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Data Science Entry Jobs in Florida (NOW HIRING)

ENSCO, Inc.

Junior Machine Learning Engineer

Melbourne, FL · On-site

$65K - $106K/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 ...

ENSCO, Inc.

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 ...

ENSCO, Inc.

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 ...

ENSCO - Hot Jobs

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 ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

ENTRY/MID (2-4 years experience) Location: Washington, DC or Plant City, FL Travel Allocation: 0 ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

ENTRY/MID (2-4 years experience) Location: Washington, DC or Plant City, FL Travel Allocation: 0 ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is ...

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How much do data science entry jobs pay per hour?

As of Jul 14, 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 are popular job titles related to Data Science Entry jobs in Florida? For Data Science Entry jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Florida look for? The top searched job categories for Data Science Entry jobs in Florida are:
What cities in Florida are hiring for Data Science Entry jobs? Cities in Florida with the most Data Science Entry job openings:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $30,269 per year, or $14.6 per hour.
Process Improvement / PLM Data Intern

Process Improvement / PLM Data Intern

ASR Group

Boca Raton, FL • On-site

Other

Posted just now

Job description

The ASR Group family of companies make up the world's largest refiner and marketer of cane sugar. The companies produce a full line of grocery, industrial, foodservice and specialty sweetener products. Across North America, ASR Group companies operate five sugar refineries, located in California, Maryland, Louisiana, Canada and Mexico. In Europe, ASR Group companies operate sugar refineries in the United Kingdom, Portugal, and, with a joint venture partner, Italy. The companies also farm sugarcane and own sugar mills in Mexico and Belize. The ASR Group portfolio includes the leading brands Domino, C&H, Florida Crystals, Redpath, Tate & Lyle, Lyle's, Sidul and Whitworths.  ASR Group companies also produce and market Tellus, a single-use, compostable tableware and foodservice product made from plant fibers, including sugarcane.

OVERVIEW

The Process Improvement / PLM Data Intern will support ASR Group's efforts to improve data quality, reporting, and visibility within Product Lifecycle Management (PLM) and related systems. The intern will help organize, clean, and analyze product and formulation data and associated documentation, while partnering with R&D, Operations, Quality, and Regulatory teams to strengthen how information is captured, maintained, and used across the business.

DETAILED ROLES & RESPONSIBILITIES

  • Review, clean, and standardize product, formulation, artwork, and documentation data within PLM systems.
  • Identify missing, inconsistent, or duplicate data; perform basic data checks and support corrective updates.
  • Collect and organize data from PLM and related systems; build simple reports and dashboards using Excel, Power BI, or similar tools.
  • Support basic analysis to identify trends, gaps, and recurring data-quality issues; summarize findings in charts, tables, and concise written updates.
  • Document current workflows for product data and documentation management; identify opportunities to simplify, improve, or standardize processes.
  • Partner with R&D, Operations, Quality, and Regulatory teams to gather, validate, and maintain product data and support internal requests under guidance.
  • Identify manual or repetitive tasks that could be simplified or automated; support basic automation using templates and spreadsheet-based tools.
  • Maintain organized records of data updates and help draft simple guidelines for data entry and maintenance.

WORK EXPERIENCES

  • Experience working with structured data through coursework, projects, or internships; demonstrated attention to detail and data quality
  • Proficiency with Microsoft Excel (sorting, filtering, basic formulas); comfort organizing and maintaining datasets
  • Ability to communicate clearly and collaborate with cross-functional partners
  • Exposure to reporting and visualization tools (Power BI, Tableau, or similar) preferred
  • Basic familiarity with SQL and/or Python preferred

EDUCATION REQUIREMENTS

  • Currently pursuing (or recently completed) a degree in Data Science, Data Analytics, Computer Science, Engineering, Information Systems, or a related field.

SUPERVISORY RESPONSIBILITY

This role has no supervisory responsibility.

TRAVEL REQUIREMENTS

Less than 10% travel, based on business needs.

ESSENTIAL CAPABILITIES (KNOWLEDGE, SKILLS, ABILITIES AND PERSONAL ATTRIBUTES)

  • Analytical Thinking & Decision Making - Identifies patterns and data-quality issues; connects information to support practical recommendations.
  • Effective Communication - Communicates clearly with technical and non-technical partners; summarizes findings concisely.
  • Teamwork & Collaboration - Works effectively across R&D, Operations, Quality, and Regulatory teams.
  • Problem-Solving - Diagnoses issues systematically and supports solutions that improve data accuracy and process efficiency.
  • Results Orientation & Accountability - Takes ownership of assigned tasks and delivers on commitments.
  • Adaptability/Flexibility - Maintains effectiveness as priorities and requirements evolve.
  • Continuous Improvement - Looks for ways to streamline work and improve how information is captured and maintained.
  • Self-Development - Seeks feedback and learns new tools and methods to grow capability.

LOCATION OF ROLE

  • Boca Raton, FL

We are an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, gender, sexual orientation, gender identity, age, national origin, disability, veteran status or any other category protected under federal, state, or local law. All employment is decided on the basis of qualifications, merit, and business need. 

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