1

Data Science Entry Jobs in Florida (NOW HIRING)

... scientists, digital innovators, program and construction managers and other professionals ... The data entry operator is responsible for performing data entry work using appropriate software.

... scientists, digital innovators, program and construction managers and other professionals ... The data entry operator is responsible for performing data entry work using appropriate software.

... scientists, digital innovators, program and construction managers and other professionals ... The data entry operator is responsible for performing data entry work using appropriate software.

The Entry Scientist, SOM supports assigned research activities for the department. The appointee ... Processes and analyzes results and data. * Communicates results to the scientific community via ...

The Entry Scientist, SOM supports assigned research activities for the department. The appointee ... Processes and analyzes results and data. * Communicates results to the scientific community via ...

CORE JOB SUMMARY The Entry Scientist, SOM supports assigned research activities for the department ... Data Analytics & Bioinformatics * Integrate and analyze complex datasets using data analytics ...

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

CORE JOB SUMMARY The Entry Scientist, SOM supports assigned research activities for the department ... Data Analytics & Bioinformatics * Integrate and analyze complex datasets using data analytics ...

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

next page

Showing results 1-20

Data Science Entry information

See Florida salary details

$8

$14

$21

How much do data science entry jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data science entry in Florida is $14.55, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $16.35 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What cities in Florida are hiring for Data Science Entry jobs? Cities in Florida with the most Data Science Entry job openings:
Infographic showing various Data Science Entry job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $30,269 per year, or $14.6 per hour.

Data Entry Clerk/ QA Analyst

Think Tank, Inc.

Key Biscayne, FL

Contractor

Re-posted 9 days ago


Job description

*Authorized to work in the US Required (US Citizen Preferred)

*Onsite at a SEFSC Facility (TX, FL, Gulf of Mexico, South Atlantic, or Caribbean)

*Proposal Effort: Position is Subject to Contract Award

*Must be able to provide 3 professional references

POSITION DESCRIPTION:

The Data Entry Clerk / QA Analyst supports NOAA, which collects, analyzes, and maintains critical fishery-dependent data used for managing U.S. marine resources in the Gulf of Mexico, South Atlantic, and Caribbean.

This position plays an essential role in ensuring the accuracy, integrity, and usability of observer data that informs fisheries management, conservation programs, and stock assessments. Working closely with NOAA scientists, debriefers, and technical staff, the Data Entry Clerk / QA Analyst helps maintain high-quality datasets and contributes to producing scientific reports, visual materials, and databases supporting marine resource conservation.

RESPONSIBILITIES:

  • Enter, proof, and verify observer data collected at sea into NOAA-owned databases, ensuring accuracy and consistency with sampling protocols
  • Perform data quality assurance (QA) by identifying, correcting, and documenting data errors and inconsistencies.
  • Analyze and maintain databases, supporting NOAA's data management and reporting requirements.
  • Annotate video and still imagery scans for inclusion in NOAA's training dataset/library.
  • Prepare datasets, tables, and visuals for use in scientific reports and presentations.
  • Assist in the processing and distribution of scientific collecting permits from state and federal agencies.
  • Format and assemble technical reports, including charts, graphs, and tables using Microsoft Word and Excel or similar tools.
  • Support QA and data review activities, working collaboratively with debriefers and fisheries scientists to ensure complete and accurate observer trip records.
  • Work independently or as part of a team to meet data delivery schedules and resolve technical issues related to data entry or formatting.

REQUIREMENTS:

  • Associate's or Bachelor's degree in Marine Science, Environmental Science, Computer Science, or a related field.
  • Experience with NOAA or other federal scientific data systems.
  • Familiarity with fishery observer programs, marine data collection, or environmental QA/QC practices.
  • Experience in producing scientific graphics, charts, and reports.
  • Understanding of data confidentiality and scientific data handling standards.
  • Strong attention to detail and accuracy in handling complex datasets.
  • Proficiency with Microsoft Office Suite (Word, Excel, Access) and familiarity with data management systems.
  • Strong analytical and organizational skills, with the ability to identify and correct data discrepancies.

Please contact hr@ttinc.com if you have any questions or concerns.