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Computer Science Statistics Jobs in Florida (NOW HIRING)

Education: * A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or seven (7) years of equivalent experience in machine learning and predictive modeling.

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

$56K/yr

... probability, statistics, mathematical logic, science, or subject-matter courses requiring ... Knowledge of computer operations and standard software applications . PART-TIME OR UNPAID ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience) * 3+ years of experience in data science, analytics, or a ...

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Showing results 1-20

Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Computer Science Statistics jobs in Florida? The most popular types of Computer Science Statistics jobs in Florida are:
What job categories do people searching Computer Science Statistics jobs in Florida look for? The top searched job categories for Computer Science Statistics jobs in Florida are:
Infographic showing various Computer Science Statistics job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Full-time

Posted 10 days ago


Job description

Data Analyst

Location: Melbourne, FL, 32940

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Melbourne, FL. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive informed business decisions.

Responsibilities
  • Collect, process, and perform statistical analyses on large datasets.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Identify trends, patterns, and insights from data to support business strategies.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Ensure data integrity and accuracy by performing data validation and cleansing.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Utilize data visualization tools to communicate complex data effectively.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in SQL and experience with data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Familiarity with statistical software (e.g., R, Python) is a plus.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
How to Apply

If you are passionate about data and eager to contribute to a dynamic team, please submit your resume and cover letter to our HR department.