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Entry Data Scientist Jobs in Florida (NOW HIRING)

Machine Learning Engineer

Melbourne, FL ยท 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 ...

Junior Scientific Data Analyst

Melbourne, FL ยท On-site

$65K - $108K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ... entry. For a list of acceptable forms of identification, please click here. Benefits At ENSCO, a ...

Physical Scientist

Homestead, FL ยท On-site +1

$65K - $85K/yr

Performs data entry. Conducts analysis of standard data. Makes recommendations to higher graded ... Physical Science Series, 1301: Individual Occupational Requirements Basic Educational Requirements:

Machine Learning Engineer

Melbourne, FL ยท 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 ...

Showing results 21-40

Entry Data Scientist information

See Florida salary details

$34.4K

$123.3K

$182K

How much do entry data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry data scientist 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 an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

How to start a career in data science with no experience?

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What cities in Florida are hiring for Entry Data Scientist jobs?

Cities in Florida with the most Entry Data Scientist job openings:

Infographic showing various Entry Data Scientist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL โ€ข On-site

$73K - $131K/yr

Other

Re-posted 7 days ago


Job description

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.
ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains.
Learn more about ENSCO.
Position Description
ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets. Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters. The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions. Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security. A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
Qualifications Required:
Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered.
Minimum of 3 years related industry experience in machine learning, data science, and analytics.
Proven track record of successful data science and algorithm implementation.
Provide mentorship to junior ML engineers.
A self-starter with excellent oral and written communication skills.
Experience navigating and programming within the Linux environment.
Experience working with structured and unstructured databases.
Advanced proficiency with data science languages (e.g. Python, Matlab,)
Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
Experience working with large data sets and ability to extract relevant information from data sets.
Qualifications Desired:
Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
Experience with ML/DL algorithms extracting signal from noise.
Past experience being able to develop solutions using disparate data sets through ML techniques.
DevOps experience involving CI/CD pipelines to build and deploy.
Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
An Active TS/SCI clearance.
Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes
Salary Range
$73,923.20-$131,331.20 USD
REAL ID Requirement
This position may require the ability to access to U.S. federal facilities. In accordance with the Department of Homeland Security's enforcement of the REAL ID Act, as of May 7, 2025, individuals must present a REAL ID-compliant form of identification or an acceptable alternative to gain entry. For a list of acceptable forms of identification, please click here.
Benefits
At ENSCO, a positive working environment and a competitive salary are only part of the reason for choosing a career here. We offer a comprehensive benefits package that creates a stimulating and supportive environment where you can thrive - visit ensco.com/careers/benefits to learn more.
Export Control and Licensing
This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a non US person may require an export license from the U.S. Government.
Privacy
Your data privacy is important to ENSCO. Please click here to view our privacy policy. California residents can click here to view your California privacy rights.
EEO Statement
ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers- veterans, disability