Four‑week sabbatical every five consecutive years of employment
  • Exceptional parental leave benefits
  • Global mentorship and networking programs
  • Monthly cell phone reimbursement
  • 401(k) savings and employee stock purchase plan
  • Volunteer hours (20 hours annually) for designated non‑profit partner and personal choice
  • Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee)
  • Career growth opportunities, such as Allison University (multi‑day customized trainings for each level)
Equal Opportunities

Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.

In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k‑$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401(k) program and comprehensive benefits plan. Additional perks and benefits include a month‑long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.

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