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

Data Engineer

Davie, FL ยท On-site

$104K - $126K/yr

Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b. Predictive ...

Azure Data Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

  • PTO

Training & development Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is a lead guy and ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure that the optimal data delivery is consistent ...

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.

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

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

Senior Data Engineer

Boca Raton, FL ยท On-site

$100K - $136K/yr

  • Medical

  • PTO

As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We ...

DATA INTELLIGENCE INTERN

Boca Raton, FL ยท On-site

$20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

DATA INTELLIGENCE INTERN

Boca Raton, FL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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.

Showing results 41-60

Data Science information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Boca Raton, FL? The most popular types of Data Science jobs in Boca Raton, FL are:
What are popular job titles related to Data Science jobs in Boca Raton, FL? For Data Science jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Boca Raton, FL look for? The top searched job categories for Data Science jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Science jobs? Cities near Boca Raton, FL with the most Data Science job openings:
Infographic showing various Data Science job openings in Boca Raton, FL as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.

Director, Data Intelligence

Kforce Technology Staffing

West Palm Beach, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Director, Data Intelligence in West Palm Beach, FL.
Summary:
The Director of Data Intelligence will lead the enterprise Data Intelligence function within the Technology organization, bringing together Analytics Engineering, Business Intelligence, Reporting, Dashboard Development, Data Science, Predictive Modeling, and AI-enabled Analytics into a unified team focused on transforming trusted company data into actionable insights and scalable analytics products.
This leader will strengthen the organization's ability to leverage data to improve business performance, decision-making, operational execution, customer experience, revenue management, marketing effectiveness, investment analysis, and enterprise planning. The Director will be responsible for ensuring alignment across data preparation, metric definition, analytical modeling, reporting, and business insight generation while establishing a scalable and high-performing analytics ecosystem.
Key Responsibilities:
* Establish and execute the vision, operating model, roadmap, and delivery standards for the Data Intelligence organization, aligned with Technology and business priorities
* Partner with executive leadership and key business stakeholders to identify high-value analytics opportunities and translate business needs into actionable data products
* Develop and maintain clear communication with leadership regarding roadmap progress, analytical findings, risks, dependencies, recommendations, and business impacts
* Foster a culture of analytical rigor, accountability, continuous improvement, documentation, knowledge sharing, and measurable business outcomes
* Oversee the development of reusable data assets, semantic models, curated datasets, dashboards, reports, analytical models, and self-service analytics capabilities
* Drive consistency in business metrics, reporting definitions, analytical standards, and executive performance measurement
REQUIREMENTS:
* Bachelor's degree required
* 5+ years of progressive experience in: Analytics; Business Intelligence; Data Science; Analytics Engineering; Data Products; Data Strategy; Related Technology disciplines
* 5+ years of leadership experience managing analytics, BI, reporting, data science, data product, or related technical teams
Technical & Functional Expertise:
* Demonstrated success integrating Business Intelligence, Analytics Engineering, and Data Science into a cohesive delivery model
* Strong understanding of: Data modeling; Metric definitions; Semantic layers; Reporting platforms; Dashboard design principles; Self-service analytics enablement
* Experience leading: Reporting modernization initiatives; Dashboard delivery programs; Report rationalization efforts; Migrations to scalable BI platforms (e.g., Power BI)
* Experience partnering with executive leadership and cross-functional stakeholders to prioritize investments and communicate analytical outcomes
* Working knowledge of: Data Science methodologies; Predictive analytics; Machine learning; AI-enabled analytics; Model evaluation techniques
* Strong understanding of data governance concepts, including: Data ownership; Stewardship; Data quality; Lineage; Accountability; Business adoption
* Proficiency with: SQL; Data visualization platforms; Cloud and enterprise data platforms; Modern analytics development practices; Data lifecycle management concepts
* Ability to translate business needs into: Analytical roadmaps; Data products; Dashboards; Insights and recommendations that drive measurable results
Leadership Competencies:
* Outstanding communication and stakeholder management skills
* Strong team leadership, coaching, and talent development capabilities
* Demonstrated ability to prioritize effectively and lead organizational change
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.