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

Quant Blueprint LLC

AI Scientist

West Palm Beach, FL · On-site

$100 - $140/hr

Location West Palm Beach, FL The Role We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: * Conduct research ...

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

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All JobsData Scientist JobsData Scientist Jobs in Boca Raton, FL

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 Sep 4, 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 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 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.

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 employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

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.
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Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,475 per year, or $56 per hour.

Data Scientist - Analytics Lead - Onsite

DSN

Boca Raton, FL

Full-time

Re-posted yesterday

Job description

Analytics Lead / Data Scientist – Gaming Focus
Onsite | South Palm Beach County
W2-FTE GC USC

We are seeking a highly agile Analytics Lead / Data Scientist to turn game and player data into decisions that directly improve game performance and business outcomes.

This is an analytics-led role, not an ML engineering, MLOps, or model-deployment position. The right person combines strong statistical and technical skills with sharp business judgment — someone who can think critically about data, not just run models.

What Success Looks Like

This role is ideal for someone who can look at data, recognize what matters, and explain what the business should do next. We are looking for someone who can answer:

  • What are players doing?
  • Why is performance changing?
  • Which experiment worked?
  • Where is the opportunity?
  • What should Game Design or Leadership do next?

We are not looking for someone whose primary experience is building models, deploying AI systems, or managing MLOps pipelines.

What You'll Own

  • Define, track, and continuously improve game and business KPIs
  • Build and evolve dashboards used daily by Game Design and Leadership
  • Analyze player behavior, game performance, retention, engagement, and monetization trends
  • Design and interpret A/B tests and other experiments
  • Identify anomalies, risks, and opportunities quickly
  • Translate complex data into clear recommendations and business decisions
  • Partner closely with Game Designers, Product, and Management in a rapid-iteration environment
  • Structure and maintain the underlying data architecture needed for reliable reporting and analysis

What We're Looking For

  • Strong analytical instincts and independent problem-solving ability — able to think critically about data, not just execute models
  • Demonstrated experience using data to influence product or business decisions
  • Experience owning KPIs, not simply reporting them
  • Strong background in data architecture and data analysis — structuring, organizing, and maintaining reliable data environments in support of business reporting
  • Hands-on exposure to machine learning and LLM technologies, applied with clear business judgment about when and why to use them
  • Comfort working with incomplete, evolving, or imperfect data
  • Strong SQL skills
  • Proficiency with Tableau or Power BI, Excel, and Python or R
  • Experience with A/B testing, experimentation, and performance measurement
  • Bachelor's degree in Statistics, Applied Mathematics, Data Science, or a related field

Nice to Have

  • Experience analyzing gaming, casino, online-player, consumer-product, or other behavioral data
  • Familiarity with slot-game metrics or game-performance analytics
  • Snowflake or similar modern cloud data-platform experience
  • Master's degree for senior-level candidates