1

Text Mining Jobs (NOW HIRING)

... text mining or machine learning techniques • Secret clearance • Bachelor's degree Preferred : • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL ...

... text mining or machine learning techniques • Secret clearance • Bachelor's degree Preferred : • 2+ years of experience in the development of algorithms leveraging R or Python • 2+ years of ...

Senior Software Engineer

San Mateo, CA · On-site

$139K - $183K/yr

Text mining and Natural Language Processing is a plus. * Experience with business applications and enterprise software a big plus. Familiar with API design, distributed back end systems and ...

Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques * Experience with Business Intelligence ...

Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. * Demonstrated success in using or (and preferably ...

... mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi ...

You've exposure in Online / Digital analytics & Text Mining. Here's what we can offer. Competitive base salary of $100K+ Bonus and Benefits+ Relocation Assistance Work Authorization: US Citizens ...

... mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi ...

next page

Showing results 1-20

Text Mining information

See salary details

$17

$26

$34

How much do text mining jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for text mining in the United States is $26.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $29.81 per hour, depending on experience, location, and employer.

Is text mining legal?

Text mining is generally legal when performed on publicly available data or with proper authorization, but it can raise legal issues related to data privacy, intellectual property, and terms of service. Professionals in this field should ensure compliance with relevant laws and regulations, and understanding data rights is essential for ethical and lawful practice.

Is text mining hard?

Text mining as a job involves analyzing large amounts of unstructured text data using tools like Python, R, or specialized software. It requires skills in data analysis, programming, and understanding natural language processing, which can present a learning curve for beginners but becomes manageable with training and practice.

What is the salary of text mining?

The salary for a text mining specialist typically ranges from $60,000 to $120,000 annually, depending on experience, education, and location. Entry-level roles may start lower, while experienced professionals with skills in natural language processing and machine learning can earn higher salaries.

What are some common challenges faced by professionals in Text Mining roles?

Professionals in Text Mining roles often encounter challenges such as cleaning and preprocessing large volumes of unstructured text data, dealing with ambiguous or context-dependent language, and ensuring the accuracy of the extracted information. Handling multiple languages, domain-specific jargon, and data privacy concerns can also add complexity to projects. Collaboration with subject matter experts and data engineers is often necessary to fully understand project requirements and optimize results. Overcoming these challenges is both rewarding and crucial for delivering high-quality insights that drive business decisions.

What does text mining do?

Text mining involves analyzing large amounts of unstructured text data to extract useful information, patterns, and insights. It is used in fields like data analysis, natural language processing, and machine learning, often requiring skills in programming and familiarity with tools such as Python or R. Professionals in this area help organizations make data-driven decisions by transforming text into structured, actionable data.

What is a Text Mining job?

A Text Mining job involves extracting useful information, patterns, and insights from large volumes of text data using natural language processing (NLP), machine learning, and statistical techniques. Professionals in this field work with unstructured data from sources like documents, social media, and customer feedback to derive meaningful conclusions. They use programming languages such as Python or R, along with tools like NLP libraries and AI models. Text Mining is commonly applied in areas like sentiment analysis, topic modeling, and automating text classification for business intelligence.

What are the key skills and qualifications needed to thrive in the Text Mining position, and why are they important?

To thrive in Text Mining, you need a solid background in computer science, data analysis, and natural language processing (NLP), often supported by a relevant degree. Familiarity with programming languages such as Python or R, and experience using NLP libraries like NLTK, spaCy, or TensorFlow are typically required, with certifications in data science or machine learning being advantageous. Strong analytical thinking, attention to detail, and effective communication are vital soft skills in this field. These abilities are crucial for extracting meaningful insights from large unstructured text data and effectively collaborating with cross-functional teams.

More about Text Mining jobs
What are the most commonly searched types of Text Mining jobs? The most popular types of Text Mining jobs are:
What states have the most Text Mining jobs? States with the most job openings for Text Mining jobs include:
Infographic showing various Text Mining job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $55,819 per year, or $26.8 per hour.
Data Scientist, Mid

Data Scientist, Mid

Booz Allen Hamilton

San Diego, CA • On-site

Full-time

Posted 16 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is a company focused on leveraging data science to solve global challenges. They are seeking a Mid Data Scientist to analyze complex data sets, develop algorithms, and provide insights to clients across various sectors including fraud detection and cancer research.
Responsibilities:
• Unlock the secrets held by a data set and explore the possibilities of IoT, machine learning, and artificial intelligence.
• Use analytical skills and data science knowledge to create real-world impact.
• Work closely with clients to understand their questions and needs and analyze data-rich environments to find information.
• Develop algorithms and systems to turn disparate data points into objective answers.
• Provide a deep understanding of the data, its implications, and usability.
Qualifications:
Required:
• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 2+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience analyzing structured and unstructured data sources
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
• Knowledge of text mining or machine learning techniques
• Secret clearance
• Bachelor’s degree
Preferred:
• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with Machine Learning, AI, or NLP
• Experience with Palantir Foundry
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik
• TS/SCI clearance
• Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914