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

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Experience deploying ML/GenAI systems in production environments. * data scientist * Can do ML model Roles & Responsibilities * Design, develop, and deploy GenAI applications using LLMs. * Build and ...

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

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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 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.
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Cities near Boca Raton, FL with the most Data Scientist job openings:

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, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.

AI & Business Intelligence Engineer

NitroFill

Deerfield Beach, FL • On-site

$95K - $115K/yr

Full-time

Re-posted 7 days ago

Job description

VSS Group is expanding and seeking an AI & Business Intelligence Engineer based onsite in Deerfield Beach, FL to help transform how the organization accesses, understands, and acts on business data.
HIGHLIGHTS:
  • Growth-focused company with genuine career development opportunities
  • Work directly with senior leaders to build AI-powered data and reporting solutions
  • $95,000-$115,000 base salary to start + Full Benefits
  • Represent a premium suite of vehicle protection solutions trusted by top dealerships, with the three core products of VSS Group: NitroFill, Cilajet, and Alacarte.
  • Onsite role in Deerfield Beach, FL
  • Opportunity to build natural language analytics, Power BI dashboards, ERP data pipelines, and Microsoft Copilot Studio agents while helping lead the company toward a modern, AI-enabled data culture.

COMPANY: VSS Group is a trusted partner for auto dealerships, agents, and warranty administrators, offering industry-leading vehicle protection products and sales solutions that drive growth and customer loyalty. Our core products-NitroFill, Cilajet, and Alacarte-deliver premium protection, performance, and personalization for automotive customers. We empower our partners with expert training, ongoing marketing support, and innovative solutions that enhance customer retention and dealership profitability.
At VSS Group, your success is our mission-backed by first-in-class products and a commitment to long-term value.
Learn more about VSS Group here: https://vssgrp.com/
DAY IN THE LIFE: As an AI & BI Engineer, you will help transform how VSS Group accesses, analyzes, and acts on data across the business. This is an AI-forward role focused on architecting and operationalizing a natural language analytics layer on top of the company's ERP platform, including Odoo. You'll design intelligent data pipelines, automate reporting workflows, build Power BI dashboards and semantic models, and deploy Microsoft Copilot Studio agents that allow business users to query live ERP data without relying on IT or BI to manually create reports.
You'll partner closely with business leaders, ERP administrators, and stakeholders to understand reporting needs, map ERP data models, ensure data quality, and develop scalable BI and AI-enabled solutions. The ideal candidate is equally comfortable writing SQL, building ETL pipelines, configuring Copilot Studio agents, working with Power BI, and translating a senior leader's reporting need into a practical analytics solution. Success in this role is measured by adoption, enablement, and helping the business make faster, smarter decisions with fewer manual reporting bottlenecks.
QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Technology, or a related field preferred
  • 3+ years of hands-on experience with ERP systems, with Odoo strongly preferred
  • Experience as a Data Manager, Data Analyst, Data Architect, BI Engineer, Data Scientist, or similar role
  • Strong experience with SQL, Power BI, Excel, dashboards, reporting, and data analysis
  • Experience building and maintaining ETL/ELT pipelines, data models, semantic models, and reporting-ready datasets
  • Hands-on experience with Microsoft Copilot Studio, Power Platform, Power Automate, or similar AI/automation tools strongly preferred
  • Experience building or deploying AI/LLM agent solutions using tools such as Azure AI Foundry, LangChain, Semantic Kernel, or similar frameworks preferred
  • Experience with Python, APIs, SharePoint, Microsoft O365, sFTP, webservers, or data integration platforms preferred
  • Ability to map ERP data structures, including financial, inventory, sales, manufacturing, GL, AP/AR, and order data, into BI-ready models
  • Strong automation mindset with a desire to eliminate repetitive manual work through AI agents, scripting, RPA, or workflow automation
  • Detail-oriented, highly organized, and committed to data quality, accuracy, and governance
  • Strong communication skills with the ability to translate business needs into technical solutions
  • Genuine curiosity about AI and emerging technologies
  • Desire to be part of a growing and evolving culture with a strong bias toward adding value and improving existing processes

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