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Data Science And Analytics Jobs in Boca Raton, FL

Data Science Tutor

Miramar, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

... data science, machine learning techniques, and statistical modeling, enabling governance over model development, validation, and enterprise level deployment. * Ability to translate complex analytical ...

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

Senior Data Analyst

Boca Raton, FL ยท On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

Senior Data Analyst

Boca Raton, FL ยท On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

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Data Science And Analytics information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics 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 is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Boca Raton, FL are hiring for Data Science And Analytics jobs?

Cities near Boca Raton, FL with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.

Data Analytics/Scientist - Gaming

H. T. PROF Group

Boca Raton, FL โ€ข On-site

$90 - $130/hr

Other

Posted 5 days ago


Job description

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

We are seeking ahighly agile Data Scientistto drive real-time insights that directly influencegame performance, player behavior, and business decisions. This role requires someone who canthink on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment.

What This Role Does

Owngame and business KPIs, from definition through ongoing optimization

Build and evolvedashboards and analyticsused 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 intoclear, compelling storiesthat drive decisions

Partner closely withGame Designers, Product, and Managementin a rapid-iteration environment

What Weโ€™re Looking For

Stronganalytical instinctsand the ability to problem-solve independently

Comfort working withincomplete or evolving data

Experience influencing decisions, not just reporting numbers

Bachelorโ€™s degree inStatistics, Applied Math, Data Science, or related field

Proficiency withSQL, Tableau or Power BI, Excel, andPython or R

Experience withA/B testing and performance measurement

Nice to Have

Experience withpredictive modeling, machine learning, or AI

Familiarity withgaming or online player data(slots a plus)

Experience withSnowflakeand modern data stacks

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

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