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Text Mining Jobs in Florida (NOW HIRING)

Knowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning ...

Develops predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced ...

Data Scientist III

Tampa, FL · On-site

$108 - $165/hr

Innovative data types include, but are not limited to, medical record text, radiology and pathology ... Experience writing SQL queries, mining large datasets (pandas/dplyr), and using data visualization ...

New

Apply statistical methods, data mining, and machine learning to generate actionable insights ... Contribute to text and language-focused use cases by preparing and analyzing unstructured data ...

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Text Mining information

See Florida salary details

$12

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$25

How much do text mining jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for text mining in Florida is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $22.26 per hour, depending on experience, location, and employer.

What is a text mining?

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 text mining?

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.

What are some common challenges faced by professionals in text mining?

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 job categories do people searching Text Mining jobs in Florida look for?

The top searched job categories for Text Mining jobs in Florida are:

Infographic showing various Text Mining job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 24% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $41,713 per year, or $20.1 per hour.

Senior Data Scientist

INSPYR Solutions

Hollywood, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title: Sr. Data Scientist 
Location: Miami, FL (onsite) 
Duration: Contract 6 month
Compensation: $80-85
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
The Senior Data Scientist plays a critical role in shaping the future of business by developing algorithms and models that forecast trends and translate business needs into actionable analytics for executive decision-making. With a strong foundation in AI/ML and pricing optimization, this role leads ML model experimentation — scaling sensitivity-to-elasticity experiments across more markets simultaneously — while driving model measurement, tuning, and pilot measurement strategy. By conducting large-scale experiments, the Senior Data Scientist addresses complex business questions and uncovers hidden relationships within extensive datasets.
Duties and Responsibilities
  • Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptions
  • Build predictive models using statistical and machine learning techniques, with a focus on pricing optimization and elasticity modeling
  • Augment ML model experimentation by scaling sensitivity-to-elasticity analyses, enabling more experiments and markets to run concurrently
  • Design and execute pilot measurement strategies to evaluate model performance in live environments before full deployment
  • Continuously measure, monitor, tune, and optimize models within the production environment to ensure health, accuracy, and business impact
  • Create visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytelling
  • Work with cross-functional teams, including engineers, service owners, product owners, product managers, and business stakeholders, to understand data needs and challenges
  • Prepare reports and presentations to convey insights and recommendations
  • Gather data from various sources and ensure its quality and integrity
  • Stay updated with the latest tools, techniques, and industry trends in data science and AI/ML and bring ideas to the table for how to improve the use of data and analytics
  • Design and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planning
  • Utilize analytical tools and hypothesis-driven analysis to enhance machine learning projects
  • Implement cutting-edge AI techniques to boost data analysis efficiency
  • Perform data sampling
Minimum Qualifications/Requirements
  • Bachelor''s degree in Mathematics, Statistics, Computer Science, or related field; master''s degree preferred
  • Typically 5+ years of relevant quantitative and qualitative research, analytics, data science, or machine learning experience
  • Demonstrated experience with pricing optimization models and elasticity analysis
  • Experience and solid understanding of machine learning algorithms and relational databases
  • Experience with data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
  • Proven experience in model measurement, monitoring, and tuning within a production environment
  • Experience managing and delivering complex and technical products
  • Experience performing statistical analysis and applying visualization techniques
  • Native-level proficiency/fluency in English
Preferred Skills
  • Knowledge of data models and structures, as well as database design tools and query languages
  • Knowledge of multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, and SPSS
  • Knowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN)
  • Strong working knowledge of AI/ML techniques with the ability to flex between data science and applied ML roles as business needs evolve
  • Experience designing and executing pilot measurement strategies and evaluating experiment results at scale across multiple markets
  • Basic knowledge of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
  • Demonstrated communication, collaboration, and stakeholder management skills to build strong relationships with IT and the business
  • Demonstrated data analysis and data modeling skills to identify patterns, trends, and solutions to complex problems
  • Basic technical leadership skills encompassing employee coaching, objective setting, and fostering professional development
  • Ability to clearly communicate concepts and present complex data findings to both technical and business executives
  • Ability to conduct statistical analyses and build models with advanced scripting languages
  • Attention to detail and ability to maintain data accuracy and integrity
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.