26,020 Nlp Specialist jobs in the United States

• 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

• 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

• 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, with 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

• Experience in consulting or client-facing technical roles
• Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis)
• Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML)
• Open-source contributions to major ML/NLP libraries

• 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
• 401k 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)

• Client Needs Assessment:
• Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.
• nalyze existing data entry workflows and propose automation opportunities.

• Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.
• Collaborate with clients to define project scopes and objectives.

• Evaluate and recommend AI technologies, focusing on OCR, NLP, LLM and machine learning.
• Ensure seamless integration with existing systems and workflows.

• Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.
• Conduct rigorous testing to ensure accuracy and reliability.

• Work closely with clients and IT teams to integrate AI solutions effectively.
• Provide technical support during the implementation phase.

• Develop training materials for end-users and support staff.
• Create comprehensive documentation for implemented solutions.

• Monitor and optimize the performance of deployed solutions.
• Identify opportunities for further automation and improvement.

• dvanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).
• Proven experience in developing and implementing AI solutions for data entry automation.
• Expertise in OCR, NLP, LLM and other machine learning techniques.
• Strong programming skills, especially in Python.
• Familiarity with healthcare data privacy and regulatory requirements.

• PhD in Computer Science, Information Science, or other related STEM disciplines with extensive research on natural language processing, deep learning, knowledge graph, reasoning, OR Master's Degree in the same areas above with 10 years relevant professional experience
• Deep understanding and knowledge of natural language processing, Large Language Model, deep learning, machine learning, knowledge graph, reasoning
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Solid verbal communication, presentation, and business/industry/scientific technical writing skills with an ability to explain complex data science, statistics, and computer science concepts clearly for a nontechnical audience; comfortable interacting with various levels of management from different functions
• Proficiency in information design with the ability to present and visualize data to foster efficient and effective understanding of the information.
• Experience and knowledge in information retrieval, questing answering, deep learning and Large Language Model technologies

• Manage and guide the AI model developments with Large Language Model, natural language processing, knowledge graph development, data science and data engineering elements of AI projects
• Set a strategic direction for model development, knowledge graph development, data identification, collection and qualification activities
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences

Join to apply for the Principal Data Scientist--Natural Language Processing role at Fidelity Investments

2 days ago Be among the first 25 applicants

Join to apply for the Principal Data Scientist--Natural Language Processing role at Fidelity Investments

JOB TITLE

Principal Data Scientist Natural Language Processing

Fidelity Workplace Investing is seeking for Data Scientists with experience in natural language processing, large language model, machine learning, knowledge graph. This position will be based full time in Boston, MA.

Job Description

JOB TITLE

Principal Data Scientist Natural Language Processing

Fidelity Workplace Investing is seeking for Data Scientists with experience in natural language processing, large language model, machine learning, knowledge graph. This position will be based full time in Boston, MA.

The Purpose of Your Role

This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to develop AI-based solutions by developing advanced AI models and technologies with Natural Language Processing(NLP), Large Language Model(LLM) and Machine Learning(ML), and developing Knowledge Graph to enable high performance of the AI models. Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include model development with NLP, LLM and ML technologies, gathering data from multiple sources, data processing and analysis, knowledge graph development, unstructured data analysis, predictive and prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise.

The Skills You Bring

• PhD in Computer Science, Information Science, or other related STEM disciplines with extensive research on natural language processing, deep learning, knowledge graph, reasoning, OR Masters Degree in the same areas above with 10 years relevant professional experience
• Deep understanding and knowledge of natural language processing, Large Language Model, deep learning, machine learning, knowledge graph, reasoning
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Solid verbal communication, presentation, and business/industry/scientific technical writing skills with an ability to explain complex data science, statistics, and computer science concepts clearly for a nontechnical audience; comfortable interacting with various levels of management from different functions
• Proficiency in information design with the ability to present and visualize data to foster efficient and effective understanding of the information.
• Experience and knowledge in information retrieval, questing answering, deep learning and Large Language Model technologies
  
  

• Manage and guide the AI model developments with Large Language Model, natural language processing, knowledge graph development, data science and data engineering elements of AI projects
• Set a strategic direction for model development, knowledge graph development, data identification, collection and qualification activities
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Fidelity Investments by 2x

Get notified about new Data Scientist jobs in Boston, MA .

Medford, MA $110,000.00-$125,000.00 6 days ago

Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Description

• Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability
• Leverage state-of-the-art theory and technologies to solve complex problems
• Establish and leverage Big Data frameworks to store, extract and analyze relevant data
• Develop software solutions by understanding customer requirements and program intent
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
• Be responsible for solutions that meet software design, quality, and performance requirements
• Work with minimal supervision in a collaborative work environment to implement best-in-class solutions

• Bachelor’s Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master’s Degree in Data Science or other technical field highly preferred
• 3+ years of experience in predictive modeling, data science and analysis

• Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities
• Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks
• Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms
• In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE)
• Strong proficiency in Python
• Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc.
• Knowledge of data and information visualization principles and experience using related tools

• Strong software engineering background
• Skills with other programming languages, such as Julia, Java or C/C++
• Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Experience with application container platforms
• Familiarity with continuous integration/delivery tools (e.g. Jenkins)
• Familiarity with version control tools (e.g. Subversion, Git, etc.)
• Familiarity with VMware or other virtualization software
• Experience developing applications for DOD command and control systems
• Familiarity with Large Language Models (LLM) and LLM parameter tuning
• Familiarity with network science and graph theory

• Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive
• Attention to detail
• Strong sense of intellectual curiosity and desire to learn
• Initiative, creativity, reliability, teamwork
• Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment

Description

• Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability
• Leverage state-of-the-art theory and technologies to solve complex problems
• Establish and leverage Big Data frameworks to store, extract and analyze relevant data
• Develop software solutions by understanding customer requirements and program intent
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
• Be responsible for solutions that meet software design, quality, and performance requirements
• Work with minimal supervision in a collaborative work environment to implement best-in-class solutions

• Bachelor’s Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master’s Degree in Data Science or other technical field highly preferred
• 3+ years of experience in predictive modeling, data science and analysis

• Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities
• Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks
• Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms
• In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE)
• Strong proficiency in Python
• Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc.
• Knowledge of data and information visualization principles and experience using related tools

• Strong software engineering background
• Skills with other programming languages, such as Julia, Java or C/C++
• Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Experience with application container platforms
• Familiarity with continuous integration/delivery tools (e.g. Jenkins)
• Familiarity with version control tools (e.g. Subversion, Git, etc.)
• Familiarity with VMware or other virtualization software
• Experience developing applications for DOD command and control systems
• Familiarity with Large Language Models (LLM) and LLM parameter tuning
• Familiarity with network science and graph theory

• Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive
• Attention to detail
• Strong sense of intellectual curiosity and desire to learn
• Initiative, creativity, reliability, teamwork
• Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment

Job DescriptionJob DescriptionONSITE

Who We Are : Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).

SimIS is currently recruiting for the listed position and is contingent upon award.

Job Description:
SimIS, Inc seeks a skilled and experienced Data Scientist/ Artificial Intelligence (AI) Engineer to design and develop integration architectures to effectively integrate AI solutions into NATO’s wargaming and digital infrastructures and workflows. ACT is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance military relevance and effectiveness of the Alliance. Data Exploitation and AI are essential elements of NATO’s digital transformation, enabling faster, data-driven decision-making and operational efficiency. These technologies are crucial for building a more adaptive and responsive NATO, prepared to meet the challenges of Multi-Domain Operations (MDO) and a rapidly evolving security landscape.   

Experience Required:

• 5+ years of experience integrating AI technologies into practical applications, particularly in decision-support, simulations, strategic planning, or operational analysis.
• 5 years’ experience in data collection, analysis, and visualization for scenario modelling, or AI-driven decision-support.
• Contribute to the integration of AI in NATO’s warfare development efforts; collaborate with wargaming experts to identify key areas for AI enhancement.
• Proven ability to design and apply AI solutions in dynamic environments, demonstrating adaptability, critical thinking, and problem-solving in AI deployment.
• Experience using generative AI models, in particular Large Models (LLMs), for simulations, decision-support, or interactive environments.
• Implement data collection and analysis methods for wargaming datasets.
• Develop real-time analytics and visualizations to support decision-making during wargaming simulations.
• Support human-machine teaming by integrating AI tools for enhanced collaboration.

Special Skills/Knowledge/Training Required:

• Master’s Degree or higher in AI/ML/Data Science with Experience. BS Degree with significant data engineering experience will be considered.

• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI integration techniques (e.g., API deployment, model fine-tuning, reinforcement learning).

Benefits:

• Medical, Dental, and Vision  
• Short Term (at no cost to you) and Long Term
• Life Insurance  
• 401(k) Savings Plan 
• Flex Spending Accounts (FSA) 
• Tuition Assistance Program 
• Professional Development 
• Paid Time Off (PTO)  
• 11 Federal Holidays each year  

 SimIS, Inc. is an EOE / M / F / / VET / Drug Free Employer
 

Powered by JazzHR

Xs3wRBAJEp

ONSITE

Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).

SimIS is currently recruiting for the listed position and is contingent upon award.

Job Description:

SimIS, Inc seeks a skilled and experienced Data Scientist/ Artificial Intelligence (AI) Engineer to design and develop integration architectures to effectively integrate AI solutions into NATO’s wargaming and digital infrastructures and workflows. ACT is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance military relevance and effectiveness of the Alliance. Data Exploitation and AI are essential elements of NATO’s digital transformation, enabling faster, data-driven decision-making and operational efficiency. These technologies are crucial for building a more adaptive and responsive NATO, prepared to meet the challenges of Multi-Domain Operations (MDO) and a rapidly evolving security landscape.   

Experience Required:

• 5+ years of experience integrating AI technologies into practical applications, particularly in decision-support, simulations, strategic planning, or operational analysis.

• 5 years’ experience in data collection, analysis, and visualization for scenario modelling, or AI-driven decision-support.

• Contribute to the integration of AI in NATO’s warfare development efforts; collaborate with wargaming experts to identify key areas for AI enhancement.

• Proven ability to design and apply AI solutions in dynamic environments, demonstrating adaptability, critical thinking, and problem-solving in AI deployment.

• Experience using generative AI models, in particular Large Language Models (LLMs), for simulations, decision-support, or interactive environments.

• Implement data collection and analysis methods for wargaming datasets.

• Develop real-time analytics and visualizations to support decision-making during wargaming simulations.

• Support human-machine teaming by integrating AI tools for enhanced collaboration.

Special Skills/Knowledge/Training Required:

• Master’s Degree or higher in AI/ML/Data Science with Experience. BS Degree with significant data engineering experience will be considered.

• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI integration techniques (e.g., API deployment, model fine-tuning, reinforcement learning).

Benefits:

• Medical, Dental, and Vision  

• Short Term Disability (at no cost to you) and Long Term Disability

• Life Insurance  

• 401(k) Savings Plan 

• Flex Spending Accounts (FSA) 

• Tuition Assistance Program 

• Professional Development 

• Paid Time Off (PTO)  

• 11 Federal Holidays each year  

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

Powered by JazzHR