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Remote Data Mining Jobs in Florida (NOW HIRING)

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Design and build new data set processes for modeling, data mining, and production purposes. Duties ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

... mining and recommendation systems o Natural Language Processing and Information Retrieval o ... Assistance@gartner.com #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the ...

... mining and recommendation systems o Natural Language Processing and Information Retrieval o ... Assistance@gartner.com #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Hybrid ... Ability to bridge the gap between complex data mining (Machine Learning, NLP, Multivariate analysis ...

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Remote Data Mining information

See Florida salary details

$34.4K

$123.3K

$182K

How much do remote data mining jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data mining in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

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

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

What are the most commonly searched types of Data Mining jobs in Florida? The most popular types of Data Mining jobs in Florida are:
What cities in Florida are hiring for Remote Data Mining jobs? Cities in Florida with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 20% In-person, and 80% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Data Scientist

(unknown company)

Orlando, FL • On-site, Remote

Full-time

Posted 13 days ago


Job description

Company Description
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years' of experience in quantitative analytics or data modeling
• Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
• Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.