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Entry Level Data Science Jobs in Florida (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

SynergisticIT

Entry Level UI Developer

Miami, FL · On-site

$47.75 - $62.25/hr

Data Scientist Opportunity At SynergisticIT At SynergisticIT, we aim to bring aboard IT ... Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ...

Tech Consulting

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years ... Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree in Computer Science ...

SynergisticIT

Cloud Data Engineer

Dania Beach, FL · On-site

$104K - $125K/yr

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

SynergisticIT

Business Analyst - Entry Level

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply:

SynergisticIT

Entry Level Java/Backend Developer

Tampa, FL · On-site

$46 - $59.50/hr

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ...

SynergisticIT

Python/R Developer

Pompano Beach, FL · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for entry level data science in Florida is $14.24, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $16.01 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Florida? The most popular types of Data Science jobs in Florida are:
What are popular job titles related to Entry Level Data Science jobs in Florida? For Entry Level Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Florida look for? The top searched job categories for Entry Level Data Science jobs in Florida are:
What cities in Florida are hiring for Entry Level Data Science jobs? Cities in Florida with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $29,615 per year, or $14.2 per hour.
Data Scientist

Data Scientist

Noblesoft Solutions

Jacksonville, FL

Contractor

Posted 22 days ago

Job description

Company Description

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.

Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.

Our History

After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.

Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Possessing a solid machine learning foundation
Proven record of successful statistical product delivery
Ability to execute health insurance use cases via statistical applications such as R or Python 
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) 
Significant experience with SQL and working with large datasets required
Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point

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