ZipRecruiter

Log In

1

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

WorldQuant

AI Scientist

West Palm Beach, FL · Hybrid

$150K - $200K/yr

We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: * Conduct research in the Machine Learning field to ...

DHL eCommerce

Manager Commercial Analytics

Weston, FL · On-site

Data Science, MBA with an analytical focus, or a related field preferred * 5 - 8 years of experience with significant experience in leading a team and working on analytics is required * Preferred ...

next page

Showing results 1-20

All JobsData Scientist JobsData Scientist Jobs in Boca Raton, FL

Data Scientist information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data scientist in Boca Raton, FL is $116,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 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.

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 communicate findings to stakeholders.

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 generally 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 jobs does data science do?

Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.

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.
More about Data Scientist jobs
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:
Data Scientist jobs near you

Data Scientist - Analytics Lead - Onsite

DSN

Boca Raton, FL

Other

Posted 11 days ago

Job description

Data Scientist / Analytics Lead - Gaming Focus -
ONSITE S. Palm Beach County location

We are seeking a highly agile Data Scientist to drive real-time insights that directly influence game performance, player behavior, and business decisions. This role requires someone who can think on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment.

What This Role Does

  • Own game and business KPIs, from definition through ongoing optimization

  • Build and evolve dashboards and analytics used daily by Game Design and Leadership

  • Analyze player behavior, game performance, and experiments (A/B testing)

  • Quickly identify trends, anomalies, and opportunities - and act on them

  • Translate complex data into clear, compelling stories that drive decisions

  • Partner closely with Game Designers, Product, and Management in a rapid-iteration environment

What We're Looking For

  • Strong analytical instincts and the ability to problem-solve independently

  • Comfort working with incomplete or evolving data

  • Experience influencing decisions, not just reporting numbers

  • Bachelor's degree in Statistics, Applied Math, Data Science, or related field

  • Proficiency with SQL, Tableau or Power BI, Excel, and Python or R

  • Experience with A/B testing and performance measurement

Nice to Have

  • Experience with predictive modeling, machine learning, or AI

  • Familiarity with gaming or online player data (slots a plus)

  • Experience with Snowflake and modern data stacks

  • Master's degree for senior-level candidates

Why This Role Is Different
This is not a back-office analytics role. Success requires speed, curiosity, and judgment - someone who can spot patterns fast, ask the right questions, and influence outcomes in real time.

Apply