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Remote Data Mining Jobs in Florida (NOW HIRING)

(unknown company)

Data Scientist

Orlando, FL · On-site +1

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 ...

UAB

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126K - $205K/yr

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 ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Humana

Lead Data Scientist

Tampa, FL · On-site +1

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

Sierra Forensic Group (SFG)

Associate

Miami, FL · On-site +1

Remote About Sierra Forensic Group Sierra Forensic Group (SFG) is a boutique forensic accounting ... Data mining and analysis, including database construction of financial records, accounting data ...

Sierra Forensic Group (SFG)

Associate

Miami, FL · On-site +1

Remote About Sierra Forensic Group Sierra Forensic Group (SFG) is a boutique forensic accounting ... Data mining and analysis, including database construction of financial records, accounting data ...

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Florida

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 Jul 14, 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 careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
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 are popular job titles related to Remote Data Mining jobs in Florida? For Remote Data Mining jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Florida look for? The top searched job categories for Remote 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:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.
Remote Data Entry Operator

Remote Data Entry Operator

Spire Manufacturing Solutions

Jacksonville, FL • Remote

$21 - $29/hr

Full-time

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

Job description

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Job Title: Remote Data Entry OperatorAbout the Role

We are seeking a detail-oriented and reliable Remote Data Entry Operator to join our dynamic team. This role plays a vital part in ensuring accurate and timely input of data, supporting key business operations from the comfort of your home. If you have a keen eye for detail and a commitment to quality, this opportunity offers a flexible and rewarding way to contribute to our organization’s success.

Key Objectives
  • Accurately enter and update data into company databases and systems.
  • Maintain data integrity and confidentiality at all times.
  • Support various departments by providing timely and precise data entry services.
Responsibilities
  • Input data from various source documents into computer systems with speed and accuracy.
  • Verify data by comparing it to source documents to ensure accuracy.
  • Review and correct any errors or inconsistencies in data entries.
  • Maintain electronic and paper filing systems to ensure data is organized and accessible.
  • Communicate effectively with team members and supervisors to clarify data discrepancies.
  • Meet daily and weekly data entry targets without compromising quality.
  • Follow company protocols for data security and confidentiality.
Requirements
  • Proven experience in data entry or a related administrative role.
  • Proficient typing skills with a high level of accuracy.
  • Familiarity with data management software and basic computer applications (e.g., MS Office, Google Workspace).
  • Strong attention to detail and organizational skills.
  • Ability to work independently and manage time effectively in a remote setting.
  • Excellent communication skills, both written and verbal.
  • High school diploma or equivalent; additional certification in data entry or administration is a plus.
Benefits
  • Flexible remote work environment to support work-life balance.
  • Competitive compensation based on experience and performance.
  • Opportunities for professional growth and skill development.
  • Supportive team culture with regular virtual check-ins and collaboration.
  • Access to modern tools and technology to perform your role efficiently.

```