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Data Scientist Jobs in Boca Raton, FL (NOW HIRING)

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

The Sr. Data Scientist will be responsible for helping operations make data-driven decisions by implementing data analysis techniques, developing processes to extract insights from data, and ...

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your ...

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical contributor within the R&D group, leading the design, development, validation, and implementation ...

QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida.

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Data Scientist information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do data scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data scientist in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Boca Raton, FL? The most popular types of Data Scientist jobs in Boca Raton, FL are:
What are popular job titles related to Data Scientist jobs in Boca Raton, FL? For Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Boca Raton, FL look for? The top searched job categories for Data Scientist jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Scientist jobs? Cities near Boca Raton, FL with the most Data Scientist job openings:
Infographic showing various Data Scientist job openings in Boca Raton, FL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,475 per year, or $56 per hour.

Other

Posted 11 days ago


Job description

  • High School Diploma or equivalent
  • The ability to fluently read, write, understand and communicate in English
  • 3 years of relevant experience, medical device industry or equivalent industry experience is preferred

Preferred Requirements:

  • Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base
  • Good working knowledge in ML algorithm development using image-based data and image processing is desirable
  • Ability to conduct experiments to collect data and/or to support algorithm development
  • Advanced expertise in software and other applications used by data scientist for algorithm development
  • Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners
  • Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams
  • Well-developed organizational skills and the ability to manage several projects simultaneously