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Data Science And Analytics Jobs in Boca Raton, FL

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

... data science solutions that improve sugarcane research and operational decision-making. This role ... Apply geospatial analytics, GIS, drone imagery, satellite imagery, proximal sensing, and other ...

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 ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL

$20/hr

This role provides firsthand exposure to data intelligence, analytics, artificial intelligence, and operational reporting while supporting Data Intelligence Analysts, Data Scientists, and other team ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Boca Raton, FL

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:

Data Science And Analytics jobs near you
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.

Director, Marketing Analytics

Cinch Home Services, Inc.

Boca Raton, FL • On-site

Full-time

Re-posted 16 days ago

Job description

Description
The Director, Marketing & Sales Analytics will report to the Chief Data & Analytics Officer and be responsible for delivering business priorities and through testing and measurement, Insights, and Advanced Analytics. The role will work in a highly matrixed manner with the business- i.e. the leaders of the Marketing and Product teams. This person will serve as the primary interface for delivering the Data & Analytics shared goals with these business units, contributing to delivering the budget, shared business priorities, and strategy. This leader is also expected to act as a key stakeholder and partner supporting Learning Agenda development, and the shaping of the Company's data & AI strategies and technology roadmap.
What You Have
• Bachelor's degree in computer science, Economics, Information Systems, Statistics, Operations Research, Applied Math, or another related field or equivalent work experience
• MBA or Masters, Applied Data Analytics preferred but not required
• 7+ years of experience using analytics and statistical methods to deliver business value in Marketing and Sales, with preferably with some time spent in subscription-based companies, agency or consulting
• 7+ years of experience managing the development of learning agendas and measurement protocol
• 5+ years of experience in data science, data analytics, web analytics, and marketing analytics
• Expert experience with SQL, Python
• Experience with managing data scientists through development, deployment and operationalization of statistical models in a production environment
• Strong influencing and written/oral storytelling capability with proven experience working directly with business leaders
• A positive, collaborative attitude and hands-on style, someone used to work in a fast-paced environment
• The ability to evaluate processes and drive continuous improvement
What You'll Do
• Working closely with the business leaders and their reports in building data driven strategy, insight and recommendations in line with the Company's business priorities
• Be D&A's point leader working with the business for the creation of learning agendas, test and learn setups, performance measurement and the development of so-what conclusions
• The role will oversee a team of analyst direct reports, as well as be the guide to D&A's data scientists, BI & data engineers, and PMO leaders through discovery, development, prototyping and ultimately scaling of successful initiatives
• Integrate data collection, data quality, and advanced analytics output into application
• Apply data mining techniques to uncover actionable business insights
• Establish, define the data governance created process and policies for your areas
• Ensure and improve data integrity, data accuracy, and data quality
• Oversee machine learning model development partnering with the data science team
• Partner with Technology teams, and D&A's data engineering, data science, and business intelligence teams to build a scalable data infrastructure to support ai readiness
• Identify and utilize 3rd party data sources to enhance analytics
• Lead executive level presentations and strategy discussions
• Perform other duties as assigned
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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