1

Natural Language Processing Jobs in Arizona (NOW HIRING)

Data Scientist

Phoenix, AZ ยท On-site +1

$106K - $158K/yr

Conduct regression analysis, statistical analysis, modeling, machine learning, Natural Language Processing, time series forecasting, exploratory data analysis and data visualization. * Work in ...

... natural language processing, computer vision) and implement scalable AI solutions. โ€ข Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI ...

AI Data Engineer - Manager

Tempe, AZ ยท On-site

$109K - $131K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

next page

Showing results 1-20

Natural Language Processing information

See Arizona salary details

$13

$23

$45

How much do natural language processing jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for natural language processing in Arizona is $23.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $27.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.
What are the most commonly searched types of Natural Language Processing jobs in Arizona? The most popular types of Natural Language Processing jobs in Arizona are:
What are popular job titles related to Natural Language Processing jobs in Arizona? For Natural Language Processing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Arizona look for? The top searched job categories for Natural Language Processing jobs in Arizona are:
What cities in Arizona are hiring for Natural Language Processing jobs? Cities in Arizona with the most Natural Language Processing job openings:
Data Scientist

Data Scientist

Veterans Benefits Administration

Phoenix, AZ โ€ข On-site, Remote

$106K - $158K/yr

Full-time

PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Summary
This position supports the Veterans Benefits Administration (VBA), Medical Disability Examination Office (MDEO) in Washington, D.C. The primary purpose for this position is to serve as a Data Scientist, supporting the data architecture modernization and sustainment, and analyzing data and trends associated with medical disability examinations associated with Veterans and their claims.
Learn more about this agency
Duties
Help
  • Conduct regression analysis, statistical analysis, modeling, machine learning, Natural Language Processing, time series forecasting, exploratory data analysis and data visualization.
  • Work in established and emerging data science tools such as Toad, SAS, R, Python, PowerBI, Tableau, and cloud analytics platforms. Conduct data extraction by using computer programming without preset specifications.
  • Responsible for identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured datasets related to the data science lifecycle.
  • Complete work that involves the development of algorithms or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings.
  • Utilize visualization tools, such as Oracle Business Intelligence Enterprise Edition (OBIEE), and Power BI.
  • Plan and conduct data science projects in support of workload forecasting; identifying Veteran, medical disability examinations, claims, and medical disability examinations.
  • Create and design dashboards and other data visualization reports to support MDEO leadership and external stakeholders. Support transition and migration of reporting platforms.
  • Monitor, track, and communicate changes and developments in data science research and technology. Report key advances and results from proof-of-concept testing to assigned project lead or supervisor.

Requirements
Help
Conditions of employment
As a condition of employment for accepting this position, you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider:
  • your performance and conduct;
  • the needs and interests of the agency;
  • whether your continued employment would advance organizational goals of the agency or the Government; and
  • whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your probationary period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. Additional Conditions of Employment are as follows:
  • You must be a U.S. Citizen to apply for this job
  • Selective Service Registration is required for males born after 12/31/1959
  • You may be required to serve a probationary or trial period
  • Subject to background/security investigation
  • Selected applicants will be required to complete an online onboarding process. Acceptable form(s) of identification will be required to complete pre-employment requirements I-9 Acceptable Documents.
  • Effective May 7, 2025, driver's licenses or state-issued identification cards that are not REAL ID compliant cannot be utilized as an acceptable form of identification for employment.

Qualifications
To qualify for this position, applicants must meet all requirements by the closing date of this job opportunity announcement, 06/22/2026.
INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) / BASIC REQUIREMENT:
  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
    or
  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

To qualify at the GS-13 grade level: In addition to basic requirements, applicants must have completed at least 1 full year (52 weeks) equivalent to the next lower grade level of GS-12, in a federal, state and/or private setting. Specialized experience for this position must include: (1) Experience using SQL querying language (such as Oracle SQL or PLSQL) to acquire data from relational databases for data science projects. (2) Experience using data mining techniques to design and execute data science projects. (3) Experience using data visualization tools (such as Microsoft Power BI or Tableau) for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
Examples of specialized experience for this position may include:
  1. Experience preparing and analyzing structured and unstructured datasets for exploration and evaluating data science centric models.
  2. Experience working with multiple data types and formats as a part of a data science project.
  3. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration
  4. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
  5. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
  6. Experience planning and executing a variety of data science and/or analytics projects.

There is no educational substitution authorized for the grade level of GS-13.
Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Full-Time vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Education
An unofficial or official copy of your transcripts must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education: http://ope.ed.gov/accreditation/
If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: Recognition of Foreign Qualifications | U.S. Department of Education
Additional information
This is not a Virtual/Remote Position.
Work Schedule: Regular office hours, Monday - Friday, 8:00 AM - 4:30 PM. Alternate work schedules may be available.
Physical Requirements: The work is sedentary.
Promotion Potential: The full performance level of this position is grade GS-13.
VA supports the use of ad-hoc telework to attract and retain talented individuals in public service, increase worker productivity, and better prepare the agency to operate during emergencies. This position may be authorized for ad-hoc telework. Eligibility may be discussed during the interview process. Ad-hoc telework is subject to approval by individual supervisors and managers, is considered a privilege not a right, is subject to approval based on performance and other varying factors, and is not guaranteed.
Receiving Service Credit for Earning Annual (Vacation) Leave: Federal employees earn annual leave at a rate (4, 6 or 8 hours per pay period) which is based on the number of years they have served as a Federal employee. VA may offer newly appointed federal employees credit for their job-related non-federal experience or active duty uniformed military service. This credited service can be used to determine the rate at which they earn annual leave. Such credit must be requested and approved prior to the appointment date and is not guaranteed.
Placement Policy: The posting of this announcement does not obligate management to fill a vacancy or vacancies by promotion. The position may be filled by reassignment, change to lower grade, transfer, appointment, or reinstatement. Management may use any one or any combination of these methods to fill the position.
Under the "Fair Chance to Compete Act", the Department of Veterans Affairs prohibits requesting an applicant's criminal history prior to accepting a tentative job offer (TJO). Please visit the Human Resources and Administration/Operations, Security, and Preparedness (HRA/OSP), https://www.va.gov/EMPLOYEE/docs/The-Fair-Chance-to-Compete-Act.pdf.
This job opportunity announcement may be used to fill additional vacancies.
Expand Hide additional information
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.